Readability Analysis Tool (RAT)
Readability Analysis Tool (RAT) checks German text for readability anomalies using configurable rules, in a process likened to finding bug patterns in static…
What Readability Analysis Tool (RAT) is
Readability Analysis Tool (RAT) checks German text for readability anomalies using configurable rules, in a process likened to finding bug patterns in static code analysis. It accepts .docx files and creates a separate copy with detected issues marked as comments, leaving the original document unchanged. RAT also produces an HTML report containing text statistics, readability formulas, anomalies, and a quality gate that indicates whether text may be too easy or too difficult to understand. Its documented formulas are Flesch and Wiener Sachtextformel. The report can include reading and speaking time, sentence and word counts, averages for words and sentences, common parts of speech, and configured keyword percentages. Users can configure rules and thresholds, and the report records anomalies they decline as false positives or mark as incorporated. RAT runs from the command line using a Java JAR, with configuration and output-directory options. The project lists performance of 40 seconds for 10,000 words, or 50 pages. It is available for Linux and Windows, is licensed under GPLv3, and is free.
Good
- Free and licensed under GPLv3.
- Marks anomalies in a copy, preserving the original.
- Generates an HTML report with statistics and a quality gate.
- Rules and thresholds can be configured.
Watch out
- Documented rules support German.
- Documented input is limited to .docx.
- Runs from the command line, not a hosted web interface.
Who it suits
RAT suits people who work with German .docx text and want rule-based readability checks, annotations, and an HTML report. It is a command-line tool rather than a hosted web interface.
Verdict
RAT offers configurable German readability checks with document annotations and a detailed report at no cost. Its .docx input and command-line workflow are important constraints to consider.
Plans and prices
From Readability Analysis Tool (RAT)'s own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Readability Analysis Tool (RAT) | Free | GPLv3 open-source project · supports .docx · German readability rules |
The facts
Each one read from Readability Analysis Tool (RAT)'s own pages, with the date it was checked.
What it does
- Annotations
- RAT annotates detected anomalies as comments in a .docx copy with a -rat.docx suffix, preserving the original document.checked 7 Oct 2026
- Configurable rules
- Anomaly rules and thresholds can be configured, and the report records anomalies users declined as false positives or incorporated.checked 7 Oct 2026
- Document support
- The documented supported file type is .docx.checked 7 Oct 2026
- Execution
- RAT is invoked from the command line with a Java JAR and accepts configuration and output-directory options.checked 7 Oct 2026
- Language
- The documented readability rules support German.checked 7 Oct 2026
- License
- The project lists its license as GPLv3.checked 7 Oct 2026
- Notable limits
- The project documentation lists German rules and .docx input, and describes command-line execution rather than a hosted web interface.checked 7 Oct 2026
- Performance
- The project lists performance as 40 seconds for 10,000 words, or 50 pages.checked 7 Oct 2026
- Purpose
- RAT detects readability anomalies in text based on readability rules, similar to bug patterns in static code analysis.checked 7 Oct 2026
- Quality gate
- The quality gate aggregates formulas, statistics, and anomalies to indicate whether text is too trivial or too hard to understand.checked 7 Oct 2026
- Readability formulas
- The documented formulas are Flesch and Wiener Sachtextformel.checked 7 Oct 2026
- Reports
- RAT creates an HTML report with text statistics, readability formulas, anomalies, and a quality gate.checked 7 Oct 2026
- Statistics
- The report includes reading and speaking time, sentence and word counts, average word and sentence measures, common parts of speech, and configured keyword percentages.checked 7 Oct 2026
- Technology
- The listed technologies are Java, UIMA, and DKPro Core.checked 7 Oct 2026
The company
- Founded
- 2005checked 28 Sep 2026
- Headquarters
- Munich, Germanychecked 28 Sep 2026
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