ATOS Analyzer vs Readability Analysis Tool (RAT)

ATOS Analyzer is a free web tool for estimating the readability level of text and books in English or Spanish. Users can enter a passage, analyze an entire book, or submit a sample with an estimated word count. Text can be typed or uploaded as a .txt, .docx, or .epub file, with uploads limited to 10 MB. The suggested passage length is 150 to 25,000 characters. Results include an ATOS level, grade-level equivalent, word count, AR Points, average word length, average sentence length, and language. ATOS estimates complexity on a grade-level scale using sentence length, word length, and word difficulty; its measure also accounts for book length. For a sampled book, Renaissance recommends three passages of about 150 words from different parts and an estimated total word count. Scanned documents need OCR to become recognized text before submission; changing a file extension does not convert them. The page includes a CCSS/ATOS grade-band chart for grades 1 through 12. Renaissance presents the measure as guidance for matching students with appropriately leveled reading material.

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.