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Head-to-head · Text Analysis Software

Lexalytics vs Chattermill

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Lexalytics #6 in Text Analysis Software 8.3/10 Pricing on request ✓ 2 of 3 features Visit Lexalytics
Chattermill #7 in Text Analysis Software 8.1/10 Pricing on request ✓ 1 of 3 features Visit Chattermill

Lexalytics leads on 0 checks, Chattermill on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreLexalytics · 8.3/10
  • Most featuresLexalytics · 2 of 3

Lexalytics scores higher on our rubric for text analysis software: 8.3 against 8.1 out of 10; our editors rank them #6 and #7.

Lexalytics is the better fit for mid-market and enterprise NLP programs. Chattermill is the better fit for enterprises analyzing customer feedback at scale.

  • Lexalytics fits best

    Mid-market and enterprise NLP programs

  • Chattermill fits best

    Enterprises analyzing customer feedback at scale

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Side by side

Feature Lexalytics 8.3/10 Visit ↗ Chattermill 8.1/10 Visit ↗
At a glance
Editor score 8.3 8.1
Ranking #6 in Text Analysis Software #7 in Text Analysis Software
Best for Mid-market and enterprise NLP programs Enterprises analyzing customer feedback at scale
Pricing model Paid Paid
Starting price Pricing on request Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Email, Docs Email, Live chat, Docs
Compliance GDPR, HIPAA SOC 2, ISO 27001, GDPR, SSO/SAML, 2FA
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Lexalytics 2/3 · Chattermill 1/3
Sentiment analysis ✓ ✓
Topic modeling Not checked yet Not checked yet
Entity extraction ✓ (best) Not checked yet
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
  • 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
  • Combines feedback from surveys, reviews, social, support conversations, and calls
  • Connects themes and sentiment to business metrics, with alerts for anomalies
  • Integrates with CX tools, data platforms, and AI agents
Cons
  • 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
  • Custom pricing requires a conversation with sales
  • Mid-market and enterprise focus may not suit smaller teams
  • Broad feedback analysis may be more than teams with narrow needs require
Our verdict

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 →

Chattermill brings customer feedback from surveys, reviews, social media, support conversations, calls, and other channels into one analysis workflow. CX, Voice of Customer, product, support, and operations teams can use AI classification…

Read the review →
  1. LexalyticsText Analysis Software 8.3Pricing on request
  2. ChattermillText Analysis Software 8.1Pricing on request

Strengths and trade-offs

  • 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
  • Chattermill — where it wins

    • Combines feedback from surveys, reviews, social, support conversations, and calls
    • Connects themes and sentiment to business metrics, with alerts for anomalies
    • Integrates with CX tools, data platforms, and AI agents

    Where it doesn't

    • Custom pricing requires a conversation with sales
    • Mid-market and enterprise focus may not suit smaller teams
    • Broad feedback analysis may be more than teams with narrow needs require

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update