Readability Analysis Tool (RAT) vs Readable
Readability Analysis Tool (RAT)
github.com
Readable
readable.comSide by side
| Figure | Readability Analysis Tool (RAT) | Readable |
|---|---|---|
| Price from | Free | $12/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Readability Checkers | 7.6 (#17) | 8.3 (#8) |
| Spec score · AI Readability Checkers | 7.6 (#18) | 8.4 (#2) |
| Founded | 2005 | LinkedIn lists Readable as founded in 2016. |
| Headquarters | Munich, Germany | Hassocks, West Sussex, United Kingdom |
| Notable limits | The project documentation lists German rules and .docx input, and describes command-line execution rather than a hosted web interface. | API access is listed for AgencyPro, and only AgencyPro includes a stated monthly API allowance. |
| Purpose | RAT detects readability anomalies in text based on readability rules, similar to bug patterns in static code analysis. | Readable is an online toolkit for analyzing and improving writing readability and quality. |
| Readability formulas | The documented formulas are Flesch and Wiener Sachtextformel. | The service includes formulas such as Flesch, Flesch-Kincaid, Gunning Fog, SMOG, Coleman-Liau, ARI, FORCAST, Fry, Raygor, CEFR and IELTS. |
| Reports | RAT creates an HTML report with text statistics, readability formulas, anomalies, and a quality gate. | Users can generate reports and export results to PDF or CSV; AgencyPro adds branded reports. |
Plans
Readability Analysis Tool (RAT)
- Readability Analysis Tool (RAT)Free
In their own words
Readability Analysis Tool (RAT)
Readability Analysis Tool (RAT) checks German text for readability anomalies using configurable rules. It accepts .docx files and marks detected issues as comments in a separate copy with a -rat.docx suffix, leaving the original intact. RAT also creates an HTML report with statistics, readability formulas, anomalies, and a quality gate indicating whether text may be too trivial or difficult. Its documented formulas are Flesch and Wiener Sachtextformel. Report details can include reading and speaking time, sentence and word counts, average word and sentence measures, common parts of speech, and configured keyword percentages. Users can adjust anomaly rules and thresholds; the report records anomalies they reject 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 runs on Linux and Windows, uses Java, UIMA, and DKPro Core, and is licensed under GPLv3.