AI-powered customer feedback analytics platform that discovers themes without predefined categories
19 tools compared
Best Text Analysis Software
Text Analysis Software is a category of tools that analyze text to extract meaning, sentiment, topics, and insights using AI. They are used by researchers and businesses that want to understand large volumes of text.
More about Text Analysis Software
On this page you can browse and compare the best Text Analysis Software options side by side by features, pricing, integrations, and verified user reviews. Use the list below to shortlist the tools that best match your workflow, requirements, and budget.
Text Analysis Software Compared
Compare the 10 most relevant Text Analysis Software options on price, free trial and deployment.
| Product | Starting price | Free trial | Free plan | API | Deployment |
|---|---|---|---|---|---|
| | Not published | ✓ | ✓ | – | Cloud Based |
| | $1,060 | ✓ | – | – | Cloud Based |
| | $9 | – | ✓ | ✓ | Cloud Based, On Premises, Hybrid |
| | Free | – | ✓ | ✓ | Cloud Based, On Premises |
| | Custom | – | – | ✓ | Cloud Based, On Premises |
| | Custom | – | – | ✓ | Cloud Based |
| | Custom | – | – | ✓ | Cloud Based |
| | Custom | – | – | ✓ | Cloud Based |
| | $0.15 / 1M input tokens, $0.60 / 1M output tokens | ✓ | ✓ | ✓ | Cloud Based, On Premises, Hybrid |
| | $0.0001-$0.002/unit | ✓ | ✓ | ✓ | Cloud Based |
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19 Best Text Analysis Software Options
Thematic is a customer intelligence platform that analyzes open-ended feedback from surveys, support tickets, reviews, calls, and social media to surface themes without requiring predefined categories. Its Theming Agent reads feedback and discovers emerging patterns directly from customer language, tracing every theme back to the original comments, while its Scoring Agent predicts NPS, churn risk, and effort scores from unstructured text. A natural language interface called Answers lets non-technical users query the feedback data directly.
Thematic is sold on annual contracts rather than public self-serve pricing, with a published Foundation plan starting at $25,000 per year covering up to 25,000 comments and three datasets, and a custom Enterprise tier for larger volumes. It targets customer experience, product, and insights teams at mid-size and large organizations.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all Thematic Features- Unsupervised AI theme discovery from raw feedback
- Sentiment analysis with traceability to source comments
- Thematic Answers natural language query interface
- Scoring Agent for predicted NPS, churn, and effort scores
- Unified data from surveys, tickets, calls, reviews, and social
- Dashboards and role-based access controls
- Multi-language feedback translation
- API and one-click platform integrations
Pricing
Thematic Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
AI-powered API for extracting sentiment, entities, keywords, and emotion from text
IBM Watson Natural Language Understanding is a cloud API that uses deep learning to analyze unstructured text and return sentiment, emotion, entities, keywords, categories, relations, and syntax. Sentiment can be scored for entire documents, individual entities, or specific keywords, and supports multiple languages including English, Spanish, French, German, Japanese, Korean, and Portuguese. Custom entity and relation models can be trained using Watson Knowledge Studio for domain-specific extraction needs.
Pricing follows a usage-based model on IBM Cloud. The Lite plan is free and includes 30,000 NLU items per month with one custom model, suspending until the next calendar month once exceeded. The Standard plan starts at $0.003 per item for up to 250,000 items monthly, drops to $0.001 per item between 250,000 and 5 million items, and falls to $0.0002 per item beyond 5 million, with custom relations/entities models priced at $800 and custom classification models at $25.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all IBM Watson NLU Features- Sentiment analysis at document, entity, and keyword level
- Named entity recognition for people, places, and events
- Keyword extraction with relevance scoring
- Emotion detection (joy, anger, sadness, fear)
- Category and content classification
- Syntax and relation analysis between concepts
- Custom model training via Watson Knowledge Studio
- REST API with SDKs for major programming languages
Pricing
IBM Watson NLU Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
NLP and text analytics platform for sentiment, entity, and theme extraction
Lexalytics is a natural language processing and text analytics company, acquired by customer experience company InMoment in September 2021, that still operates its own branded product site. Its technology extracts sentiment, named entities, categories, intentions, and document summaries from unstructured text such as reviews, surveys, and social media, supporting 29 languages with pre-built configurations for industries like hotels, restaurants, retail, and pharma.
The product line includes Salience, an on-premises NLP software library for teams needing full technical control or data privacy; Semantria, a cloud-based REST API with configuration and management tools; and Spotlight, a document management and analytics platform. Lexalytics does not publish pricing on its website and instead directs prospects to request a demo or contact sales, so this listing's pricing could not be independently verified from an official source.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
- Document, entity, and aspect-level sentiment analysis
- Named entity extraction (people, places, companies, products)
- Categorization and topic/theme extraction
- Intention detection for customer and reviewer intent
- Automated document summarization
- Support for 29 languages
- On-premises (Salience) and cloud API (Semantria) deployment options
- Industry-specific pre-built configurations
Pricing
Lexalytics (InMoment) Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
AWS managed NLP service for sentiment, entities, and custom text classification
Amazon Comprehend is an AWS managed natural language processing service that uses machine learning to find insights in text without requiring users to build models from scratch. It offers sentiment analysis, entity recognition, key phrase extraction, language detection, syntax analysis, PII detection and redaction, and toxicity detection through simple API calls. Custom classification and custom entity recognition let teams train their own models on labeled data using AutoML.
Pricing is pay as you go, billed per 100-character unit, with a free tier covering 50,000 units per API each month for the first 12 months. Custom model training and hosted inference endpoints are billed separately by the hour or second. Comprehend targets developers and enterprises already using AWS who want to add text analytics to applications, pipelines, or support workflows.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all Amazon Comprehend Features- Sentiment analysis (positive, neutral, negative, mixed)
- Entity recognition
- Key phrase extraction
- Language detection
- Syntax analysis
- PII detection and redaction
- Toxicity and prompt safety detection
- Custom classification and custom entity recognition via AutoML
- Topic modeling for document collections
Pricing
Amazon Comprehend Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
AI platform combining psychology and NLP to analyze personality, sentiment, and emotion in text
Symanto is a German company that combines natural language processing with psychological profiling to analyze customer and employee text data. Its Symanto Brain AI engine, pretrained on billions of text excerpts, powers personality trait analysis based on Jungian psychological types, sentiment and emotion detection, and psychographic segmentation that groups consumers into categories such as loyalists, ambassadors, critics, and at-risk. The company offers this through an API, the Symanto Insights Platform, and an instant model generator, plus the newer SymantoAssist AI customer experience product, across more than 50 languages.
Symanto does not publish pricing on its website. Packages are customized and quoted individually after contacting its support team, and third-party sources describe its pricing as premium relative to general-purpose text analysis APIs, reflecting its specialized psycholinguistic models.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all Symanto Features- Psychographic segmentation (loyalist, ambassador, critic, at-risk)
- Personality trait analysis based on Jungian psychological types
- Sentiment and emotion detection in text
- Symanto Brain AI engine pretrained on billions of text excerpts
- Support for 50+ languages
- API, insights platform, and instant model generator options
- 75+ review site integrations (Amazon, Google, TripAdvisor, Trustpilot)
- SymantoAssist empathetic AI customer experience agents
Pricing
Symanto Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
Microsoft's cloud NLP service for sentiment, entities, PII, summarization, and custom text AI
Azure AI Language is Microsoft's cloud based natural language processing service, part of Azure AI Foundry tools. It provides prebuilt capabilities including sentiment analysis, key phrase extraction, language detection, named entity recognition, PII detection and redaction, text summarization, and question answering, alongside customizable options like conversational language understanding, custom text classification, and custom named entity recognition built through Language Studio without requiring machine learning expertise.
Pricing is usage based and billed per text record, a unit equal to 1,000 characters of input. Sentiment analysis, key phrase extraction, language detection, summarization, question answering, NER, and conversational language understanding all share 5,000 free text records per month. Paid usage runs on tiered per-record rates with volume discounts, plus commitment tiers for high-volume customers, and containers are available for on-premises or disconnected deployment.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all Azure AI Language Features- Sentiment analysis and opinion mining
- Key phrase extraction and language detection
- Named entity recognition (NER) and PII detection/redaction
- Text and conversation summarization, including call center summarization
- Custom text classification and custom named entity recognition
- Conversational language understanding (CLU) and orchestration workflow
- Text analytics for health
- Question answering with Azure AI Search integration
- On-premises deployment via Docker containers
Pricing
Standard (pay-as-you-go)
From $0.25 to $1 per 1,000 text records
Tiered by monthly volume (0-0.5M down to 10M+)
Azure AI Language Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
Former no-code text analytics platform, now acquired and folded into Medallia Experience Cloud
MonkeyLearn was a cloud based, no-code text analytics platform that let businesses build custom classifiers and extractors for sentiment analysis, topic detection, keyword extraction, and intent classification, alongside dashboards for NPS, CSAT, and Voice of Customer reporting. As of this research, monkeylearn.com redirects (HTTP 301) directly to medallia.com, indicating the product has been acquired by and merged into Medallia Experience Cloud. No independent MonkeyLearn pricing page, sign-up flow, or product site could be found.
Because the standalone product no longer appears to be operating, current pricing and feature details cannot be verified from an official source. Historical third-party listings mentioned pricing starting near $299 per month with no free plan, but this could not be confirmed on any current MonkeyLearn or Medallia page and should be treated as unverified.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all MonkeyLearn Features- No-code custom classifiers and extractors (historical)
- Sentiment analysis, topic detection, and intent classification (historical)
- Keyword and entity extraction (historical)
- Pre-trained and custom-trained ML models (historical)
- Data visualization dashboards and reporting (historical)
- NPS, CSAT, and Voice of Customer analytics (historical)
- Zapier and API integrations (historical)
Pricing
MonkeyLearn Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
AI-native Voice of Customer platform that unifies and analyzes feedback across every channel
Chattermill is a customer experience intelligence platform used by companies like Uber, H&M, HelloFresh, and Booking.com to unify feedback from surveys, product reviews, support tickets, social media, and voice calls into one view. Its AI analyzes unstructured feedback in any language to surface themes, sentiment, and root causes, links them to metrics like NPS, CSAT, and revenue, and pushes real-time alerts to tools like Slack, Jira, and Notion. The platform connects through 50+ native integrations and an MCP server.
Chattermill does not publish fixed prices. It offers three published tiers, Pro, Team, and Enterprise, that scale by number of data source integrations and monthly data credits (10,000 up to 100,000+), each requiring a custom quote. The platform does not charge per user, and recommends at least 5,000 pieces of feedback per month to justify the investment.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all Chattermill Features- Unified feedback analysis across surveys, reviews, support tickets, social, and calls
- AI-driven theme detection and sentiment analysis in any language
- NPS, CSAT, and CES metric tracking linked to insights
- Real-time alerts for spiking negative themes
- 50+ native integrations plus an MCP server
- Custom dashboards and reporting
- Data anomaly detection and denoising
- Dedicated Customer Success Manager and onboarding
Pricing
Chattermill Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
Sentiment analysis and NLP technology now folded into Sprout Social's platform
Repustate was an independent sentiment analysis and natural language processing company based in Toronto, offering text and video sentiment analysis, semantic search, and named entity recognition natively in 23 languages. Sprout Social acquired Repustate in January 2023 to strengthen its social listening and customer care analytics. As of this research, the standalone repustate.com website redirects directly to sproutsocial.com, confirming Repustate no longer operates as an independent product.
Repustate's underlying technology has been folded into Sprout Social's platform, powering features such as AI-driven listening and query suggestions rather than being sold as a separate line item. Because there is no current standalone Repustate offering, no independent pricing exists; access to this technology now comes through a Sprout Social subscription rather than a Repustate-specific plan.
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
- Text sentiment analysis (legacy)
- Video content sentiment analysis (TikTok, Douyin, YouTube, Twitch, Instagram)
- Semantic search
- Named entity recognition
- Native support for 23 languages without translation
- No-code sentiment extraction tools
- Now integrated into Sprout Social's AI-powered social listening
Pricing
Repustate (Sprout Social) Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
Text Analysis Software Buyer's Guide
Comparing Text Analysis Software is easier once you stop ranking features and start checking which product assumes your workflow. Read on for the capabilities that matter, who tends to buy, how pricing works, and how to test properly.
What is Text Analysis Software?
Text Analysis Software helps teams keep the records, scheduling and billing behind text analysis work in a single place instead of scattered files. Most of the benefit comes from holding one current record rather than several partial ones kept by different people. What separates the stronger tools is holding up as your process gets more demanding, not how they demo.
Key features to look for in Text Analysis Software
The right feature set depends on your situation, but capable Text Analysis Software options generally cover the following.
- Records and profiles built around text analysis work
- Scheduling and capacity planning
- Workflow stages matching how text analysis operations actually run
- Invoicing and payment handling
- Document storage and compliance records
- Customer and contact communication
- Reporting on the measures that matter in text analysis work
- Role based access for different staff types
Benefits of using Text Analysis Software
The practical benefits of Text Analysis Software suited to your process generally include:
- Workflows that match text analysis operations instead of a generic process
- Less adaptation of general purpose software to a specialist job
- Records and terminology that fit the field
- Compliance and record keeping handled in one place
- Reporting on measures that are actually relevant
Who uses Text Analysis Software?
Text Analysis Software is used by owners and managers in text analysis work, administrative staff, and the frontline teams delivering it. Scale matters less than process fit, since a product built around a different workflow will fight you regardless of size.
How to choose the right Text Analysis Software
When comparing Text Analysis Software, weigh these factors:
- How closely the workflow matches your own text analysis operation
- Whether sector specific compliance requirements are covered
- The size of operation the product is genuinely designed for
- Data migration from whatever you use today
- How responsive the vendor is to requests specific to this field
Run a short trial on actual work with the actual users. Demos are built to succeed; your own cases are not.
How much does Text Analysis Software cost?
Text Analysis Software is usually priced per user or per location each month, with tiers reflecting the size of the operation. Costs commonly run higher than general software, which is what a specialist market usually looks like. Price it against next year’s volume, and verify which features you need are actually included at that tier.
FAQs of Text Analysis Software
Text Analysis Software handles the day to day paperwork of text analysis work, keeping customer records, scheduling and payment in one place.
General tools need adapting to text analysis workflows and rarely cover the terminology or compliance involved, which is what Text Analysis Software is built around.
Scale assumptions vary widely across Text Analysis Software, so ask any vendor what a typical text analysis customer of theirs actually looks like.
Text Analysis Software vendors differ on migration, so confirm the import path for your current text analysis records rather than assuming it is included.
Text Analysis Software pricing is commonly per seat or per site and tiered by scale, so budget above what a general purpose text analysis tool would cost.
Trial Text Analysis Software against real text analysis work rather than a vendor demo, and involve the staff who will use it daily.