ProfText vs Readability

ProfText checks documents for vague language, patterns associated with AI-generated writing, and academic citation validity. Available on the web and through an API, it accepts text and offers a free tier with 30 clarity and detection rules. ProfText says free analysis runs in a browser Web Worker, so text stays on the user’s device and is not retained. The free plan allows unlimited analyses of up to 5,000 characters each, but excludes citation verification, AI rewrites, compliance checks, risk scoring, and shareable report links. Pro costs €9.99 per month and raises the analysis limit to 100,000 characters. It adds citation cross-checks against OpenAlex, rewrites with tone controls, compliance flags, risk grading, custom rules, and.txt and.docx uploads. Pro also includes CSV export, priority support, and report links that remain available for 90 days. Enterprise adds REST API access, bulk processing, SSO and team management, and dedicated support at a custom price. The site describes team workflows with roles, document versioning, comments, approvals, and analytics.

Readability analyzes Markdown files and reports measures of reading complexity. It provides grade level, reading ease and estimated reading time calculated at 200 words per minute. The listed grade-level formulas are Flesch-Kincaid, Gunning Fog, Coleman-Liau, SMOG and ARI. It also measures word and sentence metrics and can detect or require MkDocs-style admonitions. Results can be produced as a table, Markdown, JSON, summary or report. Configurable thresholds can fail CI checks when documentation exceeds them, and a.readability.yml file supports path-specific overrides. The project documents a Go command-line tool, Docker, a GitHub Action and pre-commit hooks, alongside CI/CD examples for GitLab CI, CircleCI and Jenkins. Pre-built binaries are listed for Linux and macOS in amd64 and arm64, and Windows in amd64. The project identifies its license as MIT and lists no paid plans. Its documentation cautions that scores measure word and sentence complexity, not accuracy, completeness, context or tone.