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Head-to-head · Text Analysis Software

MAXQDA vs Lexalytics

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score MAXQDA #1 in Text Analysis Software 9.3/10 14-day trial Free trial✓ 2 of 3 features Visit MAXQDA
Lexalytics #6 in Text Analysis Software 8.3/10 Pricing on request ✓ 2 of 3 features Visit Lexalytics

MAXQDA leads on 0 checks, Lexalytics on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreMAXQDA · 9.3/10
  • Free trialonly MAXQDA

MAXQDA scores higher on our rubric for text analysis software: 9.3 against 8.3 out of 10; our editors rank them #1 and #6.

Lexalytics offers entity extraction; MAXQDA doesn't.

MAXQDA is the better fit for established qualitative and mixed-methods teams. Lexalytics is the better fit for mid-market and enterprise NLP programs.

  • MAXQDA fits best

    Established qualitative and mixed-methods teams

  • Lexalytics fits best

    Mid-market and enterprise NLP programs

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Side by side

Feature MAXQDA 9.3/10 Visit ↗ Lexalytics 8.3/10 Visit ↗
At a glance
Editor score 9.3 8.3
Ranking #1 in Text Analysis Software #6 in Text Analysis Software
Best for Established qualitative and mixed-methods teams Mid-market and enterprise NLP programs
Pricing model Paid Paid
Starting price — Pricing on request
Free plan — Not checked yet
Free trial 14 days —
Deployment Desktop, Self-hosted Cloud, Self-hosted
Platforms Windows, macOS Web
Support Phone, Email, Tickets, Docs, Live chat · 24/7 Email, Docs
Compliance GDPR GDPR, HIPAA
Built for Solo, Small business, Mid-market, Enterprise Mid-market, Enterprise
Features MAXQDA 2/3 · Lexalytics 2/3
Sentiment analysis ✓ ✓
Topic modeling ✓ (best) Not checked yet
Entity extraction — ✓ (best)
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 qualitative coding, quantitative text analysis, and statistical tools.
  • Analyzes text, PDFs, surveys, audio, and video, with transcription support.
  • AI features include document chat, coding, summaries, and topic analysis.
  • 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 software is limited to Windows and macOS.
  • No free plan; access is through paid plans with a 14-day trial.
  • Its breadth may exceed the needs of teams focused only on basic text analysis.
  • 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

MAXQDA is desktop software for qualitative, quantitative text, and mixed-methods analysis. It is aimed at researchers, universities, research institutions, and corporations that need to work across sources such as text, PDFs, survey…

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. MAXQDAText Analysis Software 9.314-day trial
  2. LexalyticsText Analysis Software 8.3Pricing on request

Strengths and trade-offs

  • MAXQDA — where it wins

    • Combines qualitative coding, quantitative text analysis, and statistical tools.
    • Analyzes text, PDFs, surveys, audio, and video, with transcription support.
    • AI features include document chat, coding, summaries, and topic analysis.

    Where it doesn't

    • Desktop software is limited to Windows and macOS.
    • No free plan; access is through paid plans with a 14-day trial.
    • Its breadth may exceed the needs of teams focused only on basic text analysis.
  • 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