Claritar vs textlint

Claritar is web-based brand voice software for agencies. It evaluates drafts against saved client voices, identifies off-brand content, and supplies rewrites. Users provide 5–10 on-brand pieces; Claritar infers tone, rules, banned words, and keywords from them. Each draft receives a 0–100 score and an A–F grade, with separate breakdowns for voice, tone, banned words, and keywords. Tone controls cover formal or casual, serious or playful, and a target reading level. Teams can define preferred terms, acronyms, product names, punctuation preferences, banned words, and required keywords. Review features include score gates, approve-or-return flows, writer scorecards, and an approval audit trail. Claritar can crawl a sitemap, score pages against a saved voice, rank pages that diverge, and export one audit report. It supports multiple languages, PDF reports, shareable links, and Agency-plan white-labeling. Content is encrypted in transit and at rest, access is scoped to team members, and drafts are used only for scoring and rewriting.

textlint is a free, open-source tool for checking natural-language text against rules users install and configure. It parses text into an abstract syntax tree, evaluates that structure, and reports errors or warnings. Markdown and plain text are supported by default, while plugins can add HTML and other formats. The tool has no bundled default rules, so users need to select and set up the checks they want. Its CLI can automatically fix problems and produce output in multiple formats. The project lists integrations for Visual Studio Code, Vim, Emacs, Atom, Sublime Text, micro, and NetBeans, and text checks can run in GitHub Actions workflows for commits and pull requests. The CLI can also run as an MCP server, allowing AI assistants to lint and fix text using a project’s textlint configuration. For browser use, @textlint/editor is described as an offline text-linting extension. Developers can use the package’s high-level APIs to integrate textlint into applications. It requires Node.js 20 or later and is MIT-licensed.