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TextAnalyzer review

Free#28 of 37 in Text Analytics Software

A focused free tool for spreadsheet-based English text analysis and tabular exports.

6.5/10Editor score
TextAnalyzer6.5 Visit TextAnalyzer

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Researchers who need a straightforward way to inspect a collection of English-language documents can use TextAnalyzer through the web. It accepts CSV or XLSX files with document identifiers and text, then applies lexical scoring and text analysis to the uploaded collection. The product covers sentiment and emotion, readability and other text features, age and gender demographic estimation, and topic modeling with latent Dirichlet allocation. Results can be downloaded in tabular form. Its intended audience is researchers and solo or small teams working with spreadsheet-based document data.

TextAnalyzer is free, with a free plan and no paid tiers described. Its main strength is breadth within a document-upload workflow: users can combine lexicon-based scoring with sentiment, emotion, readability, demographic estimation, and LDA topic modeling. The output remains tabular, which suits workflows that begin with CSV or XLSX files and require structured results for further review. Buyers looking for a focused set of analyses rather than an enterprise platform will find the scope clear.

The trade-off is a narrow operating model. TextAnalyzer is web-based and cloud-deployed, centers on uploaded documents, and is designed for English-language text. It is not positioned as a general-purpose enterprise text analytics platform, so organizations needing wider source handling or deeper integration coverage should look beyond it. Support is available by email. Choose TextAnalyzer when free spreadsheet-based analysis, topic modeling, and tabular export meet the requirement; choose an alternative when broader platforms, non-document inputs, or a different language focus are essential.

TextAnalyzer pros and cons

  • Where it wins
    • Analyzes sentiment, emotion, readability, and lexical features
    • Adds LDA topic modeling and demographic estimation
    • Accepts CSV/XLSX input and exports tabular results
  • Where it doesn't
    • Focused on English-language text
    • Centers on uploaded document collections
    • Designed for focused analysis rather than enterprise text analytics

TextAnalyzer fact sheet, pricing and score →

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