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February 29, 2024

The Best AI Text Analysis Tools. Comparison (2024)


Edwin Lisowski

CSO & Co-Founder

Reading time:

14 minutes

More than 4.83 billion people are on social media today, each with an average of seven accounts on different platforms. [1][2] Each person spends an average of 151 minutes interacting with content from different brands and influencers on social media. [3] Social media users engage with content by liking, sharing, and commenting on various issues and posts during these interactions.

Traditionally, organizations could only gauge customer sentiment on social media posts by counting the number of likes and dislikes on specific products advertised on social media. Unfortunately, just looking at the number of likes doesn’t give you a comprehensive analysis of customer sentiment. For that, you need to analyze each post independently to understand the emotional sentiment behind them. But, with so much data to comb through, manual analysis is practically impossible. That’s where AI text analysis tools come in.

With an effective AI text analysis tool, businesses and organizations can effectively derive insights from text data, including social media posts, reports, and other text documents. However, finding a reliable AI text analysis tool can take tremendous time and effort. So, to make things easier for you, here’s a detailed comparison of some of the best AI text analysis tools in 2023.

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What is an AI text analysis tool?

AI text analysis tools are AI-powered software that use machine learning and NLP technologies to comb through huge volumes of text data to extract deep, qualitative insights that can be used to inform business decisions.

This makes AI text analysis tools especially suitable for analyzing unstructured data from social media posts, live chat history, surveys, and reviews.

Top 18 AI text analysis tools


ContextClue streamlines document research by summarizing content (not just textual one), simplifying complex topics, and extracting information requested by the user.

It enables you to upload and analyze files in various formats and ensures full security of the analyzed content. What’s especially important, ContextClue supports multiple language models, not just those based on ChatGPT.

contextclue - ai text analysis tool - how it works

However, there are 17 other tools worth your attention. Let’s have a look at them.

There are two ways to get an AI text analysis tool: build it yourself or find a reliable tool on the market. We’ll go with the latter since the former requires extensive research, time, and a dedicated in-house team for development and deployment. That said, here are some of the best AI text analysis tools to look out for:


The Cohere AI text analysis tool is arguably one of the best on the market. It has diverse capabilities, including sentiment analysis, summarization, entity recognition, content categorization, and more.

The tool utilizes various AI-driven technologies, including machine learning and natural language processing, to understand text data and derive actionable insights in various forms, including reports, graphs, and other forms of visual representation.

Kofax AI

Kofax is one of the leading companies in document automation and robotic process automation (RPA) solutions. Therefore, it is no surprise that it offers one of the best AI text analysis tools.

Kofax AI utilized AI-driven technologies like natural language processing to understand, process, and analyze text data.

The AI tool has many applications, including sentiment analysis, entity recognition, intent classification, content summarization, language translation, and data extraction. It also comes equipped with various capabilities, including multilingual support, customizable options for fine-tuning, API integrations, and real-time analysis for near-instantaneous insights.


Since it was founded in 2018, Docugami has been at the forefront of creating SaaS solutions that harness the power of AI. It uses technologies like natural language processing, declarative markup, image recognition, and other approaches to enable businesses to radically improve how they manage their text documents.

Like most text analysis tools, Docugami integrates seamlessly with other tools, offers real-time analysis, and analyzes text in multiple languages. It’s also quite easy to use.

Read more about AI-Powered OCR (Optical Character Recognition)


Glean is one of the best AI tools for quickly and accurately locating information on any document or website. The analytics tool uses deep learning-based LLMs to understand natural language queries and constantly learns from your company’s unique language and context to provide more relevant results.

Glean AI can extract important details, summaries, and insights from any text data source. You can also customize and categorize your research for easier distribution.


Onfido AI is quite different from the other tools on this list. It is not necessarily a text analysis tool but rather an identity verification tool that can also work with documents. Essentially, the AI tool is designed to help businesses and organizations verify the identities of individuals digitally.

It does this by leveraging computer vision and machine learning technologies through Atlas AI to authenticate users based on facial recognition and identity documents. This makes Onfido especially suitable for fraud prevention, KYC compliance, secure access to digital spaces, and age verification.


Vectara is an efficient website and app search platform that utilizes LLM and ML technologies to index, retrieve, and calibrate text data on different documents. The AI tool for text analysis can extract data from different types of text documents, including PDFs, JSON, XML, HTML, CommomMark, and many other formats.

Vectara can effectively understand language and encode text at scale through cutting-edge zero-shot models that utilize deep learning networks. It also segments data into indexes that store vector encodings optimized for high recall and low latency. The result is facts document analysis at scale, without sacrificing accuracy.


CaseText, through its specialized legal AI text analysis tool, CoCouncel, provides one of the market’s most reliable text analysis tools. CoCouncel prides itself as the first AI legal assistant capable of performing several critical tasks such as document review, deposition preparation, legal research memos, and contract analysis.

CoCouncel works on the GPT-4 framework – the same model that outperformed real bar candidates shortly after launch. [4] With this tool, lawyers and other professionals in the legal field can input an issue, add relevant information such as jurisdiction, and receive an accurate answer with all relevant supporting evidence within seconds.


BrainyPDF is a revolutionary AI tool that lets you chat with any PDF document. The AI tool enables students, researchers, and other professionals to find answers and other relevant information within documents through a chat-like interface. This way, all you need to do is drop your PDF document and ‘chat’ with it as if you were chatting with an AI assistant.

The text analysis tool also comes equipped with several other beneficial features, including multilingual support and accurate answers backed by sources in the original document, which ensures credibility.

Read more: How AI is revolutionizing document analysis: A comprehensive guide


Unriddle is an AI text analysis tool based on the GPT-4 model. The tool enables you to analyze and interact with text documents like PDFs on a chat-like interface for easy understanding.

Once you upload a PDF document on the Unriddle platform, you’re prompted to ask the document a question. You can also follow the suggested queries presented by the tool or paste your own questions or text. The tool uses ML and natural language processing technologies to streamline the information access process, thus shortening research time and accelerating decision-making.

Tavily AI

Tavily AI is an AI-powered research tool that helps users conduct comprehensive, automated, and accurate research. Unlike most tools on the list, which analyze uploaded documents, Tavily AI does things a little differently by gathering information from relevant sources, organizing search results, and delivering actionable insights directly to your inbox in minutes.

The platform is designed to streamline the research process, enabling you to focus on your questions and objectives while it takes care of the rest. It also supports collaboration, making it an excellent tool for individuals and organizations alike.


Writer is a revolutionary AI writing assistant tool that combines the capabilities of generative AI with AI detection functions and a plagiarism checker. Unlike most tools in its class, Writer integrates seamlessly with various third-party services like Figma, Chrome, and Contentful.

It also offers added convenience by enabling you to input a page’s URL, eliminating the need for manual text input. When you enter a page’s URL, the tool automatically extracts the first 1500 characters and performs an AI content analysis, giving you all the relevant information pertaining to your search.


PopAI works much like our previous pick but with a twist. Besides functioning as an AI writing assistant, PopAI has an on-page optimization tool designed to revolutionize the SEO production process and streamline your content production workflow. This makes it an invaluable tool for digital marketers and content creators who often have difficulty optimizing AI-generated content.

The tool combines the advanced AI writing capabilities of the GPT-4 model with the robust data analytics capabilities of PageOptimizer Pro. This enables it to generate titles, headings, and body content for a wide array of written content and optimize them on the fly. It can also optimize existing content when you upload it directly to the platform.


Petal is a text analysis tool that combines document analysis with an AI-driven knowledge management system, enabling you to actively engage with the content through AI-driven conversations on a chat-like interface.

This unique approach enables you to extract valuable insights from text documents by going beyond simple keyword searches and providing accurate interpretations for detailed answers and a nuanced understanding of content.

Besides document analysis, Petal supports collaboration and teamwork by enabling users to share comments, highlight key points, and use AI to explain complex ideas. It also offers a centralized storage location for all essential documents and streamlines the document management process even further by offering automatic file deduplication, metadata extraction, and technical support for technical and scientific papers.


AskYourPDF is a ChatGPT-powered tool that enables you to upload PDF documents and retrieve useful information in seconds. Once uploaded, you can ‘chat’ with your document and ask relevant questions. Basically, it plays the role of a teacher by enhancing your understanding of complex content within the document.

This easy-to-use text analysis tool also supports other file types, including TXT, PPT, and CSV. The upload file size is capped at 40MB, which may be limiting for organizations with large files. On the bright side, the tool is completely free to use and facilitates easy sharing by generating unique URLs for analyzed documents.


Stonly is an AI-powered digital adoption platform that helps businesses and organizations engage and retain customers through gamification. This revolutionary platform enables administrators to create and manage customer loyalty programs to build loyalty by rewarding customers for purchases.

With Stonly, managers can collect actionable customer feedback through surveys and net promoter scores (NPSs). The platform also provides an interactive tutorial, including step-by-step instructions, helpful visuals, and intuitive navigation to guide customers through the completion of tasks.


Trainmyai is a suite of single webpage applications for training and customizing ChatGPT and GPT-3 through the OpenAI API. The platform uses AI to answer questions based on a defined set of information using an approach called retrieval augmented generation (RAG).

The approach combines the conversational ability of LLMs with a given set of references. This eliminates the LLM hallucinations issue and ensures that all answers are grounded and reliable.
With Trainmyai, you can train models by uploading content as text, PDFs, web pages, and Word files via the API. The platform splits the content into paragraphs and allows you to tweak, disable, or remove those paragraphs as you wish. The platform then calculates the embedding for each paragraph and stores the embeddings in a database on your server.

Trainmyai also comes with many other beneficial features, including support for multiple language bases, fine-grained user management, an API for integration into mobile or other applications, and extensive customization for HTML pages and AI parameters. [5]


Odin Answers is an AI-powered document analysis platform that uses machine learning and advanced statistics to find relationships and patterns in structured and unstructured data. The tool can effectively track and identify emotion and sentiment, including psychological attributes like trust, anger, and fear.

Odin also combines text analysis with accompanying structured data to increase sentiment classification accuracy. The tool provides reliable reports through tables, charts, and more advanced data visualization options. The embedded API can also upload, sort, and combine data and automatically code and analyze key drivers.

Best AI Text Analysis Tools – FAQ

  • What is AI text analysis?

AI text analysis refers to the process of using artificial intelligence technologies, including machine learning, Gen AI and natural language processing (NLP), to analyze text data. This process helps in extracting meaningful information, sentiments, and insights from large volumes of text, making it easier for businesses and organizations to understand and act upon the data they collect.

  • How does AI text analysis benefit businesses?

AI text analysis benefits businesses by enabling them to process and analyze vast amounts of unstructured text data efficiently. This analysis can reveal customer sentiments, trends, and patterns that inform decision-making, improve customer service, enhance product development, and drive marketing strategies. It’s a powerful tool for gaining a competitive edge and understanding market dynamics.

  • Can AI text analysis tools handle data in multiple languages?

Yes, many AI text analysis tools are designed to support multiple languages. This capability allows businesses to analyze text data from diverse sources and global markets. Tools like ContextClue and others mentioned in the article offer multilingual support, making them suitable for international operations.

  • Is it possible to customize AI text analysis tools according to specific business needs?

Yes, several AI text analysis tools offer customizable options that allow businesses to tailor the analysis to their specific needs. This customization can include setting up specific parameters for sentiment analysis, entity recognition, or content categorization, among others. Some tools also provide API integrations for further customization and integration with existing business systems.

  • How secure is the data analyzed by AI text analysis tools?

Data security is a critical concern for AI text analysis tools, and reputable providers implement stringent security measures to protect the data. This includes encryption, secure data storage, and compliance with privacy regulations such as GDPR. It’s important to review the security policies of any AI text analysis tool before implementation to ensure it meets your organization’s security standards.

  • How does AI text analysis compare to manual text analysis?

AI text analysis is significantly faster and more efficient than manual text analysis, especially when dealing with large volumes of data. While manual analysis can be subjective and limited by human capacity, AI analysis can process vast amounts of data quickly, identify patterns and sentiments that might be missed by humans, and provide quantitative insights that are difficult to achieve manually.

  • What should I consider when choosing an AI text analysis tool?

When choosing an AI text analysis tool, consider factors such as the types of analysis it offers (e.g., sentiment analysis, entity recognition), language support, integration capabilities with your existing systems, customization options, security measures, and the tool’s overall reputation and reviews. It’s also beneficial to consider the tool’s scalability to ensure it can grow with your business needs.


Final thoughts

Text analysis tools are revolutionizing how businesses and individuals process complex text data. Besides being cost-effective and hassle free, thanks to machine learning, they also let you accurately analyze customer data in no time. If you’re having a hard time choosing the right text analysis software for your business, you can use this guide to limit your options and hopefully help you settle for one that meets your needs.

The article is an updated version of the publication from Oct. 13, 2023


[1] Number of Worldwide Social Network Users. URL: Accessed October 16, 2023
[2] Digital 2023: Global Overview Report. URL: Accessed October 16, 2023
[3] Daily Social Media Usage Worldwide. URL: Accessed October 16, 2023
[4] GPT-4 Beats 90% Of Lawyers Trying to Pass the Bar. URL: Accessed October 16, 2023
[5] How it Works. URL:  Accessed October 16, 2023


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