# Best Natural Language Understanding (NLU) Software - Page 3 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Natural language understanding (NLU) software uses machine learning algorithms and statistical methods to help applications better understand human text, providing outputs such as part-of-speech tagging, sentiment analysis, named entity recognition, automatic summarization, emotion detection, and language detection from language inputs. ### Core Capabilities of NLU Software To qualify for inclusion in the Natural Language Understanding category, a product must: - Provide a deep learning algorithm specifically for human language interaction - Connect with language data pools to learn a specific solution or function - Consume language as an input and provide an outputted solution ### Common Use Cases for NLU Software Developers and AI teams use NLU software to add human language comprehension capabilities to applications and services. Common use cases include: - Powering chatbots and virtual assistants with intent recognition and multi-turn conversation understanding - Enabling social media monitoring tools to analyze brand sentiment and detect mentions automatically - Supporting translation and language detection applications across diverse linguistic data sources ### How NLU Software Differs from Other Tools NLU is a specialized form of [natural language processing (NLP)](https://www.g2.com/categories/natural-language-processing-nlp) focused specifically on language comprehension and intent understanding, rather than the full spectrum of text processing tasks. NLU algorithms are examples of deep learning and may be offered as prebuilt capabilities within broader AI platform solutions, making them more focused than general NLP platforms that cover text generation and classification alongside understanding. ### Insights from G2 on NLU Software Based on category trends on G2, intent recognition accuracy and ease of integration into conversational applications stand out as top capabilities. These platforms deliver improvements in chatbot understanding and reduction in misclassified user inputs as primary outcomes of adoption. ## G2 Grid® for Natural Language Understanding (NLU) Software ![G2 Grid® for Natural Language Understanding (NLU) Software plotting products by satisfaction and market presence](https://www.g2.com/categories/natural-language-understanding-nlu/grids.png?focus%5B%5D=1579500&focus%5B%5D=21473&focus%5B%5D=52116&focus%5B%5D=1562959&focus%5B%5D=21472&focus%5B%5D=77169&focus%5B%5D=1375562&focus%5B%5D=1435141) Highlighted products: Claude, Google Cloud Translation API, Amazon Comprehend, Microsoft 365 Copilot, Google Cloud Natural Language API, Deepgram, Azure AI Language, and Google NotebookLM. Underlying data: [Grid® JSON](https://www.g2.com/categories/natural-language-understanding-nlu/grids.json?focus%5B%5D=claude-2025-12-11&focus%5B%5D=google-cloud-translation-api&focus%5B%5D=amazon-comprehend&focus%5B%5D=microsoft-microsoft-365-copilot&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=deepgram&focus%5B%5D=azure-ai-language&focus%5B%5D=google-notebooklm) ## How Many Natural Language Understanding (NLU) Software Products Does G2 Track? **Total Products under this Category:** 79 ### Category Stats (Jul 2026) - **Average Rating**: 4.43/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Plasticity (+6.25%) - Among all products in this category, Plasticity recorded the largest rating increase compared to last month *Last updated: July 21, 2026* ## How Does G2 Rank Natural Language Understanding (NLU) Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 2,400+ Authentic Reviews - 79+ 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. ## Which Natural Language Understanding (NLU) Software Is Best for Your Use Case? - **Leader:** [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - **Highest Performer:** [Google NotebookLM](https://www.g2.com/products/google-notebooklm/reviews) - **Easiest to Use:** [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - **Top Trending:** [Deepgram](https://www.g2.com/products/deepgram/reviews) - **Best Free Software:** [Google Cloud Translation API](https://www.g2.com/products/google-cloud-translation-api/reviews) ## What Are the Top-Rated Natural Language Understanding (NLU) Software Products in 2026? ### 1. [ITyX AI Platform](https://www.g2.com/products/ityx-ai-platform/reviews) A platform that can "think for itself" providing integrated handling of all service processes. Documents, e-mails, web and mobile apps: AI Platform is the intelligent core of the ITyX portfolio. It analyzes and understands text-based content - independently of language, type, and structure. It helps you overcome the application chaos of incoming e-mails, customer service requests and back office making your service processes future-proof. **Who Is the Company Behind ITyX AI Platform?** - **Seller:** [ITyX Solutions](https://www.g2.com/sellers/ityx-solutions) - **Year Founded:** 1996 - **HQ Location:** Köln, DE - **LinkedIn® Page:** https://www.linkedin.com/company/ityx-solutions/ (106 employees on LinkedIn®) ### 2. [Kcore Analytics](https://www.g2.com/products/kcore-analytics/reviews) Kcore Analytics is an innovative platform that leverages artificial intelligence and social network analysis to predict human behavior and trends by analyzing real-time online data. Established in 2019 and based in New York, the company specializes in forecasting election outcomes, identifying key influencers, and anticipating market movements. By integrating advanced machine learning algorithms with vast datasets from social media platforms, Kcore Analytics offers precise and timely insights into public opinion and consumer behavior. Key Features and Functionality: - Election Prediction: Utilizes real-time social media analysis to provide accurate and swift forecasts of election trends, offering a modern alternative to traditional polling methods. - Influencer Identification: Employs sophisticated algorithms to detect and target influential individuals within social networks, enhancing the effectiveness of marketing and outreach campaigns. - Market Trend Forecasting: Analyzes global trends across various sectors, from financial markets to consumer products and social movements, enabling businesses to stay ahead of emerging developments. Primary Value and Solutions: Kcore Analytics addresses the limitations of conventional polling and market research by providing real-time, data-driven insights derived from extensive online interactions. Its AI-driven approach allows for the rapid processing of unstructured data, transforming it into actionable intelligence. This empowers political organizations, marketers, and decision-makers to make informed choices, tailor strategies to current public sentiments, and effectively engage with target audiences. By harnessing the power of artificial intelligence and big data, Kcore Analytics delivers a comprehensive understanding of societal trends and behaviors. **Who Is the Company Behind Kcore Analytics?** - **Seller:** [Kcore Analytics](https://www.g2.com/sellers/kcore-analytics) - **Year Founded:** 2019 - **HQ Location:** New York, US - **LinkedIn® Page:** http://linkedin.com/company/kcore-analytics-llc (2 employees on LinkedIn®) ### 3. [Linkedincommentai](https://www.g2.com/products/linkedincommentai/reviews) LinkedIn Comment AI is an upcoming tool designed to enhance user engagement on LinkedIn by providing intelligent, context-aware comment suggestions. By analyzing post content and user interactions, it generates relevant and personalized responses, streamlining the commenting process and fostering meaningful conversations. Key Features and Functionality: - Contextual Comment Generation: Utilizes advanced algorithms to understand post content and generate appropriate comments. - Personalization: Tailors responses based on user preferences and interaction history. - Efficiency: Reduces the time and effort required to engage with LinkedIn content. Primary Value and User Solutions: LinkedIn Comment AI addresses the challenge of maintaining active engagement on LinkedIn by automating the commenting process. It enables users to participate in discussions more effectively, enhancing their professional presence and networking opportunities. **Who Is the Company Behind Linkedincommentai?** - **Seller:** [LinkedIn Comment AI](https://www.g2.com/sellers/linkedin-comment-ai) - **Year Founded:** 2023 - **HQ Location:** Kuala Lumpur, MY - **LinkedIn® Page:** https://www.linkedin.com/company/linkedin-comment-ai/ (1 employees on LinkedIn®) ### 4. [Locbi](https://www.g2.com/products/locbi/reviews) Locbi is a business intelligence service that enables companies to gain valuable insights into their local competitors by analyzing publicly available Google Maps reviews. By leveraging advanced AI, Locbi generates comprehensive reports that help businesses understand customer sentiments, identify areas for improvement, and uncover market opportunities. Key Features and Functionality: - Competitor Analysis: Locbi examines competitors' Google Maps reviews to provide a clear picture of their strengths and weaknesses. - Customer Sentiment Insights: The service identifies recurring themes and sentiments in customer feedback, highlighting common praises and complaints. - Actionable Recommendations: Based on the analysis, Locbi offers strategic suggestions to enhance business operations and customer satisfaction. - Flexible Reporting Options: Users can opt for single reports or subscribe to monthly analyses, catering to various business needs. Primary Value and Problem Solved: Locbi addresses the challenge businesses face in understanding and outperforming local competitors. By providing detailed insights into competitors' customer feedback, Locbi empowers businesses to make informed decisions, improve their services, and strategically position themselves in the market. This proactive approach helps in enhancing customer satisfaction and driving growth. **Who Is the Company Behind Locbi?** - **Seller:** [Contentbase](https://www.g2.com/sellers/contentbase) - **Year Founded:** 2025 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/contentbaseai/ (1 employees on LinkedIn®) ### 5. [Loyae](https://www.g2.com/products/loyae/reviews) Loyae optimizes websites for better rankings & organic traffic, enhancing your online presence. **Who Is the Company Behind Loyae?** - **Seller:** [Loyae](https://www.g2.com/sellers/loyae) - **Year Founded:** 2014 - **HQ Location:** Bay Area, US - **LinkedIn® Page:** https://www.linkedin.com/company/loyae (2 employees on LinkedIn®) ### 6. [msgmate.io](https://www.g2.com/products/msgmate-io/reviews) Msgmate generates images for an enhanced chat experience in messaging apps. **Who Is the Company Behind msgmate.io?** - **Seller:** [msgmate.io](https://www.g2.com/sellers/msgmate-io) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 7. [ONDEWO NLU Platform](https://www.g2.com/products/ondewo-nlu-platform/reviews) The ONDEWO NLU Platform is an advanced natural language understanding solution designed to empower businesses in creating intelligent conversational agents. By leveraging cutting-edge AI technologies, it enables the development of chatbots and virtual assistants capable of comprehending and processing human language with high accuracy. Key Features and Functionality: - Intent Recognition: Accurately identifies user intentions to facilitate appropriate responses. - Entity Extraction: Extracts relevant data points from user inputs for enhanced context understanding. - Context Management: Maintains conversational context to ensure coherent and meaningful interactions. - Multilingual Support: Supports multiple languages, enabling global reach and accessibility. - Scalability: Designed to handle high volumes of interactions, suitable for businesses of all sizes. Primary Value and User Solutions: The ONDEWO NLU Platform addresses the challenge of creating responsive and intelligent conversational agents by providing a robust framework for natural language processing. It enhances customer engagement through more human-like interactions, streamlines customer support by automating responses, and improves operational efficiency by reducing the need for human intervention in routine inquiries. This leads to increased customer satisfaction and cost savings for businesses implementing the platform. **Who Is the Company Behind ONDEWO NLU Platform?** - **Seller:** [ONDEWO](https://www.g2.com/sellers/ondewo) - **Year Founded:** 2017 - **HQ Location:** Vienna, AT - **LinkedIn® Page:** https://www.linkedin.com/company/ondewo (9 employees on LinkedIn®) ### 8. [Oomiji](https://www.g2.com/products/oomiji/reviews) Oomiji is an AI-powered customer intelligence platform that enables businesses to capture, analyze, and act upon qualitative customer feedback at the individual level. By integrating customer acquisition, management, understanding, engagement, and measurement into a single, intuitive system, Oomiji helps companies build authentic, insight-driven connections with their customers. Key Features and Functionality: - Individual-Level Language Intelligence: Oomiji appends verbatim, open-ended customer feedback directly to individual records, making emotions, perceptions, and motivations searchable and actionable at the person level. - Understanding "Why," Not Just "What": The platform applies AI to qualitative inputs to surface the underlying perceptions and emotional drivers behind customer behavior, going beyond traditional behavioral metrics. - One-Click Insight to Action: Oomiji instantly generates executive-ready themes, opportunities, and friction points, eliminating manual analysis and enabling swift decision-making without the need for data scientists. - Language-Based Segmentation: The system creates dynamic segments based on exact customer language, such as "loyal but price-sensitive," allowing for targeted marketing based on how customers describe their own experiences. - Reinventing NPS as a Growth Engine: Oomiji transforms static Net Promoter Scores into qualitative tools by analyzing the language behind the scores, facilitating the creation of look-alike promoter audiences and targeted recovery strategies. - Built for Activation, Not Just Insight: The platform integrates directly into CRM and marketing workflows, supporting revenue-driving personalization strategies. Primary Value and Solutions Provided: Oomiji addresses the limitations of traditional data aggregation by capturing the nuances of customer language, providing businesses with reliable, accurate, and actionable data. This leads to improved customer trust and loyalty, increased efficiency through reduced re-discovery and re-asking, and enhanced relevance in communication. By preserving qualitative data, Oomiji enables better targeting, higher conversion rates, and ultimately, increased sales. **Who Is the Company Behind Oomiji?** - **Seller:** [Oomiji](https://www.g2.com/sellers/oomiji) - **Year Founded:** 2022 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/oomiji (926 employees on LinkedIn®) ### 9. [Ozmosys](https://www.g2.com/products/ozmosys/reviews) Ozmosys is an AI-driven platform designed to streamline content discovery and analysis for professionals in the legal and financial sectors. By aggregating and processing data from diverse sources, including news outlets and social media, Ozmosys enables users to stay informed about industry trends, market movements, and critical developments without the fear of missing out. Key Features and Functionality: - Fetch: Utilizes web scraping technology to collect data from various online sources, including social media posts and news articles. - Analyze: Offers tools such as keyword clouds, discussion volume charts, and sentiment analysis to interpret and visualize the gathered information. - Curate: Employs powerful search capabilities, noise-filtering algorithms, and an AI relevancy engine to refine and prioritize content. - Deliver: Provides real-time monitoring, instant alerts, and daily digests to keep users updated on pertinent information. Primary Value and User Solutions: Ozmosys addresses the challenge of information overload by delivering concise, relevant, and timely insights tailored to the user's specific interests. This ensures that professionals are never left out or surprised by critical developments in their field, allowing them to make informed decisions efficiently. By automating the processes of data collection, analysis, and dissemination, Ozmosys saves valuable time and enhances productivity for its users. **Who Is the Company Behind Ozmosys?** - **Seller:** [Ozmosys](https://www.g2.com/sellers/ozmosys) - **Year Founded:** 2019 - **HQ Location:** Kyiv, UA - **LinkedIn® Page:** https://www.linkedin.com/company/newsfetch (1 employees on LinkedIn®) ### 10. [PDF Flex](https://www.g2.com/products/pdf-flex/reviews) PDF Flex, now integrated into PDF Guru, is an AI-powered tool designed to efficiently summarize lengthy PDF documents, including articles, reports, and research papers. By leveraging advanced artificial intelligence, it condenses extensive content into concise summaries, enabling users to quickly grasp essential information without reading the entire document. Key Features and Functionality: - AI-Powered Summarization: Utilizes advanced AI algorithms to generate accurate and concise summaries of lengthy PDF documents. - Multilingual Support: Supports summarization in multiple languages, including English, Italian, French, Portuguese, German, and Spanish, catering to a diverse user base. - User-Friendly Interface: Offers a simple drag-and-drop feature for uploading files, making the summarization process straightforward and accessible. - Secure Processing: Ensures document confidentiality with HTTPS encryption and robust security protocols during the summarization process. - Free Access: Provides free summarization services without the need for additional software installation, offering a cost-effective solution for users. Primary Value and User Benefits: PDF Flex addresses the challenge of information overload by enabling users to quickly extract key insights from extensive documents. This is particularly beneficial for professionals, students, and researchers who need to review large volumes of information efficiently. By providing concise summaries, it saves time, enhances productivity, and facilitates better decision-making. The tool's multilingual capabilities and user-friendly design make it accessible to a global audience, while its commitment to security ensures that users can trust the confidentiality of their documents. **Who Is the Company Behind PDF Flex?** - **Seller:** [Pdfguru](https://www.g2.com/sellers/pdfguru) - **Year Founded:** 2023 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/pdf-guru (10 employees on LinkedIn®) ### 11. [Pdftranslator](https://www.g2.com/products/pdftranslator/reviews) PDF Translator & Editor is a comprehensive multilingual document translation tool designed to preserve the original format and layout of various file types. It supports translating native and scanned PDFs, Word documents, Excel spreadsheets, PowerPoint presentations, and image files (JPG, PNG, HEIC) into 136 languages. Leveraging advanced AI-driven translation models from Google and Microsoft, it ensures accurate translations while maintaining the integrity of the original document's design. With a global user base spanning over 200 countries and more than 250,000 users, PDF Translator & Editor offers unlimited access without file size or page limits, making it a reliable solution for diverse translation needs. Key Features and Functionality: - Universal File Format Translation: Supports a wide range of file formats, including native and scanned PDFs, Word, Excel, PowerPoint, and image files, enabling seamless translation across different document types. - Format and Layout Preservation: Ensures that the translated documents retain the original formatting and layout, providing a professional and consistent appearance. - Versatile PDF Conversion and Editing: Offers functionalities such as converting PDFs to images and vice versa, editing PDF text, scanning to PDF, and splitting PDFs, enhancing document management capabilities. - AI-Driven Translation: Utilizes powerful neural machine translation models from Google and Microsoft, supporting automatic language detection and multilingual document translation for accurate and efficient results. - Global Accessibility: Trusted by users in over 200 countries, with a growing user base exceeding 250,000, reflecting its reliability and effectiveness. - Unlimited Access: Provides unrestricted usage without limitations on file size or the number of pages, accommodating extensive translation projects. - App Integration: Allows translation from any application using the share extension, facilitating convenient and quick translations directly from various platforms. Primary Value and User Solutions: PDF Translator & Editor addresses the challenge of translating diverse document types while preserving their original formatting and layout. By supporting multiple file formats and languages, it caters to professionals, students, and organizations requiring accurate and efficient document translations. The integration of advanced AI translation models ensures high-quality translations, while features like unlimited access and app integration enhance user convenience and productivity. This comprehensive tool simplifies the translation process, making it accessible and reliable for a global audience. **Who Is the Company Behind Pdftranslator?** - **Seller:** [PDF Translator](https://www.g2.com/sellers/pdf-translator) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 12. [Prediction Guard](https://www.g2.com/products/prediction-guard/reviews) Prediction Guard enables security-sensitive teams to deploy, operate, and govern generative AI without compromising data control or compliance. The platform is built for true private deployment — on-prem, air-gapped, hybrid, or cloud — and supports bring-your-own-model workflows so teams can run preferred open models behind their firewall. Security and governance are applied directly in the inference pipeline: Prediction Guard performs pre-model PII detection & anonymization, prompt-injection scoring and blocking, and post-model output validation to reduce leakage and hallucination risk. Admins get tamper-resistant audit logs, configurable policy rules, real-time alerts, and developer-friendly APIs and SDKs for MLOps integration. Prediction Guard is purpose-built for regulated industries (finance, healthcare, legal) and platform teams that need to scale private AI with operational controls and auditability. **Who Is the Company Behind Prediction Guard?** - **Seller:** [Prediction Guard](https://www.g2.com/sellers/prediction-guard) - **HQ Location:** Lafayette, Indiana - **LinkedIn® Page:** https://www.linkedin.com/company/prediction-guard/ (14 employees on LinkedIn®) ### 13. [Prosa.ai](https://www.g2.com/products/prosa-ai/reviews) Gain deeper insight and understanding of the Indonesian audiences by utilizing the power of Artificial Intelligence crafted by local experts **Who Is the Company Behind Prosa.ai?** - **Seller:** [Prosa.ai](https://www.g2.com/sellers/prosa-ai) - **Year Founded:** 2018 - **HQ Location:** Bandung, ID - **LinkedIn® Page:** https://www.linkedin.com/company/13720567 (35 employees on LinkedIn®) ### 14. [Rabbitreader](https://www.g2.com/products/rabbitreader/reviews) Rabbit Reader is an AI-powered reading assistant designed to help users comprehend complex texts quickly and efficiently. By selecting text on any webpage, Rabbit provides concise explanations with reliable sources, enabling users to learn up to ten times faster and save hours of reading time. Initially developed to expedite the reading of Arxiv papers, Rabbit has become a valuable tool for students, researchers, and professionals who regularly engage with intricate material. Key Features and Functionality: - Instant Explanations: Select any text on a webpage to receive a simplified explanation with source references. - Advanced AI Models: Utilizes cutting-edge AI models, including GPT-4o, Sonar Pro, GPT-o1, and Sonar Research Pro, to deliver accurate and context-aware information. - User-Friendly Interface: Seamlessly integrates into your reading workflow, providing assistance without disrupting your experience. Primary Value and Problem Solved: Rabbit Reader addresses the challenge of understanding complex and dense texts by offering immediate, clear explanations. This capability significantly reduces the time and effort required to process intricate information, making it an indispensable tool for those who need to digest large volumes of complex material efficiently. **Who Is the Company Behind Rabbitreader?** - **Seller:** [Rabbit Reader](https://www.g2.com/sellers/rabbit-reader) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 15. [Recensia](https://www.g2.com/products/recensia/reviews) Recensia is a comprehensive review analytics platform designed to help businesses analyze and interpret user feedback from the App Store and Google Play. By aggregating and processing reviews, Recensia provides actionable insights that enable companies to enhance their products and services based on real user experiences. Key Features and Functionality: - Review Aggregation: Collects user reviews from both the App Store and Google Play, providing a centralized repository for feedback. - Sentiment Analysis: Utilizes advanced algorithms to assess the tone and sentiment of user reviews, distinguishing between positive, negative, and neutral feedback. - Trend Identification: Detects emerging patterns and trends in user feedback, allowing businesses to proactively address potential issues or capitalize on positive aspects. - Customizable Reports: Generates detailed reports tailored to specific metrics and KPIs, facilitating informed decision-making. - Competitive Benchmarking: Offers insights into competitors' reviews, enabling businesses to understand their position in the market and identify areas for improvement. Primary Value and User Solutions: Recensia empowers businesses to make data-driven decisions by transforming raw user feedback into meaningful insights. By understanding customer sentiments and identifying trends, companies can enhance user satisfaction, improve product offerings, and maintain a competitive edge in the market. The platform simplifies the complex process of review analysis, saving time and resources while providing a clear roadmap for product development and customer engagement strategies. **Who Is the Company Behind Recensia?** - **Seller:** [Recensia](https://www.g2.com/sellers/recensia) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 16. [Semantic Kernel](https://www.g2.com/products/semantic-kernel/reviews) Semantic Kernel allows you to seamlessly implement advanced LLM technology into your applications, upgrading your coding capabilities. **Who Is the Company Behind Semantic Kernel?** - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT ### 17. [Sensory Micro Language Models and Custom Grammars](https://www.g2.com/products/sensory-micro-language-models-and-custom-grammars/reviews) Sensory Micro Language Models are compact natural language understanding engines designed for embedded systems. They interpret user intent, context, and meaning locally, enabling conversational voice experiences without relying on servers, large models, or internet connections. For more resource constrained solutions, Sensory provides Custom Grammars for precise, on-device speech recognition for defined commands and structured phrases. They are ideal for embedded products that need predictable inputs like “Set temperature to 72 degrees” or “Turn on lights” and can support large vocabularies and work reliably in noisy environments. **Who Is the Company Behind Sensory Micro Language Models and Custom Grammars?** - **Seller:** [Sensory](https://www.g2.com/sellers/sensory) - **Year Founded:** 1994 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/sensory-inc-/ (54 employees on LinkedIn®) ### 18. [Spark NLP](https://www.g2.com/products/spark-nlp/reviews) John Snow Labs' Spark NLP is an open source text processing library for Python, Java, and Scala. It provides production-grade, scalable, and trainable versions of the latest research in natural language processing. **Who Is the Company Behind Spark NLP?** - **Seller:** [John Snow Labs](https://www.g2.com/sellers/john-snow-labs) - **Year Founded:** 2015 - **HQ Location:** Lewes, US - **Twitter:** @JohnSnowLabs (44,139 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/johnsnowlabs (98 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 19. [Spokestack](https://www.g2.com/products/spokestack/reviews) We're a powerful platform of open source libraries and robust services to make your software fully voice-enabled including: - Automatic Speech Recognition - Voice Activity Detection - Wakeword - Text-to-speech - Custom Voice - Natural Language Understanding **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Spokestack?** - **Quality of Support:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Spokestack?** - **Seller:** [Spokestack](https://www.g2.com/sellers/spokestack) - **Year Founded:** 2019 - **HQ Location:** Proudly distributed , OO - **LinkedIn® Page:** http://www.linkedin.com/company/spokestack (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Spokestack? **"[Increases efficiency of work](https://www.g2.com/survey_responses/spokestack-review-9373082)"** **Rating:** 4.5/5.0 stars *— Arpit C.* [Read full review](https://www.g2.com/survey_responses/spokestack-review-9373082) --- ### 20. [Talkingpdf](https://www.g2.com/products/talkingpdf/reviews) TalkingPDF.io is an innovative web application that transforms the way users interact with PDF documents. By enabling conversational engagement, it allows users to chat with their PDFs as if they were texting a friend. This AI-powered tool eliminates the need to manually search through lengthy documents, offering a streamlined and efficient method to extract information, ask questions, and receive summaries directly from the content. Key Features and Functionality: - Interactive PDF Chat Interface: Engage in real-time conversations with any PDF document, allowing for intuitive information retrieval. - AI-Powered Content Generation: Generate PowerPoint presentations directly from PDF content, saving time and enhancing productivity. - Customization and Personalization: Tailor interactions by setting preferences for summary lengths, response styles, and more, ensuring the tool meets individual needs. Primary Value and User Solutions: TalkingPDF.io addresses the common challenge of navigating and extracting information from extensive PDF documents. By offering a conversational interface, it significantly reduces the time and effort required to locate specific details, making the reading and research process more efficient. This tool is particularly beneficial for students, researchers, professionals, and anyone who regularly works with complex or lengthy PDFs, enhancing productivity and comprehension through interactive engagement. **Who Is the Company Behind Talkingpdf?** - **Seller:** [TalkingPDF.io](https://www.g2.com/sellers/talkingpdf-io) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 21. [Textalytic](https://www.g2.com/products/textalytic/reviews) Textalytic is a online-based text analysis and natural language processing software that handles pre-processing, analyzing, and visualization. **Who Is the Company Behind Textalytic?** - **Seller:** [Textalytic](https://www.g2.com/sellers/textalytic) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 22. [Textraction](https://www.g2.com/products/textraction/reviews) Textraction harnesses AI to extract entities from free text with unparalleled flexibility. **Who Is the Company Behind Textraction?** - **Seller:** [Textraction](https://www.g2.com/sellers/textraction) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 23. [Theoassist](https://www.g2.com/products/theoassist/reviews) TheoAssist is an AI-driven platform designed to enhance spiritual growth by providing personalized guidance, in-depth Bible study tools, and a supportive community for believers worldwide. It offers a suite of features aimed at deepening users' understanding of scriptures, assisting in sermon preparation, and facilitating meaningful spiritual connections. Key Features and Functionality: - Bible Companion: Utilizes AI to offer insightful analyses of scriptures, catering to both novices and seasoned scholars seeking a profound understanding of the Bible. - On-The-Go Spiritual Guidance: Delivers AI-powered insights directly to users' smartphones, ensuring continuous spiritual support regardless of location. - Sermon Preparation: Provides comprehensive resources, including in-depth research and divinely inspired wisdom, to aid in crafting impactful sermons. - Spiritual Guidance: Acts as a reliable companion, offering personalized AI-driven advice to address spiritual questions and clarify complex biblical concepts. - Dynamic Community: Fosters a global network where believers can connect, share wisdom, and support each other in their spiritual journeys. - Bible Q&A: Offers tailored, well-researched responses to specific Bible-related queries, promoting a deeper understanding of scriptures. Primary Value and Solutions Provided: TheoAssist addresses the challenge of integrating spiritual growth into daily life by offering accessible, AI-enhanced tools that cater to individual faith journeys. It empowers users to deepen their understanding of the Bible, prepare impactful sermons efficiently, and receive personalized guidance, all while fostering a sense of community among believers. By leveraging technology, TheoAssist ensures that spiritual support and resources are available anytime, anywhere, making faith exploration more engaging and accessible. **Who Is the Company Behind Theoassist?** - **Seller:** [Theoassist](https://www.g2.com/sellers/theoassist) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 24. [TrulyNatural](https://www.g2.com/products/trulynatural/reviews) TrulyNatural is a voice control technology with mobile and automotive capabilities. that recognizes, analyzes and responds to keywords. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate TrulyNatural?** - **Quality of Support:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind TrulyNatural?** - **Seller:** [Sensory](https://www.g2.com/sellers/sensory) - **Year Founded:** 1994 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/sensory-inc-/ (54 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of TrulyNatural? **"[For those who love nature](https://www.g2.com/survey_responses/trulynatural-review-8895055)"** **Rating:** 4.5/5.0 stars *— Vipul V.* [Read full review](https://www.g2.com/survey_responses/trulynatural-review-8895055) --- ### 25. [Trump Tracker](https://www.g2.com/products/trump-tracker/reviews) Trump Tracker is an AI-powered platform designed to provide comprehensive analytics on news related to former President Donald Trump. By aggregating and analyzing news articles, social media posts, and other digital content, it offers users a nuanced understanding of the media landscape surrounding Trump. Key Features and Functionality: - News Aggregation: Collects and curates news articles and social media content related to Donald Trump from various sources. - Sentiment Analysis: Utilizes advanced AI algorithms to assess the tone and sentiment of the collected content, distinguishing between positive, negative, and neutral perspectives. - Trend Identification: Identifies emerging trends and patterns in media coverage, highlighting shifts in public discourse and media focus. - Data Visualization: Presents findings through intuitive charts and graphs, enabling users to easily interpret complex data. Primary Value and User Solutions: Trump Tracker addresses the challenge of navigating the vast and often polarized media coverage of Donald Trump. By providing objective, data-driven insights, it empowers journalists, researchers, and the general public to discern media biases, understand public sentiment, and stay informed about evolving narratives. This tool is particularly valuable for those seeking to cut through the noise and obtain a clear, analytical perspective on news related to Trump. **Who Is the Company Behind Trump Tracker?** - **Seller:** [Trump Tracker](https://www.g2.com/sellers/trump-tracker) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ## What Is Natural Language Understanding (NLU) Software? [Natural Language Processing (NLP) Software](https://www.g2.com/categories/natural-language-processing-nlp) --- ## How Do You Choose the Right Natural Language Understanding (NLU) Software? ### What You Should Know About Natural Language Understanding Software ### What is Natural Language Understanding Software? Natural language understanding, a subset of natural language processing (NLP), makes predictions or decisions based on text data. These learning algorithms can be embedded within applications to provide automated artificial intelligence (AI) features. A connection to a data source is necessary for the algorithm to learn and adapt over time.  Pulling out actionable insights from numerical data housed in ERP systems, CRM software, or accounting software is one thing, but gaining insights from unstructured data sources is invaluable. Without dedicated software for this task, businesses must spend significant time and resources building natural language understanding models or haphazardly investigating the data. These algorithms may be developed with supervised learning or unsupervised learning. Supervised learning involves training an algorithm to determine a pattern of inference by feeding it consistent data to produce a repeated, general output. Human training is necessary for this type of learning. Unsupervised algorithms independently reach an output and are a feature of deep learning algorithms. Reinforcement learning is the final form of machine learning, which consists of algorithms that understand how to react based on their situation or environment. End users of intelligent applications may not be aware that an everyday software tool utilizes a machine learning algorithm to provide automation of some kind. Additionally, machine learning solutions for businesses may come in a machine learning as a service (MLaaS) model. **What Does NLU Stand For?** NLU stands for Natural Language Understanding, which is a subset of natural language processing (NLP). #### What Types of Natural Language Understanding Software Exist? Natural language understanding, at its core, allows machines to understand human language in spoken or written form. There are two key methods this can be accomplished. **Machine learning-based systems** Machine learning algorithms use statistical methods. They learn to perform tasks based on training data they are fed and adjust their methods as more data is processed. Using a combination of machine learning, deep learning, and neural networks, natural language processing algorithms hone their own rules through repeated processing and learning. **Rules-based systems** This system uses carefully designed linguistic rules. This approach was used early in the development of natural language processing and is still used. ### What are the Common Features of Natural Language Understanding Software? The following are some core features within natural language understanding software that can help users better understand text data: **Part-of-speech (POS) tagging:** With POS tagging, users can parse text by parts of speech. This can help break down sentences into component parts to understand them. **Named entity recognition (NER):** Sentences are comprised of various entities, from street names to surnames, places, and more. With NER, one can extract these entities. These extracted entities can then be fed into other systems automatically. **Sentiment analysis:** Language can be positive, negative, or neutral. Using sentiment analysis techniques, one can input text and be given the sentiment (positive or negative) of that text. **Emotion detection:** Similar to sentiment analysis, emotion detection can detect the emotion of human language, whether written or spoken. Despite the research supporting it, this method has come under scrutiny, and its veracity has been challenged. ### What are the Benefits of Natural Language Understanding Software? Natural language understanding is useful in many different contexts and industries. **Application development:** NLU drives the development of AI applications that streamline processes, identify risks, and improve effectiveness. **Efficiency:** NLU-powered applications are constantly improving because of the recognition of their value and the need to stay competitive in the industries in which they are used. They also increase the efficiency of repeatable tasks. A prime example of this can be seen in eDiscovery, where machine learning has created massive leaps in the efficiency with which legal documents are looked through, and relevant ones are identified. **Scalability:** Humans are great at analysis, but their analysis skills can break down when the amount of data is vast and when they need to produce results in record time. NLU-powered technology does not get stressed, pressured, or tired. It can analyze a (relatively) small amount of data or a large text corpus with ease, speed, and accuracy. This can be scaled across a business’ text datasets and various use cases. **Discovering trends:** NLU can do a great job at finding trends and patterns in text data. Through word clouds, graphs and charts, and more, NLU can provide users with deep insight into what is happening beneath the surface. **Empowering non-technical users:** Much NLU technology in the market is no-code or low-code, which allows non-technical users to benefit from the technology. Gone are the days when one needed to go to a data scientist or IT professional to understand language data. ### Who Uses Natural Language Understanding Software? NLU has applications across nearly every industry. Some industries that benefit from NLU applications include financial services, cybersecurity, recruiting, customer service, energy, and regulation. **Marketing:** NLU-powered marketing applications help marketers identify content trends, shape content strategy, and personalize marketing content.  **Finance:** Financial services institutions are increasing their use of NLU-powered applications to stay competitive with others in the industry who are doing the same. Some examples may include trawling through thousands of insurance claims and identifying ones with a high potential to be fraudulent. The process is similar, and the machine learning algorithm can digest the data to achieve the desired outcome quicker. **Human resources:** Resumes are long and filled with words. As such, natural language understanding technology can help recruiters comb through large amounts of resumes and other text data to better understand candidates. ### What are the Alternatives to Natural Language Understanding Software? Alternatives to natural language understanding software can replace this type of software, either partially or completely: [Machine learning software](https://www.g2.com/categories/machine-learning#learn-more) **:** Natural language understanding (NLU) software is specifically connected to and used for text data. If one is looking for more general-use machine learning algorithms, machine learning software would be a good category to pursue. [Text analysis software](https://www.g2.com/categories/text-analysis#learn-more) **:** NLU software is geared toward incorporating NLU capabilities into other applications or systems. Text analysis software, however, is an all-purpose solution built to analyze any text data. Businesses looking to focus on analyzing their text data, such as from surveys, review sites, social media, and customer service tools, can leverage text analysis software to achieve this goal. This software enables businesses to consolidate and analyze their text data within a single platform.  #### Software Related to Natural Language Understanding Software Related solutions that can be used together with natural language understanding software include: [Chatbots software](https://www.g2.com/categories/chatbots) **:** Businesses looking for an off-the-shelf conservational AI solution can leverage chatbots. Tools specifically geared toward chatbot creation helps companies use chatbots off the shelf, with little to no development or coding experience necessary. [Bot platforms software](https://www.g2.com/categories/bot-platforms) **:** Companies looking to build their own chatbot can benefit from bot platforms, which are tools used to build and deploy interactive chatbots. These platforms provide development tools such as frameworks and API toolsets for customizable bot creation. [Intelligent virtual assistants (IVAs)](https://www.g2.com/categories/intelligent-virtual-assistants) **:** Businesses that want conversational AI with strong natural language understanding capabilities should consider IVAs. IVAs understand a range of different intents from a singular utterance and can even understand responses they are not explicitly programmed to using natural language processing (NLP). With the use of machine learning and deep learning, IVAs can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests. ### Challenges with Natural Language Understanding Software Software solutions can come with their own set of challenges.  **Data preparation:** A potential concern is preparing the data to be ingested by the NLU tool. The data needs to be stored properly, whether that is in a database or data warehouse. Users may require IT or a dedicated admin to ensure the text analytics tool can consume the data. **Automation pushback:** One of the biggest potential issues with machine learning-powered applications, such as NLU, lies in removing humans from processes. This is particularly problematic when looking at emerging technologies like self-driving cars. By completely removing humans from the product development lifecycle, machines are given the power to decide in life-or-death situations. **Data security:** Companies must consider security options to ensure the correct users see the correct data. They must also have security options that allow administrators to assign verified users different levels of access to the platform. ### Which Companies Should Buy Natural Language Understanding Software? Pattern recognition can help businesses across industries. Effective and efficient predictions can help these businesses make data-informed decisions, such as dynamic pricing based upon a range of data points. **Retail:** An e-commerce site can leverage an NLU application programming interface (API) to create rich, personalized experiences for every user. **Entertainment:** Media organizations can leverage NLU to comb through their scripts and other content to catalog and categorize their material. **Finance:** Financial institutions can analyze contracts and conduct sentiment analysis and named entity recognition to better understand these documents and to scale operations. ### How to Buy Natural Language Understanding Software #### Requirements Gathering (RFI/RFP) for Natural Language Understanding Software If a company is just starting out and looking to purchase their first NLU software, wherever they are in the buying process, g2.com can help select the best machine learning software for them. Taking a holistic overview of the business and identifying pain points can help the team create 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 an RFI, a one-page list with a few bullet points describing what is needed from a machine learning platform. #### Compare Natural Language Understanding 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 the 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 advisable to narrow down the list of vendors 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 datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. #### Selection of Natural Language Understanding Software **Choose a selection team** Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities. **Negotiation** Prices on a company's pricing page are not always fixed (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 Natural Language Understanding Software Cost? NLU software is generally available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will usually lack features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some degree of support, either unlimited or capped at a certain number of hours per billing cycle. Once set up, they do not often require significant maintenance costs, especially if deployed in the cloud. As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software. #### Return on Investment (ROI) Businesses decide to deploy machine learning software with the goal of deriving some degree of ROI. As they are looking to recoup the losses that they spent on the software, it is critical to understand the costs associated with it. As mentioned above, these platforms typically are billed per user, which is sometimes tiered depending on the company size.  More users will naturally 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 the gains they have seen from their use of the platform. ### Natural Language Understanding Software Trends **Automation** With the adoption of NLU and the automation of repetitive tasks, businesses can deploy their human workforce to more creative projects. For example, if a machine learning algorithm automatically displays personalized advertisements based on a user’s text, the human marketing team can work on producing creative material. **Voice technology** Voice is a primal method of interacting with others. It is only natural that we now converse with our machines using our voice and that the platforms for said voicebots have seen great success. Voice makes technology feel more human and allows people to trust it more. Voice will prove to be a crucial natural interface that mediates human communication and relationships with devices within an AI-powered world. **Artificial intelligence (AI)** AI is quickly becoming a promising feature of many, if not most, types of software. With machine learning, end users can identify patterns in data, allowing them to make sense of content and help them understand what they are seeing. This pattern recognition is fueling the rise of more powerful, contextually-aware chatbots.