# Best Text Analysis Software - Page 4 ## How Many Text Analysis Software Products Does G2 Track? **Total Products under this Category:** 191 ### Category Stats (Aug 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: August 01, 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=21472&focus%5B%5D=19895&focus%5B%5D=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=104578) Highlighted products: SAS Viya, Amazon Comprehend, Google Cloud Natural Language API, Chattermill, 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=google-cloud-natural-language-api&focus%5B%5D=chattermill&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_llm&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-08-02T13%3A35%3A14Z&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%3Fcountry%3D83%26page%3D4&secure%5Btoken%5D=b5d9910a38c2317bfac9619eb5c5aa82b62eda0ef8af2306ea24fd862161312a&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) ### [Semantria](https://www.g2.com/products/semantria/reviews) Semantria is a flexible cloud-based text analytics and natural language processing API that adds Sentiment Analysis, Entity Recognition, Categorization, Theme Analysis, Intention Detection and Summarization capabilities to your enterprise business intelligence infrastructure or to your own data analytics product. **Average Rating:** 4.4/5.0 **Total Reviews:** 8 #### How Do G2 Users Rate Semantria? - **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 9.0/10) - **Custom Extension:** 7.9/10 (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 Semantria? - **Seller:** [Lexalytics](https://www.g2.com/sellers/lexalytics) - **Year Founded:** 2003 - **HQ Location:** Boston, MA - **Twitter:** @lexalytics 15,974 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b315d3ef6f4ca35d66eac436c453478d7fb283ac1c76f6d21965ff8259c3955a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flexalytics%2F&secure%5Burl_type%5D=linkedin_company_website) 17 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Small, 25% Large #### What Do G2 Reviewers Say About Semantria? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **transformative AI technology** of Semantria, enhancing decision-making through insightful text data analysis. - Users value the **transformative data visualization** capabilities of Semantria, enhancing their ability to make informed business decisions. - Users value the **ease of use** in Semantria, enhancing their ability to transform text data effectively. - Users appreciate the **transformative NLP capabilities** of Semantria, enhancing insights from unstructured text data for better decisions. ##### Cons - Users note that **accuracy might be an issue** , despite the overall functionality of Semantria being satisfactory. #### What Are Recent G2 Reviews of Semantria? **["Benefits of Semantria"](https://www.g2.com/survey_responses/semantria-review-8922503)** **Rating:** 5.0/5.0 stars _— Sikander S._ [Read full review](https://www.g2.com/survey_responses/semantria-review-8922503) **["Semantria - A great tool to analyze text !"](https://www.g2.com/survey_responses/semantria-review-10532092)** **Rating:** 4.5/5.0 stars _— Verified User in Information Technology and Services_ [Read full review](https://www.g2.com/survey_responses/semantria-review-10532092) #### What Are G2 Users Discussing About Semantria? - [What is Semantria used for?](https://www.g2.com/discussions/what-is-semantria-used-for) ### [Grooper](https://www.g2.com/products/grooper/reviews) Grooper is an AI-native intelligent document processing (IDP) and data integration platform that transforms unstructured content into accurate, actionable, AI-ready data. From paper documents, PDFs, and emails to handwriting, complex tables, microfilm, and decades of legacy archives, Grooper ingests, understands, and organizes it all — without relying on brittle templates or rigid rules. WHAT MAKES GROOPER DIFFERENT Grooper pairs a patented image processing and multi-engine OCR foundation with modern AI. Its LLM-powered AI Extract lets you pull data from documents simply by describing the fields you need in natural language — no coding, no thousands of training samples. Natural language processing and machine learning interpret data in context: Grooper doesn't just find text, it understands what that text means, whether it's a pooling clause buried in an oil and gas lease, a line item on a handwritten claim, or a course grade on a 40-year-old transcript. Unlike black-box tools, Grooper is transparent by design. Every step of processing is visible and tunable, with human-in-the-loop review, confidence thresholds, and exception queues built in — so teams can trust, audit, and continuously improve their automation. PROVEN RESULTS • The U.S. Nuclear Regulatory Commission used Grooper to integrate data from 50+ million pages of records in under two years — after a prior vendor's legacy approach failed over five years. • A national healthcare data processor accelerated EOB claims processing nearly 6x, from 16 to 93 claims per hour per employee. • A healthcare AP department cut manual invoice data entry staffing from 75 to 14 (an 81% efficiency gain), with 62% of direct invoices now processed with zero human touch across 3,000+ suppliers. • Oklahoma State University went from indexing 1 transcript in 12 minutes to 50 in the same time, with full ROI in under six months. • American Airlines Credit Union saves 3,000+ hours annually and used Grooper to locate PCI data across roughly one billion stored pages. • An oil and gas operator achieves up to 99% extraction accuracy on complex lease documents with minimal to no training. CORE CAPABILITIES • Capture from any source: scanners, email, network folders, web, and legacy systems — including direct, in-place processing of content in SharePoint, Box, file shares, FTP, email servers, and any CMIS-compatible ECM (no extraction required) • Multi-engine OCR with patented image cleanup, font pitch detection, and handwriting (ICR) recognition • AI-powered classification and document separation — including high-accuracy classification with zero training samples • LLM-based extraction (AI Extract) plus NLP and machine-learning extractors for fields, tables, and line items • Automated redaction of PII, PCI, and other sensitive data at scale • Human-in-the-loop validation with a modern web client for review and correction • Flexible export to databases, content platforms, ERPs, and downstream AI/RAG pipelines DEPLOYMENT AND TRUST Grooper deploys on-premises, in private cloud, or in the cloud — your data can stay entirely within your infrastructure, a critical requirement for government, healthcare, and financial customers. Licensing is based on page volume rather than hardware, so processing can scale elastically across available machines without added license cost. Grooper is developed and supported 100% in the USA by BIS, a company with 35+ years of continuous experience in document and data technology, with support delivered from its Oklahoma headquarters. WHO USES GROOPER Organizations across government, healthcare, financial services and credit unions, oil and gas, legal, and higher education use Grooper to solve the document problems legacy systems can't handle: extracting handwritten data from forms, interpreting medical charts and EOBs, processing land and lease records, automating transcript and loan processing, redacting sensitive data at scale, and structuring decades of archival content into searchable, AI-ready knowledge. The platform is fully extensible, with no-code and low-code tools that empower both business users and developers. It integrates directly with content management systems, databases, cloud platforms, and AI models — enabling end-to-end transformation from raw content to refined insight, and feeding downstream automation, analytics, and AI assistants with clean, trustworthy data. Whether you're modernizing outdated workflows, driving operational efficiency, or fueling next-generation AI with better data, Grooper is the foundation that makes it possible. Any document. Any data. Any destination. **Average Rating:** 4.6/5.0 **Total Reviews:** 20 #### How Do G2 Users Rate Grooper? - **Has the product been a good partner in doing business?:** 9.8/10 (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 Grooper? - **Seller:** [BIS](https://www.g2.com/sellers/bis-5b222554-cb2b-410f-8506-61ed94b1bda1) - **Year Founded:** 1986 - **HQ Location:** Edmond, OK - **Twitter:** @BIS\_Tweets 351 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ff8330a163d76d40f7f459668044bd4c01f10a8261a5fb08c5cefe9c27608246&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgrooper%2F&secure%5Burl_type%5D=linkedin_company_website) 4 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 43% Small, 33% Large #### What Do G2 Reviewers Say About Grooper? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **knowledgeable customer support** of Grooper, which effectively resolves major issues and enhances user experience. - Users highlight the **ease of use** of Grooper, enhancing efficiency in document management and information retrieval. - Users praise the **implementation ease** of Grooper, appreciating its seamless deployment and user-friendly experience. - Users value the **easy setup** of Grooper, finding it simple to deploy and start using effectively. - Users commend Grooper for its **efficiency improvement** , streamlining information retrieval and reducing workloads effectively. ##### Cons - Users experience significant **compatibility issues** with Grooper, especially regarding the cloud-based model versus thick-client preferences. - Users express concerns about the **high licensing cost** of Grooper, finding it challenging for new users to justify. - Users find a **steep learning curve** with Grooper, as the data processing methods can be non-intuitive for newcomers. - Users note a significant **learning difficulty** with Grooper, as the data extraction process can be quite unintuitive. - Users find Grooper to have a **steep learning curve** and a non-intuitive process for data extraction and processing. #### What Are Recent G2 Reviews of Grooper? **["Grooper leverages the best Technlogies to deliver stthe strongest ROIs"](https://www.g2.com/survey_responses/grooper-review-11639354)** **Rating:** 5.0/5.0 stars _— Verified User in Retail_ [Read full review](https://www.g2.com/survey_responses/grooper-review-11639354) **["Grooper, a step in the right direction."](https://www.g2.com/survey_responses/grooper-review-11290626)** **Rating:** 4.0/5.0 stars _— Verified User in Banking_ [Read full review](https://www.g2.com/survey_responses/grooper-review-11290626) #### What Are G2 Users Discussing About Grooper? - [What is Grooper used for?](https://www.g2.com/discussions/what-is-grooper-used-for) ### [Clootrack](https://www.g2.com/products/clootrack/reviews) Clootrack is an AI Super Agent that turns Voice of the Customer data into measurable business outcomes. It enables CX, product, consumer insights, marketing, and strategy teams to move from fragmented customer signals to clear, evidence-backed decisions. As survey response rates decline and feedback spreads across channels, Clootrack unifies first-party and third-party customer data into a single system. The platform analyzes 100% of customer interactions, including reviews, surveys, contact-center conversations, chat, and digital feedback, without relying on surveys alone. This delivers a complete and unbiased view of customer experience across journeys. Clootrack’s patented unsupervised thematic analysis surfaces hidden themes and experience drivers at scale without manual tagging. Goal-specific AI agents align insights directly to business KPIs to operationalize insights across outcomes such as NPS, churn, returns, product innovation speed, research efficiency, and contact-center performance. A reasoning layer explains what changed, why it changed, and where teams should act, with evidence. AI Decision Digest summarizes what matters, why it happened, and what to do next, with full traceability to source data. Organizations using Clootrack have reported: - 14–18% improvement in NPS - 9–18% reduction in e-commerce returns - Up to 35% reduction in churn - 3× faster product insights - 14× faster research execution - 10–15% reduction in contact-center AHT Clootrack delivers 98%+ analysis accuracy, supports 55+ languages, integrates with 1,000+ enterprise data sources, and is trusted by 150+ global enterprises across retail, SaaS, banking, healthcare, consulting, and private equity. The platform has processed 100+ billion customer feedback tokens using OpenAI infrastructure for real-world Voice of the Customer workloads. **Average Rating:** 4.6/5.0 **Total Reviews:** 38 #### How Do G2 Users Rate Clootrack? - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.0/10) - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 6.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 4.2/10 (Category avg: 8.3/10) #### Who Is the Company Behind Clootrack? - **Seller:** [Clootrack](https://www.g2.com/sellers/clootrack) - **Year Founded:** 2017 - **HQ Location:** Claymont, Delaware - **Twitter:** @clootrack 1,362 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6f73f7dacaaf24e28162bde161d9b6a724594271bbc3e4ea419dd86245bb0d82&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F13342066%2F&secure%5Burl_type%5D=linkedin_company_website) 84 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Automotive, Management Consulting - **Company Size:** 50% Large, 30% Small #### What Do G2 Reviewers Say About Clootrack? _AI-generated summary from verified user reviews_ ##### Pros - Users commend Clootrack for its **advanced analytics capabilities** , transforming data into meaningful insights and trends. - Users value Clootrack's **flexible data analysis** , enabling custom insights and enhanced understanding of customer sentiment. - Users praise Clootrack for its **efficiency** in providing accurate insights that enhance decision-making processes. - Users appreciate the **helpful support team** at Clootrack, consistently eager to assist and provide customized solutions. - Users highlight the **flexible insights analysis** of Clootrack, enhancing data collations and improving reporting quality significantly. ##### Cons - Users find **dashboard readability issues** due to excessive detail, complicating their ability to meet tight deadlines. - Users experience significant **delay issues** with Clootrack, impacting timely insights and potential problem resolution. - Users note that some **visualization dashboards lack clarity** and suggest improvements for better customization and data export. - Users note the need for **improved AI tools** as current insights can be inaccurate for effective analysis. - Users note potential improvements in **AI tools for insights** , seeking better customization and export options for data analysis. #### What Are Recent G2 Reviews of Clootrack? **["Vital insight on customer behaviour and preferences useful for any brand or category"](https://www.g2.com/survey_responses/clootrack-review-10642395)** **Rating:** 4.5/5.0 stars _— Verified User in Consulting_ [Read full review](https://www.g2.com/survey_responses/clootrack-review-10642395) **["Great software and a great team"](https://www.g2.com/survey_responses/clootrack-review-10363573)** **Rating:** 4.5/5.0 stars _— Verified User in Hospital & Health Care_ [Read full review](https://www.g2.com/survey_responses/clootrack-review-10363573) #### What Are G2 Users Discussing About Clootrack? - [What is Clootrack used for?](https://www.g2.com/discussions/what-is-clootrack-used-for) ### [Evolution AI](https://www.g2.com/products/evolution-ai/reviews) Evolution AI is a multiple award-winning AI data extraction software. By combining computer vision and natural language processing (NLP), our AI models are able to understand and interpret any type of document with unprecedented accuracy. Our technology sets a new standard for automated data extraction: human-like accuracy without laborious configuration and setup. Simply upload documents and the system extracts the relevant information, putting structured data at your fingertips. Seamless integrations with downstream systems make it easy to transform business processes while saving both money and time. WINNER - Credit Strategy's Lending Awards, 'Best Technology Partner', 2023. WINNER - Wealth & Finance's 'Leading Innovators in Data Extraction - Europe', 2021. **Average Rating:** 4.3/5.0 **Total Reviews:** 6 #### How Do G2 Users Rate Evolution AI? - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.2/10 (Category avg: 8.3/10) #### Who Is the Company Behind Evolution AI? - **Seller:** [Evolution Artificial Intelligence Ltd](https://www.g2.com/sellers/evolution-artificial-intelligence-ltd) - **Year Founded:** 2015 - **HQ Location:** London, GB - **Twitter:** @EvolutionAI 420 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8c1f27af2e22cc351fae9cf1936e21edc2f55ef64799c2988b47e6d7ee28b0ba&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fevolution-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 11 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Small, 33% Large #### What Are Recent G2 Reviews of Evolution AI? **["Evolution AI review"](https://www.g2.com/survey_responses/evolution-ai-review-8285230)** **Rating:** 4.0/5.0 stars _— AMBATI S._ [Read full review](https://www.g2.com/survey_responses/evolution-ai-review-8285230) **["Modern Way to Extract Data"](https://www.g2.com/survey_responses/evolution-ai-review-8290077)** **Rating:** 4.0/5.0 stars _— Prakhar M._ [Read full review](https://www.g2.com/survey_responses/evolution-ai-review-8290077) ### [Yabble](https://www.g2.com/products/yabble/reviews) Effortless insights are as easy as 1, 2, 3, Yabble. From revolutionary Virtual Audiences that give you insights in minutes, to a suite of AI tools that allow you to analyze your data 1000x faster than a human – Yabble is the leading AI solution for every stage of research. Built with a combination of custom algorithms, tens of thousands of hours of training and world-class Large Language Models – Yabble is trusted by leading brands globally. For answers to this, that, and everything. Yabble it. **Average Rating:** 4.6/5.0 **Total Reviews:** 11 #### How Do G2 Users Rate Yabble? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) #### Who Is the Company Behind Yabble? - **Seller:** [Yabble](https://www.g2.com/sellers/yabble) - **Year Founded:** 2013 - **HQ Location:** Auckland, NZ - **Twitter:** @YabbleAI 67 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c8d1fc7582599e97496178694665ce503dcb4234d42477c86ec959f1c3834e83&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18156056&secure%5Burl_type%5D=linkedin_company_website) 26 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 55% Small, 36% Medium #### What Are Recent G2 Reviews of Yabble? **["Great results! And so much faster!"](https://www.g2.com/survey_responses/yabble-review-7979262)** **Rating:** 4.5/5.0 stars _— Gregg A._ [Read full review](https://www.g2.com/survey_responses/yabble-review-7979262) **["Useful AI Insights"](https://www.g2.com/survey_responses/yabble-review-8581743)** **Rating:** 4.5/5.0 stars _— Eder S._ [Read full review](https://www.g2.com/survey_responses/yabble-review-8581743) ### [Graze.ai](https://www.g2.com/products/graze-ai/reviews) Graze.ai uses Large Language Models to research and uncover hard-to-find signals. Find signals like: Companies working with your competitors Fintech CMOs exhibiting at a conference Companies that has a 2-day remote schedule Companies that offers mental health benefits Pharmaceutical trials taking place in a hotel **Average Rating:** 4.8/5.0 **Total Reviews:** 11 #### Who Is the Company Behind Graze.ai? - **Seller:** [Graze.ai](https://www.g2.com/sellers/graze-ai) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c6e11be34694ab71b2d11c2dc5a96912833733e0785cf1050b829e45b21b4989&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgrazeai%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 45% Small, 45% Large #### What Do G2 Reviewers Say About Graze.ai? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **collaboration features** of Graze.ai, enabling targeted outreach and personalized interactions with potential candidates. - Users commend Graze.ai for its **high accuracy** , delivering reliable data for event attendance and marketing strategies. - Users value the **analysis accuracy** of Graze.ai, effectively identifying top conference opportunities and potential connections. - Users love the **automation** of event selection and outreach, making marketing efforts more efficient and effective. - Users praise Graze.ai for its **high data accuracy** , effectively resolving issues with incomplete and inconsistent attendee lists. ##### Cons - Users find the **cluttered layout** of Graze.ai reminiscent of outdated design, impacting overall usability and visual appeal. - Users find the **incomplete event data** on Graze.ai to be a significant limitation in its functionality. - Users face challenges with **insufficient documentation** , leading to delays in onboarding and integration issues. - Users find that **integration issues** hinder their experience with Graze.ai, complicating the onboarding process. - Users find the **outdated data** in Graze.ai limiting as it lacks coverage for all events. #### What Are Recent G2 Reviews of Graze.ai? **["It’s essential to our growth and just works."](https://www.g2.com/survey_responses/graze-ai-review-12684236)** **Rating:** 5.0/5.0 stars _— Verified User in Human Resources_ [Read full review](https://www.g2.com/survey_responses/graze-ai-review-12684236) **["Comprehensive, Accurate Conference Data That Replaces Costly Research Firms"](https://www.g2.com/survey_responses/graze-ai-review-12667464)** **Rating:** 5.0/5.0 stars _— Verified User in Education Management_ [Read full review](https://www.g2.com/survey_responses/graze-ai-review-12667464) ### [Intellexer Preformator](https://www.g2.com/products/intellexer-preformator/reviews) Intellexer Preformator extracts plain text and information about the text layout from documents of different formats (doc, pdf, rtf, html, etc.). Also Preformator automatically determines the structure (patent, news or scientific article, review, etc.) of document and its theme (economics, law, sports, etc.). **Average Rating:** 4.6/5.0 **Total Reviews:** 5 #### How Do G2 Users Rate Intellexer Preformator? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.0/10 (Category avg: 8.1/10) - **Compositionality:** 8.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Intellexer Preformator? - **Seller:** [EffectiveSoft](https://www.g2.com/sellers/effectivesoft) - **Year Founded:** 2003 - **HQ Location:** San Diego, US - **Twitter:** @EffectiveSoft 992 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=eea0a9699ee19cbfedf3c6fe2767459f520ae05fd9e8dcd657f91f51110468f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Feffectivesoft&secure%5Burl_type%5D=linkedin_company_website) 362 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 40% Large, 40% Small #### What Do G2 Reviewers Say About Intellexer Preformator? _AI-generated summary from verified user reviews_ ##### Pros - Users find Intellexer Preformator to be very **easy to use** , seamlessly supporting various document formats and enhancing productivity. - Users value the **effective categorization** features of Intellexer Preformator, enhancing their data organization and analysis experience. - Users commend the **easy setup** of Intellexer Preformator, making it accessible even for those with limited technical skills. - Users value the **well-trained NLP capabilities** of Intellexer Preformator, which swiftly organizes unstructured texts. - Users highlight the **time-saving summarization** capabilities of Intellexer Preformator, making document analysis efficient and accessible. ##### Cons - Users find the **management of special characters** in Intellexer Preformator challenging, causing formatting issues during usage. - Users feel the **poor interface design** of Intellexer Preformator hinders usability and overall user experience. - Users often experience **poor performance** during heavy tasks, indicating a need for improvement in Intellexer Preformator. - Users find the **slow performance** of Intellexer Preformator frustrating, particularly with large batches of documents. #### What Are Recent G2 Reviews of Intellexer Preformator? **["Intellexer Preformator Review : AI - Powered Document Processor"](https://www.g2.com/survey_responses/intellexer-preformator-review-11245264)** **Rating:** 4.5/5.0 stars _— Sonal P._ [Read full review](https://www.g2.com/survey_responses/intellexer-preformator-review-11245264) **["Best language processing tool."](https://www.g2.com/survey_responses/intellexer-preformator-review-11242745)** **Rating:** 5.0/5.0 stars _— Nipun K._ [Read full review](https://www.g2.com/survey_responses/intellexer-preformator-review-11242745) ### [Otera Studio](https://www.g2.com/products/otera-studio/reviews) DeepOpinion Studio is an intelligent process automation platform for text. Our no-code Studio enables enterprise teams to seamlessly automate text-based processes with world-class accuracy in hours. Teams use it to automate processes such as customer feedback analytics, routing & prioritizing customer support tickets, customer support monitoring, CRM enrichment, requirements management, claim processing and more. **Average Rating:** 4.8/5.0 **Total Reviews:** 5 #### How Do G2 Users Rate Otera Studio? - **Compositionality:** 10.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Otera Studio? - **Seller:** [Otera Studio](https://www.g2.com/sellers/otera-studio) - **Year Founded:** 2019 - **HQ Location:** Innsbruck, Tyrol, Austria - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fa344872e9c668b6f569245fde343e3c6fa3ecf172802679d454505f0d8533d2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwe-are-otera%2F&secure%5Burl_type%5D=linkedin_company_website) 72 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 40% Medium, 20% Large #### What Are Recent G2 Reviews of Otera Studio? **["Innovative tool from innovative startup with good solutions for intelligent process automation"](https://www.g2.com/survey_responses/otera-studio-review-7931733)** **Rating:** 5.0/5.0 stars _— Verified User in Railroad Manufacture_ [Read full review](https://www.g2.com/survey_responses/otera-studio-review-7931733) **["User-friendly ML-Software for fast development"](https://www.g2.com/survey_responses/otera-studio-review-8285901)** **Rating:** 4.5/5.0 stars _— Verified User in Financial Services_ [Read full review](https://www.g2.com/survey_responses/otera-studio-review-8285901) #### What Are G2 Users Discussing About Otera Studio? - [What is DeepOpinion Studio used for?](https://www.g2.com/discussions/what-is-deepopinion-studio-used-for) ### [Provalis Research QDA Miner](https://www.g2.com/products/provalis-research-qda-miner/reviews) QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. **Average Rating:** 4.1/5.0 **Total Reviews:** 5 #### How Do G2 Users Rate Provalis Research QDA Miner? - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Provalis Research QDA Miner? - **Seller:** [Provalis Research](https://www.g2.com/sellers/provalis-research-c6b9ceed-0714-4127-8c5d-71a2b9f7ecd4) - **Year Founded:** 1989 - **HQ Location:** Montreal, CA - **Twitter:** @ProvalisRes 884 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2f61d9c6d75cda8d61a95746a852731938b4990a1c71c98347a065cc992a7ac2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprovalis-research&secure%5Burl_type%5D=linkedin_company_website) 3 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 40% Medium, 40% Small #### What Are Recent G2 Reviews of Provalis Research QDA Miner? **["A solid qualitative data analysis software"](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-5393002)** **Rating:** 4.0/5.0 stars _— Verified User in Government Administration_ [Read full review](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-5393002) **["In research, from an analyzing and organizing perspective."](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-9869898)** **Rating:** 4.0/5.0 stars _— Verified User in Research_ [Read full review](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-9869898) ### [Proxem Software](https://www.g2.com/products/proxem-software/reviews) Proxem Studio is a SaaS software suite specially designed for collecting, analysing and visualising textual data. **Average Rating:** 4.2/5.0 **Total Reviews:** 5 #### How Do G2 Users Rate Proxem Software? - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.2/10 (Category avg: 8.3/10) #### Who Is the Company Behind Proxem Software? - **Seller:** [Proxem](https://www.g2.com/sellers/proxem) - **HQ Location:** Vélizy-Villacoublay, FR - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 40% Medium, 40% Small #### What Are Recent G2 Reviews of Proxem Software? **["Excellent tool to make design of web application."](https://www.g2.com/survey_responses/proxem-software-review-8298209)** **Rating:** 5.0/5.0 stars _— ritik y._ [Read full review](https://www.g2.com/survey_responses/proxem-software-review-8298209) **["Organize And Analyze Text Data With Proxem"](https://www.g2.com/survey_responses/proxem-software-review-8526830)** **Rating:** 4.5/5.0 stars _— Rashmi S._ [Read full review](https://www.g2.com/survey_responses/proxem-software-review-8526830) ### [Semeon Analytics](https://www.g2.com/products/semeon-analytics/reviews) Semeon can help you understand and prioritize large-scale employee, customer and marketplace feedback data from anywhere like social, surveys, reviews and CRM data. Our platform automatically extracts the most relevant multi-word concepts from your data, measures sentiment and generates insightful dashboards. With unmatched analytical power, you can drill into custom data classification and multi-layered filters to get actionable KPI insights in real-time to power your CX initiatives. **Average Rating:** 4.4/5.0 **Total Reviews:** 9 #### How Do G2 Users Rate Semeon Analytics? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.8/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.8/10 (Category avg: 8.3/10) #### Who Is the Company Behind Semeon Analytics? - **Seller:** [Semeon Analytics](https://www.g2.com/sellers/semeon-analytics) - **Year Founded:** 2013 - **HQ Location:** Montreal, CA - **Twitter:** @SemeonAnalytics 460 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=18002a934c24c458741d8a358924078ccb49d0aadb0ad32de6e1c1ecc4673870&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsemeonanalytics%2F&secure%5Burl_type%5D=linkedin_company_website) 4 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Medium, 30% Large #### What Do G2 Reviewers Say About Semeon Analytics? _AI-generated summary from verified user reviews_ ##### Pros - Users love the **ease of use and deep insights** provided by Semeon Analytics for impactful decision-making. - Users appreciate the **ease of use** of Semeon Analytics, making data analysis and sentiment identification straightforward and insightful. - Users value the **affordability** of Semeon Analytics, finding it excellent for budget-friendly text analysis and insights. - Users value the **ease of use** of Semeon Analytics, effectively transforming customer experiences into actionable insights. - Users value the **AI integration** in Semeon Analytics for transforming customer experience into actionable insights effortlessly. ##### Cons - Users face **integration issues** with Semeon Analytics, hindering seamless data connection from multiple sources. - Users find the tool lacks a robust platform for **linking issues** across various data sources like social media and CRM. - Users note that a **more structured and smoother User Interface** in Semeon Analytics would enhance the overall experience. - Users express frustration with the **slow loading** times of Semeon Analytics, hindering their workflow and efficiency. - Users report **slow performance** in Semeon Analytics, leading to frustrations and hindered productivity during analysis tasks. #### What Are Recent G2 Reviews of Semeon Analytics? **["Great tool for text analysis and AI based solutions"](https://www.g2.com/survey_responses/semeon-analytics-review-10568744)** **Rating:** 4.0/5.0 stars _— Avashesh S._ [Read full review](https://www.g2.com/survey_responses/semeon-analytics-review-10568744) **["Making your life easy and smooth"](https://www.g2.com/survey_responses/semeon-analytics-review-8896400)** **Rating:** 5.0/5.0 stars _— Arvind S._ [Read full review](https://www.g2.com/survey_responses/semeon-analytics-review-8896400) ### [Verint Speech and Text Analytics](https://www.g2.com/products/verint-speech-and-text-analytics/reviews) Verint Speech and Text Analytics is an enterprise-grade solution can automatically discover and analyze words, phrases, categories, and themes that may be affecting customer experience. This rich source of behavioral data can deliver immediate business outcomes for your organization. Powered by Verint Exact Transcription Bot, Verint Speech Analytics can provide unmatched transcription and comprehension accuracy at your fingertips. With Verint, you can accurately process voice with complete speaker separated transcription for 100% of customer interactions. Genie Bot Verint Genie Bot leverages generative AI to supercharge your analyst capacity. The bot gives analysts the power to ask questions about their unstructured data for immediate insights. This bot is embedded in Verint Speech Analytics. PII Redaction Bot With the PII Redaction Bot, you can automatically redact sensitive information such as credit card number or social security number from a voice interaction, without the need for any additional product or service subscription. Sentiment Bot Verint Sentiment Bot accurately scores every voice and digital customer interaction so you can identify, quantify, and analyze the various factors that are influencing customers’ sentiment during interactions. AI Business Outcomes with Verint Speech Analytics $3M In Revenue Major US healthcare company was able to significantly improve cross selling and drive $3M in incremental revenue within 3 months. 10% Increase In Agent Capacity Global Insurance firm saw their self-service success improve by 12%, resulting in 10% increase in agent capacity. **Average Rating:** 4.4/5.0 **Total Reviews:** 83 #### How Do G2 Users Rate Verint Speech and Text Analytics? - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.0/10) #### Who Is the Company Behind Verint Speech and Text Analytics? - **Seller:** [Verint](https://www.g2.com/sellers/verint) - **Year Founded:** 1994 - **HQ Location:** Melville, New York - **Twitter:** @Verint 7,739 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b20cca92e44af2b98c53797e90b6315728690101f1adedb4ff45cb9ca0e59f4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fverint&secure%5Burl_type%5D=linkedin_company_website) 4,343 employees on LinkedIn® - **Ownership:** Thoma Bravo #### Who Uses This Product? - **Top Industries:** Insurance, Banking - **Company Size:** 67% Large, 28% Medium #### What Do G2 Reviewers Say About Verint Speech and Text Analytics? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **intuitive design** of Verint Speech and Text Analytics, making call reviews and insights seamless. - Users praise the **high accuracy** of Verint Speech and Text Analytics, delivering valuable insights for informed decision-making. - Users value the **real-time insights** provided by Verint Speech Analytics, enhancing call reviews and improving quality assurance efficiency. - Users praise the **real-time analytics** feature of Verint, enabling effective management of interactions through insightful dashboards. - Users value the **actionable insights** provided by Verint Speech Analytics, enhancing customer experience and performance improvement. ##### Cons - Users find **accuracy issues** in Verint Speech and Text Analytics, particularly with sarcasm and transcription confidence levels. - Users note **inaccuracy in transcription** , expressing concerns about unreliable results and low confidence scores. - Users face **transcription challenges** with clinician content, especially regarding noise from scripted parts and Portuguese terms. - Users face challenges with **inadequate reporting** , struggling with manual report creation and limited dashboard functionality. - Users face **integration issues** with Verint, wishing for a more agnostic approach to call platform compatibility. #### What Are Recent G2 Reviews of Verint Speech and Text Analytics? **["Verint PoCs"](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-11659275)** **Rating:** 4.5/5.0 stars _— Raul Eduardo A._ [Read full review](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-11659275) **["Quick Insights into Customer Behavior and Root Causes"](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-12541336)** **Rating:** 5.0/5.0 stars _— Paige F._ [Read full review](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-12541336) #### What Are G2 Users Discussing About Verint Speech and Text Analytics? - [What is Verint Text Analytics used for?](https://www.g2.com/discussions/what-is-verint-text-analytics-used-for) - 1 comment ### [Aiwo](https://www.g2.com/products/aiwo/reviews) Real time analysis of customer contacts in all customer service channels. Visualize the cost of unnecessary customer contacts, identify ownership of issues, discover trends and understand which customer segments are affected. All data in one easy-to-use dashboard. Unique AI-powered analytics Expose the inefficiencies causing the growing number of customer contacts – usually rooted at the organisations’ operational and system level, not in customer service. Aiwo is able to identify cost and value driving contacts, connect them to relevant issues and assign them to the correct business unit. Having this visibility gives you the opportunity to make faster and more focused improvements. Aiwo’s unique customer contact analysis is based on the academic theory of failure demand and native language analysis. Drive value across different roles and functions Aiwo’s real time dashboard allows you to build custom views according to the roles of your organisation. Users can easily filter or break down data according to their needs – business unit, service, segment, channel or even single messages. Enrich you own CRM or BI data through Aiwo export API. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 #### How Do G2 Users Rate Aiwo? - **Custom Extension:** 8.8/10 (Category avg: 8.1/10) - **Pre-Built Parameterization:** 7.9/10 (Category avg: 8.3/10) #### Who Is the Company Behind Aiwo? - **Seller:** [Aiwo Digital](https://www.g2.com/sellers/aiwo-digital) - **Year Founded:** 2018 - **HQ Location:** Jyväskylä, FI - **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=04d40eb4eeeadcda2e3586228bfa8a2f99a2301efa3ca3318c9c0b41e5d3ba73&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Faiwo&secure%5Burl_type%5D=linkedin_company_website) 11 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Large, 50% Medium #### What Are Recent G2 Reviews of Aiwo? **["Powerful platform for insights with AI driven analysis"](https://www.g2.com/survey_responses/aiwo-review-9412599)** **Rating:** 4.5/5.0 stars _— Jeet S._ [Read full review](https://www.g2.com/survey_responses/aiwo-review-9412599) **["Elevate analysis experience with Aiwo"](https://www.g2.com/survey_responses/aiwo-review-9425585)** **Rating:** 4.5/5.0 stars _— Akshat J._ [Read full review](https://www.g2.com/survey_responses/aiwo-review-9425585) ### [Ascribe Coder](https://www.g2.com/products/ascribe-coder/reviews) Ascribe Coder allows researcher coding analysts to code and analyze mass amounts of verbatim comments. Ascribe Coder provides human accuracy, reduces cycle times, increases productivity and lowers costs. **Average Rating:** 4.4/5.0 **Total Reviews:** 4 #### How Do G2 Users Rate Ascribe Coder? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) #### Who Is the Company Behind Ascribe Coder? - **Seller:** [Ascribe](https://www.g2.com/sellers/ascribe) - **Year Founded:** 1999 - **HQ Location:** Cincinnati, US - **Twitter:** @GoAscribe 60 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd19a25be4d4656d9825f78f71cbd1463bf8591a88b19c33a397ca457f9feead&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F117120&secure%5Burl_type%5D=linkedin_company_website) 72 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 60% Medium, 20% Large #### What Do G2 Reviewers Say About Ascribe Coder? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **quick AI-generated Nets** in Ascribe Coder, enhancing their coding efficiency effortlessly. - Users find Ascribe Coder to be **very easy to use** , especially for applying and removing code effortlessly. - Users appreciate the **easy setup** of Ascribe Coder, allowing for quick net generation and simple code additions. - Users value the **quick net generation and easy code integration** of Ascribe Coder for streamlined development. ##### Cons - Users find it challenging to **delete codes from the code frame** , leading to frustration and time loss. - Users find the **poor interface design** of Ascribe Coder frustrating, requiring excessive clicks for basic tasks. #### What Are Recent G2 Reviews of Ascribe Coder? **["Ascribe helping tool"](https://www.g2.com/survey_responses/ascribe-coder-review-11540005)** **Rating:** 4.5/5.0 stars _— Reshma S._ [Read full review](https://www.g2.com/survey_responses/ascribe-coder-review-11540005) **["Detailed and efficient coding with traditional interface"](https://www.g2.com/survey_responses/ascribe-coder-review-10507419)** **Rating:** 4.0/5.0 stars _— Malki P._ [Read full review](https://www.g2.com/survey_responses/ascribe-coder-review-10507419) #### What Are G2 Users Discussing About Ascribe Coder? - [What is Ascribe Coder used for?](https://www.g2.com/discussions/what-is-ascribe-coder-used-for) ### [Data Grand](https://www.g2.com/products/data-grand/reviews) Data Grand is a leading Chinese AI company specializing in Natural Language Processing , Optical Character Recognition , Knowledge Graphs, and Robotic Process Automation . Founded in 2015, the company offers intelligent text processing technologies and smart office robot services to enhance business efficiency across various industries. Their solutions include intelligent document processing, automated text analysis, and intelligent recommendations, serving sectors such as finance, manufacturing, telecommunications, law, auditing, media, banking, and government. Key Features and Functionality: - Intelligent Document Processing : Automates the extraction and processing of information from documents, improving accuracy and efficiency. - Optical Character Recognition : Converts various types of documents, such as scanned papers or PDFs, into editable and searchable data. - Robotic Process Automation : Automates repetitive tasks using AI, including automation creation, deployment, and monitoring. - Natural Language Processing : Enables computers to understand, interpret, and generate human language effectively. - Knowledge Graphs: Organizes and connects information to enhance data retrieval and analysis. - Intelligent Recommendations: Provides personalized content suggestions to users based on data analysis. Primary Value and User Solutions: Data Grand's products address the challenges of manual document processing and repetitive tasks by offering intelligent automation solutions. Their technologies streamline workflows, reduce human error, and enhance operational efficiency. By integrating AI-driven tools like IDP, OCR, and RPA, businesses can automate complex processes, leading to significant time and cost savings. These solutions are particularly beneficial for industries with high volumes of text-based data, enabling them to manage information more effectively and make informed decisions. **Average Rating:** 3.5/5.0 **Total Reviews:** 4 #### How Do G2 Users Rate Data Grand? - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10) - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 6.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 6.3/10 (Category avg: 8.3/10) #### Who Is the Company Behind Data Grand? - **Seller:** [Data Grand](https://www.g2.com/sellers/data-grand) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Medium, 50% Small #### What Are Recent G2 Reviews of Data Grand? **["Automatically scans documents"](https://www.g2.com/survey_responses/data-grand-review-9362472)** **Rating:** 4.5/5.0 stars _— Verified User in Accounting_ [Read full review](https://www.g2.com/survey_responses/data-grand-review-9362472) - [‹ Prev‹ Prev](/categories/text-analysis?country=56&order=g2_score&page=3#product-list) - [1](/categories/text-analysis?country=56&order=g2_score#product-list) - [2](/categories/text-analysis?country=56&order=g2_score&page=2#product-list) - [3](/categories/text-analysis?country=56&order=g2_score&page=3#product-list) - 4 - [5](/categories/text-analysis?country=56&order=g2_score&page=5#product-list) - [6](/categories/text-analysis?country=56&order=g2_score&page=6#product-list) - [7](/categories/text-analysis?country=56&order=g2_score&page=7#product-list) - [8](/categories/text-analysis?country=56&order=g2_score&page=8#product-list) - … - [12](/categories/text-analysis?country=56&order=g2_score&page=12#product-list) - [13](/categories/text-analysis?country=56&order=g2_score&page=13#product-list) - [Next ›Next ›](/categories/text-analysis?country=56&order=g2_score&page=5#product-list) Spotlight Categories [Digital Signage Software](https://www.g2.com/categories/digital-signage) [Integration Platform as a Service (iPaaS) Solutions](https://www.g2.com/categories/ipaas) [Lead Intelligence Software](https://www.g2.com/categories/lead-intelligence) [Revenue Operations & Intelligence (RO&I) Software](https://www.g2.com/categories/revenue-operations-intelligence-ro-i) [Purchasing Software](https://www.g2.com/categories/purchasing-software) 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.