# Best Text Analysis Software ## How Many Text Analysis Software Products Does G2 Track? **Total Products under this Category:** 191 ### Category Stats (Jul 2026) - **Average Rating:** 4.51/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** IBM Watson Natural Language Understanding (+0.26%) - Among all products in this category, IBM Watson Natural Language Understanding recorded the largest rating increase compared to last month _Last updated: July 29, 2026_ ## How Does G2 Rank Text Analysis Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 5,300+ Authentic Reviews - 191+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Text Analysis Software ![G2 Grid® for Text Analysis Software plotting products by satisfaction and market presence](https://www.g2.com/categories/text-analysis/grids.png?focus%5B%5D=1327283&focus%5B%5D=52116&focus%5B%5D=19895&focus%5B%5D=21472&focus%5B%5D=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=104578) Highlighted products: SAS Viya, Amazon Comprehend, Chattermill, Google Cloud Natural Language API, Caplena, Canvs, Birdie, and Dovetail. Underlying data: [Grid® JSON](https://www.g2.com/categories/text-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=amazon-comprehend&focus%5B%5D=chattermill&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=caplena&focus%5B%5D=canvs-ai-canvs&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=dovetail-research-pty-ltd-dovetail) **Sponsored** ### EdgeTier Are you tired of excel sheets, pivot tables, reading transcripts, filling QA forms, building custom dashboards, to find answers to "what is going on in my contact centre"? You've come to the right place. The EdgeTier Conversational Intelligence and Support Platform helps Customer Support teams uncover the missed insights in their support and survey messages, react faster to emerging customer issues, and have the data they need at their fingertips to make decisions, positioning the contact centre as a strategic hub of insights for the entire company. Global Brands like Abercrombie & Fitch, CarTrawler, TUI Travel, and Ryanair use EdgeTier to process millions of customer messages, boost NPS, CSAT and first contact resolution scores, as well as improve overall efficiency. Having 24/7 insights into customer attitudes, helps you understand customer issues, detect emerging conversational trends in real time, and improve agent performance. Key functionality: - Real-time integrations with every customer contact centre system - Proactive AI alerting with real time detection of unforeseen customer issues - Automated Agent QA performance reports and analysis - Automatic tagging of customer messages and surveys - Get real-time alerts for critical customer interactions (set up in advance) - Sentiment analysis and emotion detection of all your customer and agent interactions - Real-time reporting and KPI analysis - AI assisted chat and email handling EdgeTier seamlessly integrates with existing customer support systems without needing any IT time, and monitors customer conversations 24/7 in multilingual environments, as well as providing prompts to support agents speaking to customers. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-07-29T17%3A54%3A40Z&secure%5Bdisplayable_resource_id%5D=1260&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1260&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=115228&secure%5Bresource_id%5D=1260&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftext-analysis%3Fopen_modal_url%3D%252Fproducts%252Finmoment-text-analytics%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Ftext-analysis%2526source%253Dcategory&secure%5Btoken%5D=73e5cca844a5d86558348efbe67e4f58afaf675c0ae19d1e722a0e4781c02dfc&secure%5Burl%5D=https%3A%2F%2Fwww.edgetier.com%2Fcustomer-conversation-analytics%3Futm_source%3Dg2%26utm_medium%3Dpaid%26utm_campaign%3Dg2-contact-center-2026&secure%5Burl_type%5D=custom_url) ### [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. **Average Rating:** 4.3/5.0 **Total Reviews:** 773 #### How Do G2 Users Rate SAS Viya? - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.0/10) - **Custom Extension:** 7.4/10 (Category avg: 8.1/10) - **Compositionality:** 8.2/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.7/10 (Category avg: 8.3/10) #### Who Is the Company Behind SAS Viya? - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Company Website:** www.sas.com - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware 60,863 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website) 18,638 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Student, Biostatistician - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Large, 33% Small #### What Do G2 Reviewers Say About SAS Viya? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency. - Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making. - Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making. - Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels. ##### Cons - Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively. - Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively. - Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners. - Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users. - Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption. #### What Are Recent G2 Reviews of SAS Viya? **["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)** **Rating:** 4.5/5.0 stars _— Fungai J._ [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818) **["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)** **Rating:** 5.0/5.0 stars _— Verified User in Hospital & Health Care_ [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145) #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments ### [Amazon Comprehend](https://www.g2.com/products/amazon-comprehend/reviews) Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic. **Average Rating:** 4.3/5.0 **Total Reviews:** 82 #### How Do G2 Users Rate Amazon Comprehend? - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.0/10) - **Custom Extension:** 7.9/10 (Category avg: 8.1/10) - **Compositionality:** 8.5/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.2/10 (Category avg: 8.3/10) #### Who Is the Company Behind Amazon Comprehend? - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud 2,232,483 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 employees on LinkedIn® - **Ownership:** NASDAQ: AMZN #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Accounting - **Company Size:** 41% Medium, 40% Small #### What Do G2 Reviewers Say About Amazon Comprehend? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **data protection** features of Amazon Comprehend, ensuring sensitive information is managed securely. - Users value the **valuable insights** that Amazon Comprehend provides, making data analysis from text simpler and more efficient. - Users appreciate the **ease of use** of Amazon Comprehend, enabling valuable insights without needing machine learning experience. - Users appreciate the **valuable insights extraction** capability of Amazon Comprehend, enhancing their data analysis processes efficiently. - Users value the **insightful text analysis** capabilities of Amazon Comprehend, enhancing understanding from various textual sources. ##### Cons - Users find that **accuracy issues** arise without sufficient training data, impacting insights and increasing costs significantly. - Users find the **cost of Amazon Comprehend high** , particularly when dealing with large volumes of data for analysis. - Users find that **insufficient training** can limit accuracy and raise costs for high-volume data processing with Amazon Comprehend. #### What Are Recent G2 Reviews of Amazon Comprehend? **["Efficient text analysis with minimal setup"](https://www.g2.com/survey_responses/amazon-comprehend-review-12938148)** **Rating:** 4.5/5.0 stars _— jahan a._ [Read full review](https://www.g2.com/survey_responses/amazon-comprehend-review-12938148) **["Accurate Pre-Trained NLP Models with Seamless PII Redaction"](https://www.g2.com/survey_responses/amazon-comprehend-review-12955644)** **Rating:** 4.5/5.0 stars _— Ruchi P._ [Read full review](https://www.g2.com/survey_responses/amazon-comprehend-review-12955644) ### [Chattermill](https://www.g2.com/products/chattermill/reviews) Chattermill is the AI-native customer experience intelligence (CXI) platform that unifies fragmented feedback and surfaces what to act on first. Built for the agentic era, it's used by CX, Voice of Customer (VoC), product, support, and insights teams at enterprise brands who need to turn scattered feedback into a clear next move, not another dashboard nobody opens. Chattermill connects to 100+ feedback channels, including surveys, reviews, support tickets, conversations, and social media. It translates and transcribes feedback in 100+ languages, enriches every signal with context (customer ID, channel, location), and classifies each piece of feedback with Lyra, Chattermill's proprietary AI model. Lyra combines aspect-based sentiment analysis, supervised learning, and large language models, so categorization stays consistent even at high volume. Once feedback is organized, teams get metrics tracking for NPS, CSAT, and sentiment, precision insights that point to specific issues and opportunities, AI summaries backed by real customer quotes, impact analysis that shows what's actually moving key metrics, and anomaly detection that flags spikes before they escalate. Reports and dashboards make it easy to share findings and keep every team working from the same picture. Chattermill also connects directly into AI agents through MCP and Skills, so teams can query verified customer intelligence from Claude, ChatGPT, or any MCP-compatible agent without leaving their workflow. Lyra Agent, Chattermill's natively-integrated CX agent, works in the background to surface high-impact insights on its own. Uber, HelloFresh, Booking.com, Tesco, JustEat, and H&M use Chattermill to understand their customers. Uber has 400+ users across CX, product, and operations. HelloFresh used it to launch 7 new brands built around what customers were asking for. Footasylum cut contacts per transaction by 42.8%. Chattermill is SOC 2 Type II and ISO 27001 certified, and compliant with GDPR and CCPA. G2 has recognized Chattermill as a Grid Leader and Momentum Leader in Feedback Analytics. **Average Rating:** 4.4/5.0 **Total Reviews:** 236 #### How Do G2 Users Rate Chattermill? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10) - **Custom Extension:** 7.9/10 (Category avg: 8.1/10) - **Compositionality:** 7.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Chattermill? - **Seller:** [Chattermill](https://www.g2.com/sellers/chattermill) - **Year Founded:** 2015 - **HQ Location:** London - **Twitter:** @ChattermillAI 460 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d74c2a4d9f3274c1f06539a6eb989c4d31b2029de64343d6b01930fb2b7d0fd6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9443815%2F&secure%5Burl_type%5D=linkedin_company_website) 76 employees on LinkedIn® - **Ownership:** Private #### Who Uses This Product? - **Who Uses This:** Senior Product Manager, Product Manager - **Top Industries:** Retail, Financial Services - **Company Size:** 48% Medium, 45% Large #### What Do G2 Reviewers Say About Chattermill? _AI-generated summary from verified user reviews_ ##### Pros - Users find Chattermill's **ease of use** exceptional, enabling quick access to valuable insights without extensive training. - Users value the **real-time feedback management** of Chattermill, enhancing their ability to respond swiftly to customer reviews. - Users value the **clarity of customer insights** from Chattermill, enabling informed decisions and improved service strategies. - Users value the **actionable insights** generated by Chattermill, which greatly enhance service quality and decision-making. - Users appreciate the **cleanliness and organization of reviews** in Chattermill, enhancing the analysis of customer feedback. ##### Cons - Users find **insufficient information** in Chattermill, noting a steep learning curve and a need for better guidance. - Users find the **interface not intuitive** , making it challenging to access insights and create dashboards efficiently. - Users note that the **AI limitations** hinder insights and guidance, affecting the overall analytical experience. - Users experience **inaccuracy** issues with Chattermill's AI, leading to misclassifications and unreliable insights at times. - Users find the **complex usability** of Chattermill challenging, especially for occasional users and new adopters. #### What Are Recent G2 Reviews of Chattermill? **["Chattermill Turns Multilingual Customer Feedback into Actionable Product Insights"](https://www.g2.com/survey_responses/chattermill-review-12772265)** **Rating:** 4.5/5.0 stars _— Florent J._ [Read full review](https://www.g2.com/survey_responses/chattermill-review-12772265) **["Intuitive Feedback Analysis with Room for Deeper Insights"](https://www.g2.com/survey_responses/chattermill-review-10437099)** **Rating:** 4.0/5.0 stars _— Thomas Z._ [Read full review](https://www.g2.com/survey_responses/chattermill-review-10437099) #### What Are G2 Users Discussing About Chattermill? - [What is Chattermill used for?](https://www.g2.com/discussions/what-is-chattermill-used-for) - 1 comment ### [Google Cloud Natural Language API](https://www.g2.com/products/google-cloud-natural-language-api/reviews) Derive insights from unstructured text using Google machine learning. **Average Rating:** 4.3/5.0 **Total Reviews:** 98 #### How Do G2 Users Rate Google Cloud Natural Language API? - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **Custom Extension:** 8.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.8/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) #### Who Is the Company Behind Google Cloud Natural Language API? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 55% Small, 23% Large #### What Do G2 Reviewers Say About Google Cloud Natural Language API? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **database upload capability** of Google Cloud Natural Language API, enhancing decision-making in healthcare services. - Users value the **efficient data handling** of Google Cloud Natural Language API, enhancing decision-making in healthcare services. - Users love the **database upload support** of Google Cloud Natural Language API, enhancing decision-making in various applications. ##### Cons - Users find the **interface not user-friendly** , making it difficult to understand and effectively utilize the API. #### What Are Recent G2 Reviews of Google Cloud Natural Language API? **["Various machine learning to n number of peopleople"](https://www.g2.com/survey_responses/google-cloud-natural-language-api-review-10993983)** **Rating:** 5.0/5.0 stars _— CA. Dishi T._ [Read full review](https://www.g2.com/survey_responses/google-cloud-natural-language-api-review-10993983) **["Evolving AI Software That’s Becoming Incredibly Helpful"](https://www.g2.com/survey_responses/google-cloud-natural-language-api-review-12836718)** **Rating:** 5.0/5.0 stars _— Lisa S._ [Read full review](https://www.g2.com/survey_responses/google-cloud-natural-language-api-review-12836718) ### [Caplena](https://www.g2.com/products/caplena/reviews) Caplena is the feedback intelligence layer that helps brands and research teams turn open-ended feedback into precise, actionable insights — without the rigidity of traditional CX platforms. Built with Swiss precision, Caplena combines deep analytical power, unmatched flexibility, and intuitive simplicity. Teams can analyze any feedback source with human level accuracy, refine themes interactively, and model datasets independently — no data scientists required. Trusted by 200+ organizations including DHL, Lufthansa, and Euromonitor, Caplena delivers transparent, explainable AI, customizable dashboards, and agentic workflows that helps teams move from unstructured feedback to world-class insights, fast. **Average Rating:** 4.5/5.0 **Total Reviews:** 53 #### How Do G2 Users Rate Caplena? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) - **Custom Extension:** 8.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.2/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.1/10 (Category avg: 8.3/10) #### Who Is the Company Behind Caplena? - **Seller:** [Caplena](https://www.g2.com/sellers/caplena) - **Company Website:** www.caplena.com - **Year Founded:** 2017 - **HQ Location:** Zürich, CH - **Twitter:** @CaplenaCH 69 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab43232f70202dbb8a603ca49211f9d64e775b1563155748868dc09dbb1ce072&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F27224654%2F&secure%5Burl_type%5D=linkedin_company_website) 27 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Market Research - **Company Size:** 34% Medium, 25% Small #### What Do G2 Reviewers Say About Caplena? _AI-generated summary from verified user reviews_ ##### Pros - Users find Caplena's platform **extremely easy to use** , appreciating its intuitive design and responsive support team. - Users commend the **invaluable support** from Caplena's team, appreciating their helpfulness and efficiency in assistance. - Users find Caplena's **advanced categorization features** invaluable for analyzing and visualizing customer feedback effectively. - Users value the **AI integration** in Caplena for its efficiency in analyzing data and categorizing topics effectively. - Users appreciate the **efficiency of AI technology** in Caplena, significantly speeding up data analysis and project setup. ##### Cons - Users find Caplena to be **not intuitive** , requiring more user-friendliness and clearer context explanations for effective usage. - Users find that the **missing features** hinder effective data usage and understanding, impacting overall experience with Caplena. - Users face **limitations in workflow integration** and require complementary tools to fully utilize Caplena's insights. - Users find the **lack of auto-coded data** and functionality limitations frustrating for their data management needs. - Users find Caplena's **lack of essential features** limits its effectiveness for case management and operational follow-up. #### What Are Recent G2 Reviews of Caplena? **["Caplena Turns Open-Ended Feedback into Actionable Insights Fast"](https://www.g2.com/survey_responses/caplena-review-13122445)** **Rating:** 5.0/5.0 stars _— Ki-Hoan J._ [Read full review](https://www.g2.com/survey_responses/caplena-review-13122445) **["Completely overhauled our data analysis process"](https://www.g2.com/survey_responses/caplena-review-13169090)** **Rating:** 5.0/5.0 stars _— Verified User in Market Research_ [Read full review](https://www.g2.com/survey_responses/caplena-review-13169090) #### What Are G2 Users Discussing About Caplena? - [What is Caplena used for?](https://www.g2.com/discussions/what-is-caplena-used-for) ### [Birdie](https://www.g2.com/products/birdie-ai-birdie/reviews) Beyond Customer Intelligence: The Customer Context Platform that makes CX a revenue conversation. Birdie is the only platform that combines Customer Intelligence and Frontline Intelligence into a single closed-loop CX decision system. Where most customer intelligence tools stop at insight, Birdie closes the loop — from signal detection, through prioritized decision, to execution, to verified business impact. Most teams know their customers are frustrated. The harder problem is knowing which issues to fix first, whether your agents are handling them consistently, and whether the changes you made actually worked. That's what Birdie is built to answer. By connecting directly with Zendesk, Salesforce, Intercom, and the rest of your stack, Birdie automatically analyzes high-volume interactions at scale — then surfaces not just what's happening, but which product gaps, process failures, and interaction quality issues are costing you most. With Birdie, your team can: - Detect signals automatically: AI categorizes issues, surfaces root causes, and identifies frustration patterns across every customer touchpoint - Prioritize by business impact: rank product, process, and interaction issues by revenue risk, churn signal, and operational cost — not by volume or recency - Audit agent quality at scale: go beyond CSAT scores to understand what's actually driving good and bad interactions, and coach accordingly - Close the loop: track which decisions get acted on, and verify that improvements moved the metrics that matter - Align Product, CX, and Leadership: share one version of the truth, not three different dashboards with three different answers CX and operations leaders at Nubank, Upwork, Betterment, Experian, and Patreon use Birdie to turn over 50 million monthly interactions into measurable ROI on retention, efficiency, and growth. If your team is still moving from insight to action manually, Birdie closes that gap. **Average Rating:** 4.8/5.0 **Total Reviews:** 42 #### How Do G2 Users Rate Birdie? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Birdie? - **Seller:** [Birdie.ai](https://www.g2.com/sellers/birdie-ai-4ab7c489-fcdb-42c4-b38b-7a5884228262) - **Company Website:** birdie.ai - **Year Founded:** 2019 - **HQ Location:** Palo Alto, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ca752490267fa104d9b08056b229cc8079506f6b77167ba833a0c593ad0f2e63&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fusebirdie%2F&secure%5Burl_type%5D=linkedin_company_website) 63 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Financial Services - **Company Size:** 56% Medium, 35% Large #### What Are Recent G2 Reviews of Birdie? **["Essential for rapid response, de-escalation, and understanding complex cases."](https://www.g2.com/survey_responses/birdie-review-13162799)** **Rating:** 5.0/5.0 stars _— Luana G._ [Read full review](https://www.g2.com/survey_responses/birdie-review-13162799) **["Intuitive Voice of Customer Analysis with Birdie and Outstanding Support"](https://www.g2.com/survey_responses/birdie-review-13163747)** **Rating:** 5.0/5.0 stars _— Louiza T._ [Read full review](https://www.g2.com/survey_responses/birdie-review-13163747) ### [Canvs](https://www.g2.com/products/canvs-ai-canvs/reviews) Businesses struggle to understand the true meaning behind customer feedback, and how to action it. Canvs solves this by using advanced AI to analyze unstructured data, turning complex customer sentiments into clear, actionable intelligence. By revealing the emotional drivers behind customer behavior, Canvs enables brands to make more empathetic, data-driven decisions that boost customer loyalty, drive innovation, and create deeper connections with their audience. **Average Rating:** 4.3/5.0 **Total Reviews:** 147 #### How Do G2 Users Rate Canvs? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10) - **Custom Extension:** 7.2/10 (Category avg: 8.1/10) - **Compositionality:** 7.6/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.4/10 (Category avg: 8.3/10) #### Who Is the Company Behind Canvs? - **Seller:** [Canvs AI](https://www.g2.com/sellers/canvs-ai) - **Company Website:** canvs.ai - **Year Founded:** 2010 - **HQ Location:** New York, New York - **Twitter:** @canvsai 2,656 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=053a4113f64f77963dd604bdf0ca743f152f927d5b7d4974de05289133d543a9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcanvsai%2F&secure%5Burl_type%5D=linkedin_company_website) 23 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Market Research, Entertainment - **Company Size:** 41% Large, 32% Small #### What Do G2 Reviewers Say About Canvs? _AI-generated summary from verified user reviews_ ##### Pros - Users commend the **ease of use** of Canvs AI, appreciating its intuitive interface and seamless navigation for analysis. - Users praise the **AI-driven insights** of Canvs, providing tailored feedback and enhancing customer experience efficiently. - Users value the **insight generation capability** of Canvs, making it easy to extract key themes from data efficiently. - Users value the **responsive and knowledgeable customer support** from Canvs, enhancing their experience and efficiency. - Users find Canvs to be **incredibly helpful** and effective in simplifying complex coding tasks and generating insights. ##### Cons - Users find the **AI's filtering capabilities limited** , making it difficult to obtain targeted insights from specific responses. - Users find the **accuracy in categorization** of Canvs lacking, leading to difficulties in obtaining targeted insights. - Users experience **slow performance** when processing larger datasets, leading to frustrating delays during data analysis. - Users experience **software instability** with Canvs, often encountering glitches and slow performance during data analysis. - Users face **accuracy issues** with Canvs, often requiring manual adjustments to correct misclassifications and inconsistent insights. #### What Are Recent G2 Reviews of Canvs? **["Time saver, a must-have for qualitative analyses"](https://www.g2.com/survey_responses/canvs-review-11406657)** **Rating:** 5.0/5.0 stars _— Verified User in Hospital & Health Care_ [Read full review](https://www.g2.com/survey_responses/canvs-review-11406657) **["Canvs AI is a great tool to analyze data from multiple sources all at once, in a seamless way."](https://www.g2.com/survey_responses/canvs-review-11085943)** **Rating:** 4.5/5.0 stars _— Erika L._ [Read full review](https://www.g2.com/survey_responses/canvs-review-11085943) #### What Are G2 Users Discussing About Canvs? - [What is Canvs AI used for?](https://www.g2.com/discussions/what-is-canvs-ai-used-for) ### [Dovetail](https://www.g2.com/products/dovetail-research-pty-ltd-dovetail/reviews) It’s never been easier to build a product or service. The barriers to entry (ideas, talent, and tooling) are quickly becoming commoditized by AI. The faster your teams align behind and solve the most critical customer problems, the more revenue and market share you unlock. The only way to win is to identify what customers need and deliver it before the competition. But this is difficult to do. Data is scattered across teams and tools using various methods and it is difficult to understand, and align on, at speed. Even in the world of AI, the unique challenges associated with gathering, analyzing, and understanding complex customer feedback lead to teams wasting millions of dollars in failed products, slower development cycles, and duplicated efforts. As a result, they are continually risking decreases in customer satisfaction, and ultimately revenue. Dovetail provides always-on customer understanding. Our AI-native customer intelligence platform automatically turn sales calls, user feedback, support tickets, and voice of customer data into actionable insights that grow your business. Dovetail integrates with dozens of tools like Gong, Intercom, Zoom, Salesforce, Slack, Teams, and Google Play to analyze video, audio, documents, and text. Auto-generate reports and requirements documents; configure dashboards to visualize trends; and set up agents to ensure insights are acted on. Enable your team to track feature requests, identify pain points, reduce churn, and increase customer satisfaction through high-quality, accurate, and real-time customer intelligence that’s accessible to everyone. Deploy the industry-standard, enterprise-grade system of record for all of your customer intelligence. Put your customer first and grow your business. We’re for teams who care about solving real customer problems. Join the likes of Meta, Volvo, AWS, Dyson, Deloitte, and thousands more as they put their customer first with Dovetail. **Average Rating:** 4.5/5.0 **Total Reviews:** 167 #### How Do G2 Users Rate Dovetail? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10) - **Custom Extension:** 4.5/10 (Category avg: 8.1/10) - **Compositionality:** 5.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 5.1/10 (Category avg: 8.3/10) #### Who Is the Company Behind Dovetail? - **Seller:** [Dovetail Research Pty. Ltd.](https://www.g2.com/sellers/dovetail-research-pty-ltd) - **Company Website:** dovetail.com - **Year Founded:** 2017 - **HQ Location:** Sydney, Australia - **Twitter:** @hidovetail 2,183 Twitter followers - **LinkedIn® Page:** [au.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=681367e9652c5d78585cc44cb1824f4ea5f1e39a36020ed5ad6f453ded053976&secure%5Burl%5D=https%3A%2F%2Fau.linkedin.com%2Fcompany%2Fheydovetail&secure%5Burl_type%5D=linkedin_company_website) 163 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Senior UX Researcher, UX Researcher - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 45% Medium, 27% Small #### What Do G2 Reviewers Say About Dovetail? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Dovetail, enjoying its centralized location and intuitive features for research synthesis. - Users love Dovetail for its **centralized research organization** and impressive AI features that enhance data interaction. - Users value the **intuitive interface and powerful features** of Dovetail, enhancing research efficiency and team collaboration. - Users value the **efficient data reuse** of Dovetail, allowing quicker insights and reducing the need for repeated studies. - Users value the **data re-use capabilities** of Dovetail, significantly enhancing research efficiency and insights. ##### Cons - Users find Dovetail's **missing features** frustrating, particularly in AI tools, tagging, workflows, and reporting options. - Users experience a **lack of guidance** with Dovetail, struggling to navigate setup and optimize usage effectively. - Users find the **complex tagging system** and AI features in Dovetail challenging, complicating their overall experience and effectiveness. - Users find the **complexity** of Dovetail challenging, highlighting a steep learning curve and cumbersome tagging methods. - Users find the **steep learning curve** of Dovetail frustrating, hindering effective long-term project management and insights sharing. #### What Are Recent G2 Reviews of Dovetail? **["Dovetail Centralizes Research with Intuitive, AI-Powered Collaboration"](https://www.g2.com/survey_responses/dovetail-review-12911093)** **Rating:** 4.5/5.0 stars _— Luciana S._ [Read full review](https://www.g2.com/survey_responses/dovetail-review-12911093) **["Dovetail helped us find our way to product market fit"](https://www.g2.com/survey_responses/dovetail-review-10368938)** **Rating:** 4.5/5.0 stars _— Emilio P._ [Read full review](https://www.g2.com/survey_responses/dovetail-review-10368938) ### [Kimola](https://www.g2.com/products/kimola/reviews) Kimola lets you scrape and collect feedback from 30+ channels, then analyze, classify, and summarize it all—from product reviews and survey responses to chats and call-center conversations. Whether it’s e-commerce reviews, CSAT responses, or support tickets, Kimola transforms raw feedback into structured insights you can act on. Trusted by clients across 90+ countries Trusted by clients in 90+ countries, 1000+ businesses, Kimola is used by global enterprises like P&G Singapore, Pizza Hut Spain, Michelin Brazil, Honda Netherlands, Costa Coffee UK, Lufthansa Airlines as well as growing SMBs including Plan3, Astropay and Blueberry Markets. Our users range from product and #CX teams to mobile applications, museums, restaurants, and even pilates studios—proving that understanding your customers matters in every industry. Here are TOP features why 1000+ companies choose Kimola: - Collect reviews and conversations across web, social media, mobile App Stores, e-commerce sites, Tripadvisor, Trustpilot, Google Business and more or upload your custom dataset: Your customers are talking everywhere. Kimola makes it easy to gather their voices from websites, social media, mobile app stores, e-commerce platforms, Intercom, Zendesk, and trusted sources like Tripadvisor, Trustpilot, and Google Business—all in one place. - Auto-Classify instantly and analyze themes with multi-labels & multi-sentiments: No need for prior AI training to analyze your reviews. Just upload your dataset and analyze reviews instantly with multi-aspects and multi-sentiments. Because all researchers will know that single labels won't work for the best insights! - Create Custom Models without even training - Create Summarizations No more sifting through thousands of reviews. Kimola automatically generates structured summaries—from feature requests and pain points to usage motivations and executive-ready reports—so you can take action faster. - Export reports to Powerpoint, PDF, Excel, CSV Easily share your findings across teams. Export your insights in PowerPoint, Excel, or CSV formats to plug directly into your reporting workflows. - Analyze in 30+ languages over 95,4% accuracy rate. Kimola analyzes customer feedback in over 30 languages with a very high accuracy rate, helping you understand your audience like never before. **Average Rating:** 4.8/5.0 **Total Reviews:** 24 #### How Do G2 Users Rate Kimola? - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.0/10) - **Custom Extension:** 9.0/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.1/10 (Category avg: 8.3/10) #### Who Is the Company Behind Kimola? - **Seller:** [Kimola](https://www.g2.com/sellers/kimola) - **Year Founded:** 2014 - **HQ Location:** San Francisco, CALIFORNIA - **Twitter:** @kimola101 857 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=df70e1241db47cc9e8b7bb9b348be3b4a136b73d6e125e0f5c8be761f28e8482&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkimola&secure%5Burl_type%5D=linkedin_company_website) 9 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 63% Small, 29% Medium #### What Do G2 Reviewers Say About Kimola? _AI-generated summary from verified user reviews_ ##### Pros - Users highlight the **exceptional accuracy** of Kimola's thematic and sentiment analysis, surpassing other tools significantly. - Users highlight the **ease of use** of Kimola, enjoying effortless setup and intuitive interface for analysis. - Users find Kimola to be a **time-saving tool** , enabling efficient analysis of thousands of reviews in just hours. - Users commend Kimola's **responsive customer support** , consistently providing helpful assistance when needed for seamless use. - Users appreciate the **ease of understanding customer feedback** with Kimola's accurate insights and intuitive interface. ##### Cons - Users find Kimola **lacking features** such as email reports and surveys, with hopes for future improvements. - Users find the **poor interface design** frustrating, complicating the process of purchasing credits and onboarding. - Users find the **complex setup** of Kimola challenging, especially for those unfamiliar with the onboarding process. - Users find it frustrating that **email functionality issues** are not currently addressed in Kimola, affecting usability. - Users find the **export limitations** frustrating, wishing for more insightful summaries and better presentation options. #### What Are Recent G2 Reviews of Kimola? **["Efficient Sentiment Analysis with Robust Reporting"](https://www.g2.com/survey_responses/kimola-review-12752848)** **Rating:** 5.0/5.0 stars _— Pragya S._ [Read full review](https://www.g2.com/survey_responses/kimola-review-12752848) **["Flexible, Powerful AI for Large-Scale Customer Feedback Analysis"](https://www.g2.com/survey_responses/kimola-review-12772081)** **Rating:** 4.5/5.0 stars _— Rens v._ [Read full review](https://www.g2.com/survey_responses/kimola-review-12772081) ### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps. **Average Rating:** 4.3/5.0 **Total Reviews:** 521 #### How Do G2 Users Rate SAP HANA Cloud? - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.0/10) - **Custom Extension:** 9.2/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) #### Who Is the Company Behind SAP HANA Cloud? - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Company Website:** www.sap.com - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP 297,052 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website) 141,955 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Consultant, SAP Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 61% Large, 26% Medium #### What Do G2 Reviewers Say About SAP HANA Cloud? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics. - Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly. - Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management. - Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined. - Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications. ##### Cons - Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems. - Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise. - Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions. - Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation. - Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning. #### What Are Recent G2 Reviews of SAP HANA Cloud? **["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)** **Rating:** 4.0/5.0 stars _— Sumeet R._ [Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922) **["Real-Time Analytics Powerhouse with Flexible, Scalable Performance."](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)** **Rating:** 5.0/5.0 stars _— Mahendra S._ [Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916) ### [Unwrap.ai](https://www.g2.com/products/unwrap-ai/reviews) At Unwrap, we're on a mission to help fill the world with products people love. Our customer intelligence platform integrates with all of your feedback sources (support tickets, reviews, surveys, and more), then proactively extracts patterns and trends from your feedback and surfaces them to you. With a deeper understanding of all your customers, Unwrap helps you build your product roadmap in confidence, and helps you prevent churn by shipping features users actually want. **Average Rating:** 4.8/5.0 **Total Reviews:** 26 #### How Do G2 Users Rate Unwrap.ai? - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.0/10) #### Who Is the Company Behind Unwrap.ai? - **Seller:** [Unwrap.ai](https://www.g2.com/sellers/unwrap-ai) - **Company Website:** unwrap.ai - **Year Founded:** 2022 - **HQ Location:** Santa Barbara, California - **Twitter:** @unwrapai 152 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e40d58f68df3ad688a24a6996f4a3bee6240b238a8acc8d7753d9f5861ccd686&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Funwrapai%2F&secure%5Burl_type%5D=linkedin_company_website) 48 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 50% Medium, 27% Large #### What Do G2 Reviewers Say About Unwrap.ai? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of synthesizing customer feedback** with Unwrap's AI, enhancing insights and prioritization significantly. - Users find Unwrap.ai to be incredibly **easy to use** , with an intuitive design that ensures quick mastery of the platform. - Users find Unwrap.ai's **helpful and responsive support** invaluable, enhancing their workflow and addressing customer needs efficiently. - Users value the **time-saving insights** from Unwrap.ai, enabling quick identification of customer issues and trends. - Users commend Unwrap.ai for its **commitment to continuous improvement** and attentive customer support driving valuable features. ##### Cons - Users find the **interface not intuitive** , making it challenging to organize and manage feedback efficiently. - Users find **limited tools** hinder their ability to efficiently visualize and manage feedback customization in Unwrap.ai. - Users report a **poor understanding** of feedback due to limited accuracy in AI groupings and clunky manual processes. - Users find the **search functionality lacking** , requiring constant manual adjustments for effective data retrieval and analysis. - Users note the **limited visualization tools** in Unwrap.ai, though the AI's trend detection is highly valued. #### What Are Recent G2 Reviews of Unwrap.ai? **["Unwrap Makes Feedback Reporting Effortless with Powerful AI, Dashboards, and Support"](https://www.g2.com/survey_responses/unwrap-ai-review-12700187)** **Rating:** 5.0/5.0 stars _— Marcello B._ [Read full review](https://www.g2.com/survey_responses/unwrap-ai-review-12700187) **["Real-Time Alerts Turn Customer Feedback Into Actionable Insights"](https://www.g2.com/survey_responses/unwrap-ai-review-12579424)** **Rating:** 4.5/5.0 stars _— Verified User in Consumer Electronics_ [Read full review](https://www.g2.com/survey_responses/unwrap-ai-review-12579424) ### [Speak](https://www.g2.com/products/speak-ai-speak/reviews) Speak is a no-code transcription and natural language processing platform that helps researchers and marketers extract valuable insights from media. Get professional and automated transcription, generate dashboard reports and capture audio, video and text data at scale. Over 150,000+ individuals and teams from over 150 countries have signed up to easily integrate language analysis into workflows for breakthroughs in efficiency and intelligence. Get access to a 7-day trial with 2 hours of transcription and analysis and all features included. **Average Rating:** 4.9/5.0 **Total Reviews:** 28 #### How Do G2 Users Rate Speak? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 9.2/10 (Category avg: 8.1/10) - **Compositionality:** 9.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) #### Who Is the Company Behind Speak? - **Seller:** [Speak Ai](https://www.g2.com/sellers/speak-ai) - **Year Founded:** 2019 - **HQ Location:** Toronto, CA - **Twitter:** @speakai\_co 256 Twitter followers - **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=31e9f838de2b5a63892092163864c0a991223a4a0049ba4974be634ee7b098ba&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fspeakai-co&secure%5Burl_type%5D=linkedin_company_website) 5 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Non-Profit Organization Management - **Company Size:** 89% Small, 7% Medium #### What Do G2 Reviewers Say About Speak? _AI-generated summary from verified user reviews_ ##### Pros - Users find Speak highly **easy to use** , enhancing productivity during meetings and streamlining transcription processes. - Users appreciate the **time-saving** benefits of Speak AI, enabling efficient reports and accurate meeting summaries. - Users appreciate the **high accuracy and insightful analysis** of Speak for enhancing transcription and conversation management. - Users highlight the **impressive accuracy** of Speak AI, enhancing efficiency and transforming transcription and reporting tasks. - Users highlight the **high transcription accuracy** of Speak.ai, which significantly enhances efficiency and user experience. ##### Cons - Users express frustration over the **cost** and find the short trial period limiting for training students. - Users face **subscription issues** including sign-in difficulties, payment concerns, and a short trial period for training. - Users find occasional **accuracy issues** with Speak, requiring some effort to ensure their notes are correct. - Users face **joining issues** such as sign-in difficulties, payment problems, and a short trial period for training. - Users note **translation problems** in French, causing confusion with field titles like meeting notifications. #### What Are Recent G2 Reviews of Speak? **["Impressive tool."](https://www.g2.com/survey_responses/speak-review-11669828)** **Rating:** 5.0/5.0 stars _— Francois L._ [Read full review](https://www.g2.com/survey_responses/speak-review-11669828) **["Speak Should Be Speak Easy"](https://www.g2.com/survey_responses/speak-review-11883693)** **Rating:** 5.0/5.0 stars _— Ted H._ [Read full review](https://www.g2.com/survey_responses/speak-review-11883693) ### [DocuPipe](https://www.g2.com/products/docupipe/reviews) DocuPipe is an AI document processing solution designed to help users efficiently extract and understand information from a wide variety of documents. This software employs advanced computer vision and large language model (LLM) orchestration to analyze documents even when they are long, vary in layout, and have complex tables or handwriting. DocuPipe lets your business easily define how you want to understand your specific document types. Automatically traige incoming documents and map them to right extracion, and get a reliable output every time - even if the document is long, scanned, or comes in at variable layout. Automate anything from invoice processing to patient intake checklist based on lab reports to utility bill understanding. A key feature of DocuPipe is its schema-first extraction capability. Users can just explain in plain English how they want a document to be understood, and the AI engine pores over thousands of documents to build a structure that makes sense given real life documents. This results in strongly typed and consistent outputs, ensuring that the extracted data is reliable and easily integrated with other systems. Unlike LLM-only solutions, DocuPipe is able to ground its predictions in physical text - yellow markering the evidence behind every number, date or conclusion it has drawn from a document. This lets you define review pipeliens for high-stakes processing, or when compliance requires a human in the loop. Focus valuable human attention on lower confidence fields, and unlock a 10x productivity growth for data entry operations. DocuPipe offers a numerous paths to integration. Send your data results to 5000+ destinations unlocked using no-code solutions such as Workato, Make, and n8n. Define workflows with a graphical interface, and hook up complex pipeliens using its extensively documented API. **Average Rating:** 4.9/5.0 **Total Reviews:** 58 #### How Do G2 Users Rate DocuPipe? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) - **Custom Extension:** 10.0/10 (Category avg: 8.1/10) - **Compositionality:** 10.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind DocuPipe? - **Seller:** [DocuPipe](https://www.g2.com/sellers/docupipe) - **Company Website:** www.docupanda.io - **Year Founded:** 2023 - **HQ Location:** New York City, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1cf92a91d0cfbad5b1eb9bc2ca6c9fb3eda4123e1284efbf0db99f5aeb14a0ab&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdocupanda%2F&secure%5Burl_type%5D=linkedin_company_website) 5 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Accounting, Information Technology and Services - **Company Size:** 51% Small, 25% Medium #### What Do G2 Reviewers Say About DocuPipe? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of DocuPipe, facilitating quick data transcription without the need for design changes. - Users commend the **accuracy of DocuPipe's transcription** , especially for converting handwritten forms into structured data reliably. - Users rave about DocuPipe's **outstanding customer support** , providing quick, effective assistance whenever needed. - Users commend DocuPipe for its **accurate data extraction** from various forms, enhancing efficiency and reliability in processing. - Users find DocuPipe's **initial setup easy** , simplifying integration and enhancing overall user experience and efficiency. ##### Cons - Users note that the **poor interface design** of DocuPipe can hinder clarity and efficiency during document processing. - Users suggest that the **poor UI design** of DocuPipe hampers clarity and could benefit from improvements. - Users find DocuPipe to be **expensive** , especially with complex pricing and additional costs for schema errors. - Users feel that the **user interface needs improvement** , causing confusion in navigation despite recent enhancements. - Users face a **difficult learning curve** with DocuPipe, requiring time and credits to navigate effectively. #### What Are Recent G2 Reviews of DocuPipe? **["Powerful AI Extraction with an Easy-to-Edit Schema and Responsive Support"](https://www.g2.com/survey_responses/docupipe-review-13048236)** **Rating:** 5.0/5.0 stars _— Verified User in Oil & Energy_ [Read full review](https://www.g2.com/survey_responses/docupipe-review-13048236) **["Straightforward API Integration and Flexible Schema-Based Document Workflows"](https://www.g2.com/survey_responses/docupipe-review-13087649)** **Rating:** 4.5/5.0 stars _— Rio E._ [Read full review](https://www.g2.com/survey_responses/docupipe-review-13087649) ### [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk. Build a ModelOps practice that synchronizes application and model pipelines to operationalize responsible, explainable AI across your enterprise. As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open source frameworks, and a robust technology ecosystem. It unites teams and empowers businesses to build the modern information architecture that AI requires and infuse it across the organization. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It enables organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It's suited for hybrid multicloud environments that demand mission-critical performance, security, and governance. Features include: • AutoAI that eliminates time-consuming, repetitive tasks by automating data preparation, model development, feature engineering and hyperparameter optimization. • Text Analytics for uncovering insights from unstructured data • Drag-and-drop visual model-building with SPSS Modeler • Broad data access – flat files, spreadsheets, major relational databases • Sophisticated graphics engine for building stunning visualizations • Support for Python 3 Notebooks Watson Studio is available via several deployment options: • IBM Cloud Pak for Data – An open, extensible data and AI platform that runs on any cloud • IBM Cloud Pak for Data System – A hybrid cloud, on-premises platform-in-a-box • IBM Cloud Pak for Data as a Service – A set of IBM Cloud Pak for Data platform services fully managed on the IBM Cloud **Average Rating:** 4.2/5.0 **Total Reviews:** 163 #### How Do G2 Users Rate IBM Watson Studio? - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.1/10 (Category avg: 8.1/10) - **Compositionality:** 9.2/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind IBM Watson Studio? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® - **Ownership:** SWX:IBM #### Who Uses This Product? - **Who Uses This:** Software Engineer, CEO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 49% Large, 31% Small #### What Do G2 Reviewers Say About IBM Watson Studio? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **Auto AI capability** of IBM Watson Studio, which automates tasks and enhances data science efficiency. - Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work and enhancing productivity. - Users value the **ease of use** of IBM Watson Studio, enabling quick project initiation and seamless collaboration. - Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work in data preprocessing. - Users find the **easy AI integration** of IBM Watson Studio transformative, enhancing their data science and ML workflows significantly. ##### Cons - Users find the **expensive pricing** of IBM Watson Studio to be a significant barrier, especially for individuals and startups. - Users find the **steep learning curve** of IBM Watson Studio challenging, especially for beginners navigating complex features. - Users face a **steep learning curve** with IBM Watson Studio, making it challenging for beginners to navigate the complex features. - Users find the **complex interface** of IBM Watson Studio challenging, especially for beginners navigating its features. - Users find the **steep learning curve** of IBM Watson Studio challenging, particularly due to its complex interface. #### What Are Recent G2 Reviews of IBM Watson Studio? **["An all-in-one platform useful for data analysis and AI"](https://www.g2.com/survey_responses/ibm-watson-studio-review-13090033)** **Rating:** 4.5/5.0 stars _— Miguel P._ [Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-13090033) **["Robust Platform for Seamless Data Science Collaboration"](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951)** **Rating:** 4.5/5.0 stars _— Naimish M._ [Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951) #### What Are G2 Users Discussing About IBM Watson Studio? - [What is IBM Watson Studio used for?](https://www.g2.com/discussions/what-is-ibm-watson-studio-used-for) - 1 upvote - [What are the main benefits of using AutoAI in IBM Watson Studio?](https://www.g2.com/discussions/what-are-the-main-benefits-of-using-autoai-in-ibm-watson-studio) - [Is IBM Watson Studio free?](https://www.g2.com/discussions/is-ibm-watson-studio-free) - [How do I use IBM Watson Studio?](https://www.g2.com/discussions/how-do-i-use-ibm-watson-studio) - [What does IBM Watson Studio do?](https://www.g2.com/discussions/what-does-ibm-watson-studio-do) ### [ATLAS.ti](https://www.g2.com/products/atlas-ti/reviews) Leveraged by brands and academics alike, ATLAS.ti allows anyone to analyze data and uncover valuable insights – no matter which sector you work in. From basic analysis tasks to the most in-depth research projects: With ATLAS.ti, you can easily unlock actionable findings from your qualitative and mixed methods data with intuitive research tools and best-in-class technology: • Get access to native Mac and Win apps, plus our Web version • All features and tools included in one complete software package • Save time and find insights automatically, powered by AI • Experience seamless project exchange between versions • Take advantage of real-time collaboration for teams • Share multi-user licenses with as many people as you want • Benefit from our free live support and expert training Learn more here: www.atlasti.com **Average Rating:** 4.7/5.0 **Total Reviews:** 58 #### How Do G2 Users Rate ATLAS.ti? - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10) - **Custom Extension:** 7.9/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.9/10 (Category avg: 8.3/10) #### Who Is the Company Behind ATLAS.ti? - **Seller:** [ATLAS.ti Scientific Software Development GmbH](https://www.g2.com/sellers/atlas-ti-scientific-software-development-gmbh) - **Year Founded:** 1993 - **HQ Location:** Berlin - **Twitter:** @ATLASti 4,192 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3ae1f4055f19b2500e25437f3d89495726e4358681bca5c46dc3aad33e37e866&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5363207%2F&secure%5Burl_type%5D=linkedin_company_website) 50 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Higher Education, Research - **Company Size:** 38% Small, 33% Medium #### What Do G2 Reviewers Say About ATLAS.ti? _AI-generated summary from verified user reviews_ ##### Pros - Users find ATLAS.ti's **ease of use** exceptional, enhancing their ability to analyze qualitative data effortlessly. - Users value the **effective categorization capabilities** of ATLAS.ti, enhancing qualitative data analysis for research purposes. - Users find ATLAS.ti to be highly **efficient** , significantly saving time while enhancing qualitative data analysis. - Users find Atlas.ti to be **intuitive** , easily navigating its interface thanks to helpful resources and support. - Users love the **time-saving capabilities** of ATLAS.ti, streamlining coding and analysis processes effectively. ##### Cons - Users report experiencing **data inaccuracy** issues, yet find solace in the responsive support from the team. - Users experience **system errors with large datasets** , but appreciate the helpful support team for assistance. - Users request more **language support and tutorials** , particularly in Spanish, to enhance their experience with ATLAS.ti. #### What Are Recent G2 Reviews of ATLAS.ti? **["For a beginner like myself ...."](https://www.g2.com/survey_responses/atlas-ti-review-10228427)** **Rating:** 5.0/5.0 stars _— zhengping l._ [Read full review](https://www.g2.com/survey_responses/atlas-ti-review-10228427) **["Flexible Coding That Fits Your Workflow"](https://www.g2.com/survey_responses/atlas-ti-review-12744241)** **Rating:** 5.0/5.0 stars _— Verified User in Retail_ [Read full review](https://www.g2.com/survey_responses/atlas-ti-review-12744241) - ‹ Prev‹ Prev - 1 - [2](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=2#product-list) - [3](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=3#product-list) - [4](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=4#product-list) - [5](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=5#product-list) - … - [12](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=12#product-list) - [13](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=13#product-list) - [Next ›Next ›](/categories/text-analysis?open_modal_url=%2Fproducts%2Finmoment-text-analytics%2Fwishlists%3Fhost_path%3D%252Fcategories%252Ftext-analysis%26source%3Dcategory&order=g2_score&page=2#product-list) Spotlight Categories [Lead Intelligence Software](https://www.g2.com/categories/lead-intelligence) [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) [Pricing Software](https://www.g2.com/categories/pricing) [Restaurant POS Systems](https://www.g2.com/categories/restaurant-pos) [Relational Databases](https://www.g2.com/categories/relational-databases) Similar Categories - [Agentic Analytics](/categories/agentic-analytics) - [AI Search and Discovery Platforms](/categories/ai-search-and-discovery-platforms) - [Analytics Platforms](/categories/analytics-platforms) - [Business Intelligence](/categories/business-intelligence) - [Data Virtualization](/categories/data-virtualization) - [Drone Analytics](/categories/drone-analytics) - [Enterprise Search Software](/categories/enterprise-search-software) - [Graph Visualization Tools](/categories/graph-visualization-tools) - [Insight Engines](/categories/insight-engines) - [Other Analytics](/categories/other-analytics) - [Predictive Analytics](/categories/predictive-analytics) - [Site Search Software](/categories/site-search-software) - [Statistical Analysis](/categories/statistical-analysis) - [Time Series Intelligence](/categories/time-series-intelligence) - [Visitor Behavior Intelligence](/categories/visitor-behavior-intelligence) [Browse Text Analysis Themes](/categories/text-analysis/themes) ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry") BB Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Updated October 3, 2024 Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage [NLP](https://www.g2.com/categories/natural-language-processing-nlp) and [machine learning](https://www.g2.com/categories/machine-learning) to pull out different insights and provide visual representations of the data for easier interpretation. Text analysis tools can consume text data from a variety of sources, including emails, phone transcripts, surveys, customer reviews, and other documents. By importing text data from these different sources, businesses are better equipped to understand and analyze customer or employee sentiment, intelligently classify documents, and improve written content. Text analysis software may be used in conjunction with other analytics tools, including [big data analytics](https://www.g2.com/categories/big-data-analytics) and [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms). To qualify for the Text Analysis category, a product must: - Import text data from a variety of different data sources - Use natural language processing to extract insights from the text, including key phrases, language, sentiment, and other patterns - Provide visualizations for text data Show More * * * ## How Do You Choose the Right Text Analysis Software? ### What You Should Know About Text Analysis Software ### What is Text Analysis Software? Text analysis software helps businesses analyze their text data using natural language understanding, which is a subset of natural language processing. Because of the unstructured nature of text data, these analytics solutions take text as an input and provide some form of labels, tags, or insights as an input. In the age of digital transformation, businesses are embracing the need to understand company data like never before.  Text analysis software, also known as text mining software or text analytics software, has become an important tool for nearly every business over the past decade. A more recent aspect of analytics and business intelligence is the need to understand not just structured data, but unstructured data as well. Unstructured data, such as text data, can be mined for meaning to inform business decisions.  Text mining initiatives can help businesses ultimately better understand textual data sets. Being able to pull out actionable insights from numerical data housed in [ERP](https://www.g2.com/categories/erp) systems, [CRM software](https://www.g2.com/categories/crm), or [accounting software](https://www.g2.com/categories/accounting) is one thing, but being able to gain insights from unstructured data sources is invaluable. Without dedicated software for this task, businesses must either spend significant time and resources on building natural language understanding models or haphazardly investigating the data. #### What Types of Text Analysis Software Exist? Many types of text analysis solutions share overlapping functionality, while simultaneously catering to different user personas like data analysts and financial analysts, or providing unique services. Some solutions may offer self-service features so that the average employee can assemble their charts and graphs from big data sets. Others, however, require more significant support from IT or data analysts. **Self-service text analysis tools** Self-service text analysis tools do not require coding knowledge, so end users with limited to no coding knowledge can take advantage of them for data needs. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. Self-service solutions often provide drag-and-drop functionality for tagging text, prebuilt templates for querying data, and other tools for data discovery. Similar to [analytics platforms](https://www.g2.com/categories/analytics-platforms), organizations use these tools to build interactive dashboards for discovering actionable insights. For example, a customer service business leader might use this type of software to analyze thousands of customer emails to discover trends, such as sentiment and the choice of words they used. This analysis can inform how customer service agents respond to customers to achieve desired outcomes. **Traditional text analysis tools** As opposed to self-service options, some text analysis solutions are geared towards data professionals, such as data analysts and data scientists. They can use this software to train and deploy algorithms, as it assists them in tagging their data. Data scientists can use these tools to ingest text data, such as social media, call center transcriptions, news sources, and reviews, and to build and improve applications, achieving goals such as improving fraud detection and conducting sentiment analysis. ### What are the Common Features of Text Analysis Software? Many capabilities of text analysis software can help users pull business-critical insights from text data. **Language identification:** Text analytics solutions provide users with the ability to understand which language the text was written in. This can be beneficial when determining where a social media post came from or when a business has offices in multiple countries. **Part of speech tagging:** Once the language is identified, text analysis software can tag each word with a part of speech, signifying if the word is a noun, verb, adjective, and so on. **Syntax parsing:** Syntax parsing is very similar to part of speech tagging, but instead of understanding each word, it helps break down how a sentence was constructed and why. **Entity recognition:** Text analytics solutions can help determine not just parts of speech but actual entities. For example, the part of speech may be a noun, but text analytics will break down whether that noun is a person or a place. **Keyphrase extraction:** Another major feature of text mining and text analytics is keyphrase extraction, which allows users to determine patterns and themes within the text. These tools can pull out those common themes for the user. **Sentiment analysis:** All of the above features can be relevant for sentiment analysis. Text analysis tools can offer up sentiment analysis scores, determining if the text is positive, negative, happy, sad, or neutral, among many other classifications. With the sentiment determined, businesses can decide how they want to act or interact with this data. For example, if a software company sees that all of their negative reviews are mentioning one particular feature, it might be a good idea to examine the state or viability of that feature. ### What are the Benefits of Text Analysis Software? The reason to use text analysis software is rather straightforward—users need to analyze text—but there are many reasons behind why a business may want to perform text mining and analysis. It all boils down to better understanding and utilizing company data to impact business processes and the bottom line. It should be used to increase efficiency and productivity and to optimize processes that could be working better. **Sentiment understanding:** Businesses are always trying to gauge customer satisfaction, and text analytics is an easy way to do so. Many different text data sources can provide customer sentiments, such as social media, emails from customers, phone transcripts, customer reviews, and others. If a company can understand their shortcomings or where they are excelling with customers, they can better support and manage those customers. Ultimately this can lead to increased revenue. **Employee satisfaction:** Similarly to better understanding customers, businesses can improve employee engagement and satisfaction by using text analysis. While businesses shouldn’t necessarily spy on their employees, they can figure out employee sentiment and satisfaction based on surveys, emails, or phone transcripts. This can help businesses ensure that they are promoting the right company culture and providing a healthy and happy place to work. **Survey analysis:** Text analysis is very often used when companies are running surveys. These surveys may be intended for customers or employees but can also relate to market research. Being able to quickly pull insights verbatim from survey responses can provide a unique perspective and insight that businesses may not be able to obtain through multiple-choice questions. **Document classification:** An easy use case for text analysis software is document classification. Businesses often need to organize existing documents; by pulling out sentiment and themes, it can be much easier to bucket documents, such as invoices and contracts. ### Who Uses Text Analysis Software? The typical user of text analytics is the same person who is tasked with using analytics and business intelligence solutions—a data analyst or data scientist. These users are trained in developing analytical and machine learning models used to pull out actionable insights from data. Data scientists are also tasked with deriving a business narrative from data, and text data is no different. If the text analytics product is of the self-service variety, less technical business users, such as operations, customer service, and finance teams can benefit from the technology to dig into their text data and derive insights.  **Data analysts:** Depending on the complexity of the software, analysts may be required. They can help set up the requisite tagging of the text data and dashboards for other employees and teams. They can create complex queries inside the platforms to gather a deeper understanding of business-critical data.  **Operations and supply chain teams:** A company’s supply chain frequently has many touchpoints, and as a result, many data points. Everything from invoices to shipping information can be analyzed with this software. Therefore, employees working in operations and supply chain teams can use text analysis software to gain a better understanding of their departments and the text data that is generated, such as from [ERP systems](https://www.g2.com/categories/erp). These applications track everything from accounting to supply chain and distribution. By inputting supply chain data into this software, supply chain managers can optimize several processes to save time and resources. **Finance teams:** Finance teams leverage text analysis software to gain insight and understanding into the factors that impact an organization's bottom line. Through integrations with financial systems such as [accounting software](https://www.g2.com/categories/accounting), employees such as chief financial officers (CFOs) can see how well the business is performing. For example, they can analyze free-text data in expense reports to discover trends in the data. With this knowledge, they can determine the biggest spenders and spending categories and put a plan in place to curb spending, if desired. **Sales and marketing teams:** Sales teams also seek to improve financial metrics and can benefit tremendously from being more data driven. They can obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. Through the analysis of survey data, business leaders can find out the most effective way to sell products. For marketing teams, tracking the performance of campaigns is key. Since they run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns, these tools allow marketing teams to track the performance of those campaigns in one central location. Marketers can learn about how their audience is responding to their messages using sentiment analysis. In addition, they can evaluate their ad copy by tagging and classifying it to better understand what drives conversions. **Consultants:** Businesses do not always have the luxury to build, develop, and optimize their analytics solutions. Some businesses opt to employ external consultants, such as [business intelligence (BI) consulting providers](https://www.g2.com/categories/business-intelligence-bi-consulting). These providers seek to understand a business and its goals, interpret data, and offer advice to ensure goals are met. BI consultants frequently have industry-specific knowledge alongside their technical backgrounds, with experience in healthcare, business, and other fields.  **Customer service teams:** Customer service teams are faced with a challenge. They are frequently inundated with a flurry of customer concerns, whether that be via text, voice, or mail. Although agents can respond to each comment and concern individually, it is beneficial to have a proper understanding of trends, including the sentiment of messages, the types of complaints, and more. Using text analysis software, businesses can equip their agents with tools to help them respond to messages in a targeted manner, depending on factors such as sentiment and key phrases. ### What are the Alternatives to Text Analysis Software? Alternatives to text analysis software can replace this type of software, either partially or completely: [Feedback analytics software](https://www.g2.com/categories/feedback-analytics) **:** Text analysis software is an all-purpose solution built to analyze any text data. Businesses looking to focus on feedback text, such as from surveys, review sites, social media, and customer service tools, can leverage feedback analytics software to achieve this goal. This software enables businesses to consolidate and analyze their customer feedback within a single platform. #### Software Related to Text Analysis Software Related solutions that can be used together with text analysis software include: [Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Most companies have a large number of disparate data sources, so to best integrate all their data, they implement a data warehouse. Data warehouses can house data from multiple databases and business applications, which allows BI and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software. [Data preparation software](https://www.g2.com/categories/data-preparation) **:** A key software necessary for easy data analysis is a data preparation tool and other related data management tools. These solutions allow users to discover, combine, clean and enrich data for simple analysis. Data preparation tools are often used by IT teams or data analysts tasked with using text analysis tools. Some text analysis platforms offer data preparation features, but businesses with a wide range of data sources often opt for a dedicated preparation tool. [Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Analytics platforms might include some limited text analysis features, but are broader-focused tools that facilitate the following five elements: data preparation, data modeling, data blending, data visualization, and insights delivery. [Stream analytics software](https://www.g2.com/categories/stream-analytics) **:** When one is looking for tools specifically geared toward analyzing data in real time, stream analytics software is a go-to solution. These tools help users analyze data in transfer through APIs, between applications, and more. This software can be helpful with the internet of things (IoT) data, which people usually want to analyze in real time. [Predictive analytics software](https://www.g2.com/categories/predictive-analytics): Broad-purpose text analysis software allows businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Businesses that are focused on looking at their past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  ### Challenges with Text Analysis Software Software solutions can come with their own set of challenges.  **Need for skilled employees:** The main issue with text analysis software is that, despite the tool pulling information surrounding text data, it still requires a human to go that extra mile and determine what the data means. Without context, sentiment analysis, phrase tagging, and pulling themes or patterns from a text can only inform a user so much. An analyst will need to interpret that data and decipher the business implications of it.  This is much more easily tackled with text analysis software because of the ability to visualize the data in an organized manner, but it still requires interpretation nonetheless. Some text analytics tools may offer a certain level of predictive analytics and provide users with suggestions or recommendations based on the data, but more often than not, human intervention is necessary. **Data preparation:** Another potential concern is preparing the data to be ingested by the text analysis tool. The data needs to be stored properly, whether that is in a database or data warehouse and may require IT or a dedicated admin to ensure the text analytics tool can consume the data. The beauty of text analysis software is that it doesn’t always require the neatness of structured data. Unstructured data does not need to follow a columnar approach that structured data often requires. **User adoption:** It is not always easy to transform a business into a data-driven company. Particularly at more established companies that have done things the same way for years, it is not simple to force analytics tools upon employees, especially if there are ways for them to avoid it. If there are other options, such as spreadsheets or existing tools that employees can use instead of analytics software, they will most likely go that route. However, if managers and leaders ensure that analytics tools are a necessity in an employee’s day to day, then adoption rates will increase. ### Which Companies Should Buy Text Analysis Software? As it has often been said, data is the fuel that drives modern businesses. Although it is cliche, it no doubt has truth to it. Therefore, businesses across the globe and industries should consider some sort of analytics solution, such as text analysis to make sense of that data and begin to make data-driven decisions. Here are some illustrative examples of how textual analysis can be used in several industries: **Financial services:** Within financial institutions, such as insurance brokerages, banks, and credit unions, it is common for a host of different systems to be used. These companies have data ranging from customer records, to transactions, to market data, and more. With the proliferation of systems comes more data. With a robust analytics solution in place, they can get a better understanding of the data that is being produced from the various systems across the business. As an industry that is heavily regulated, users can benefit from governed access capabilities which can be particularly beneficial, since it can assist in auditing company processes. **Healthcare:** Within the space of healthcare, bad data practices might have dire or even deadly consequences. Text analysis software can help these organizations with having an overarching view of their data, such as patient records, insurance claims, finances, and more. Through the implementation of analytics, healthcare companies can lower risk and costs, and make their billing and collections smarter. **Retail** : Retail organizations, whether they’re B2C, B2B, D2C, or others, rely on data to make informed decisions. For example, a seller of printers, to run a successful business, must keep track of many things such as their inventory, sales, their sales team, and returns. If all of this data is kept siloed within different systems, there is no single source of truth and departments cannot have a conversation around the actual state of the business’ data. With Text analysis software set up and connected to all of the relevant data sources, any retail business can see benefits and make meaningful data-driven decisions. ### How to Buy Text Analysis Software #### Requirements Gathering (RFI/RFP) for Text Analysis Software If a company is just starting out on its analytics journey, G2.com can help in selecting the best software for the particular company and use case. Since the particular solution might vary based on company size and industry, G2.com is a great place to sort and filter reviews based on these criteria, along with many more. The variety, volume, and velocity of data are vast. Therefore, users should think about how the particular solution fits their particular needs and their future needs as they accumulate more data.  To find the right solution, buyers should determine pain points and jot them down. These should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from a text analysis software. #### Compare Text Analysis Software Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow down the list and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and data sets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of Text Analysis Software **Choose a selection team** As text analysis software is all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare notes, facts, and figures which they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page, does not mean it is not negotiable (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board. ### What Does Text Analysis Software Cost? Businesses decide to deploy text analysis software to derive some degree of a return on investment (ROI). #### Return on Investment (ROI) As businesses look to recoup the funds they spent on the software, it is critical to understand the costs associated with it. As mentioned above, this software is typically billed per user, which is sometimes tiered depending on the company size. More users will typically translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate their gains from their use of the text analysis software. ### Implementation of Text Analysis Software **How is Text Analysis Software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether it’s an implementation specialist from the vendor or a third-party consultancy. With vast experience, they can help businesses understand how to connect and consolidate their data sources and how to use the software efficiently and effectively. **Who is Responsible for Text Analysis Software Implementation?** It may require a lot of people, or even teams, to properly deploy an analytics platform. This is because data can cut across teams and functions. As a result, one person or even one team rarely has a full understanding of all of a company’s data assets. With a cross-functional team in place, a business can piece together its data and begin the journey of analytics, starting with proper data preparation and management. ### Text Analysis Software Trends **Data literacy** Business data is no longer locked up in silos. With text analysis solutions, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) software](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data easier and more powerful, providing more accurate results. Implementing analytics software has been a major initiative for companies undergoing digital transformation as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large data sets collected from all their various sources. **Shift to the cloud** The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons like time to insights. The move away from on-premises infrastructure has helped many companies enable data to work anywhere one has access to the cloud—anywhere with internet access.  **Deep learning** The main trend related to text analysis software is deep learning, but more specifically, natural language processing. As AI technology continues to advance, deep learning and NLP become more precise and effective when performing actions such as text analysis. This means that users need to do less digging through text, and instead, the insights are given to them. This is extremely beneficial, because, despite the comprehensive features that text analysis software provides, analysts are still required to dig through the data and determine the insights themselves. The next step, which NLP is contributing to, is to have the software provide actionable insights without the need to dig through the text data.