No. 20 of 25 ·AI Readability Checkers

textstat

Linux

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Freedom report

One barScore 5.3

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

textstat is ranked #20 of 25 in AI readability checkers on Freedom251. It runs on Linux.

Compared on AI readability checkers

Grade-level analysis: Yes
Plain-language rewrites: No
Accessibility guidance: No
Input formats: text

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The record

Purpose: Textstat is a Python library that calculates text statistics to help determine readability, complexity, and grade level.
Readability formulas: It provides readability measures including Flesch Reading Ease, Flesch-Kincaid Grade, SMOG, Coleman-Liau, ARI, Dale-Chall, and Gunning Fog.
Other metrics: Its functions include reading time, syllable, word, sentence, character, letter, polysyllable, and monosyllable counts.
Language coverage: English is the default, with listed language variants for some formulas and specific measures for Spanish, Arabic, Italian, and German.
Installation: The project documents installation through pip, Poetry, Pipenv, pipx, or directly from GitHub source.
Command line: The documentation says Textstat can be installed standalone as a command-line tool with pipx.
Supported users: PyPI classifies the intended audience as developers, education, and science/research.
License: The package is distributed under the MIT license.
Runtime requirement: PyPI lists Python >=3.6 as a requirement.
SMOG limitation: The documentation says SMOG is statistically invalid for texts under 30 sentences, although Textstat returns a result from at least three sentences.
Spanish formula limits: The project says Gutiérrez de Polini scores for complex text are unreliable and Crawford is valid only for elementary-school-level texts.
Security reporting: The security policy asks people to report vulnerabilities by email and says Textstat does not offer a paid bug bounty programme.
Support: The project asks users to report problems by opening a GitHub issue.

Where it ranks on Freedom251

Best AI Readability Checkers in 2026#20 of 25

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Sources

github.com/textstat/textstat· checked 4 Oct 2026
docs.textstat.org· checked 4 Oct 2026
pypi.org/project/textstat/· checked 4 Oct 2026
github.com/textstat/textstat/security/policy· checked 4 Oct 2026