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Head-to-head · Text Analysis Software

WordStat vs Lexalytics

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score WordStat #4 in Text Analysis Software 8.6/10 14-day trial Free trial✓ 3 of 3 features Visit WordStat
Lexalytics #6 in Text Analysis Software 8.3/10 Pricing on request ✓ 2 of 3 features Visit Lexalytics

WordStat leads on 0 checks, Lexalytics on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreWordStat · 8.6/10
  • Free trialonly WordStat
  • Most featuresWordStat · 3 of 3

WordStat scores higher on our rubric for text analysis software: 8.6 against 8.3 out of 10; our editors rank them #4 and #6.

WordStat is the better fit for analysts needing advanced text mining and classification. Lexalytics is the better fit for mid-market and enterprise NLP programs.

  • WordStat fits best

    Analysts needing advanced text mining and classification

  • Lexalytics fits best

    Mid-market and enterprise NLP programs

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Side by side

Feature WordStat 8.6/10 Visit ↗ Lexalytics 8.3/10 Visit ↗
At a glance
Editor score 8.6 8.3
Ranking #4 in Text Analysis Software #6 in Text Analysis Software
Best for Analysts needing advanced text mining and classification Mid-market and enterprise NLP programs
Pricing model Paid Paid
Starting price 14-day trial Pricing on request
Free plan Not checked yet Not checked yet
Free trial 14 days —
Deployment Desktop Cloud, Self-hosted
Platforms Windows, macOS, Linux Web
Support Email, Phone, Docs Email, Docs
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features WordStat 3/3 · Lexalytics 2/3
Sentiment analysis ✓ ✓
Topic modeling ✓ (best) Not checked yet
Entity extraction ✓ ✓
Specs
Supported languages Not checked yet Not checked yet
Text input sources Not checked yet Not checked yet
Export formats Not checked yet Not checked yet
Our review
Pros
  • Combines topic modeling, classification, and named-entity extraction
  • Supports AI-assisted sentiment, summarization, topic, and entity analysis
  • Connects with QDA Miner, SimStat, Stata, and research tools
  • Analyzes sentiment, intent, entities, categories, summaries, and language
  • Offers cloud and self-hosted deployment, including REST API access
  • Supports customizable tuning and machine-learning models
Cons
  • Desktop deployment may not suit teams seeking a web-based workflow
  • Paid product with a 14-day trial that becomes limited afterward
  • Its range of methods may exceed the needs of straightforward text review
  • Pricing requires contacting sales
  • Multiple products may require buyers to assess fit across the portfolio
  • Positioned for mid-market and enterprise rather than smaller teams
Our verdict

WordStat is desktop text-analysis software from Provalis Research for researchers, analysts, and organizations working with large collections of unstructured text. It brings together exploratory text mining, topic modeling,…

Read the review →

Lexalytics turns unstructured documents into structured insights through natural-language processing and text analytics. Its portfolio is aimed at mid-market and enterprise programs analyzing customer, employee, market-research,…

Read the review →
  1. WordStatText Analysis Software 8.614-day trial
  2. LexalyticsText Analysis Software 8.3Pricing on request

Strengths and trade-offs

  • WordStat — where it wins

    • Combines topic modeling, classification, and named-entity extraction
    • Supports AI-assisted sentiment, summarization, topic, and entity analysis
    • Connects with QDA Miner, SimStat, Stata, and research tools

    Where it doesn't

    • Desktop deployment may not suit teams seeking a web-based workflow
    • Paid product with a 14-day trial that becomes limited afterward
    • Its range of methods may exceed the needs of straightforward text review
  • Lexalytics — where it wins

    • Analyzes sentiment, intent, entities, categories, summaries, and language
    • Offers cloud and self-hosted deployment, including REST API access
    • Supports customizable tuning and machine-learning models

    Where it doesn't

    • Pricing requires contacting sales
    • Multiple products may require buyers to assess fit across the portfolio
    • Positioned for mid-market and enterprise rather than smaller teams

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update