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Head-to-head · Text Analysis Software

QDA Miner vs Lexalytics

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score QDA Miner #5 in Text Analysis Software 8.4/10 14-day trial Free trial✓ 2 of 3 features Visit QDA Miner
Lexalytics #6 in Text Analysis Software 8.3/10 Pricing on request ✓ 2 of 3 features Visit Lexalytics

QDA Miner 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 scoreQDA Miner · 8.4/10
  • Free trialonly QDA Miner

QDA Miner scores higher on our rubric for text analysis software: 8.4 against 8.3 out of 10; our editors rank them #5 and #6.

QDA Miner is the better fit for qualitative teams needing coding plus text analytics. Lexalytics is the better fit for mid-market and enterprise NLP programs.

  • QDA Miner fits best

    Qualitative teams needing coding plus text analytics

  • Lexalytics fits best

    Mid-market and enterprise NLP programs

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Side by side

Feature QDA Miner 8.4/10 Visit ↗ Lexalytics 8.3/10 Visit ↗
At a glance
Editor score 8.4 8.3
Ranking #5 in Text Analysis Software #6 in Text Analysis Software
Best for Qualitative teams needing coding plus text analytics Mid-market and enterprise NLP programs
Pricing model Paid Paid
Starting price 14-day trial Pricing on request
Free plan — 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 Solo, Small business, Mid-market, Enterprise Mid-market, Enterprise
Features QDA Miner 2/3 · Lexalytics 2/3
Sentiment analysis ✓ ✓
Topic modeling Not checked yet Not checked yet
Entity extraction ✓ ✓
Specs
Supported languages 68 Not checked yet
Text input sources Not checked yet Not checked yet
Export formats Not checked yet Not checked yet
Our review
Pros
  • Imports documents, survey data, email and visual materials
  • Combines manual coding with AI-assisted retrieval and thematic analysis
  • Supports team project merging, synchronization and inter-rater assessment
  • 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 cloud-native workflow
  • Paid product; the trial has post-trial limitations
  • Its broad analysis toolkit may be more than teams need for simple coding
  • 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

QDA Miner is desktop qualitative data analysis software from Provalis Research for researchers working with interviews, focus groups, legal documents, articles, open-ended responses and visual materials. It brings source import, coding,…

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. QDA MinerText Analysis Software 8.414-day trial
  2. LexalyticsText Analysis Software 8.3Pricing on request

Strengths and trade-offs

  • QDA Miner — where it wins

    • Imports documents, survey data, email and visual materials
    • Combines manual coding with AI-assisted retrieval and thematic analysis
    • Supports team project merging, synchronization and inter-rater assessment

    Where it doesn't

    • Desktop deployment may not suit teams seeking a cloud-native workflow
    • Paid product; the trial has post-trial limitations
    • Its broad analysis toolkit may be more than teams need for simple coding
  • 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