From repo to published docs in 5 minutes! No writers needed. Docs live before your next standup. Setup takes minutes. 1 - INGEST: Connect your GitHub, GitLab, or Bitbucket repo. Git2Docs READS (not copy) every file, every function. 2 - ANALYZE: AI parses APIs, models, configs, and business logic. Builds a complete semantic map of your product. 3 - GENERATE: Complete doc structure auto-generated — consistent voice, correct terminology, structured hierarchy. 4 - REFINE & VALIDATE: Tell AI to fix sections, or point a coding agent at your live deployment to flag every documented CLI and API call that doesn’t behave as documented. You might not need to refine if validation came back clean — and either way, findings batch into one AI-applied fix. 5 - SYNC: Every code push updates your docs. Live, accurate, always current. Zero maintenance required.
Git2Docs reads your GitBook content to learn what your product is and what your docs should cover, then regenerates the documentation from your code — and proves, with a coverage score, that nothing important was lost.
Connect your GitHub, GitLab, or Bitbucket repo. Git2Docs reads every file, every function. AI parses APIs, models, configs, and business logic. Builds a complete semantic map of your product. Complete doc structure auto-generated — consistent voice, correct terminology, structured hierarchy. Every code push updates your docs. Live, accurate, always current. Zero maintenance required.
Git2Docs reads your GitBook content to learn what your product is and what your docs should cover, then regenerates the documentation from your code — and proves, with a coverage score, that nothing important was lost.
Turn documentation into a RAG-powered support chatbot that answers user questions instantly, with citations. Answers are built from your published doc sections only. Every response cites the sources it leaned on; nothing is fabricated from a generic web crawl. Every question the bot can't answer surfaces as a gap on the maintainer dashboard. One click adds it to the brief; the next regenerate fills it. Your docs get better the more they're used.
Tell AI to fix sections, or point a coding agent at your live deployment to flag every documented CLI and API call that doesn’t behave as documented. You might not need to refine if validation came back clean — and either way, findings batch into one AI-applied fix. Leave feedback on any section. Submit Review batches everything into a single AI pass that updates the product brief and regenerates the affected pages. Manual brief editing is now optional. Brand & edit documentation Add your logo, colors, and custom domain. Fine-tune any section by hand with a rich-text editor when the AI didn’t quite nail the phrasing. Docs that look and feel like your product.
Turn documentation into a RAG-powered support chatbot that answers user questions instantly, with citations. Answers are built from your published doc sections only. Every response cites the sources it leaned on; nothing is fabricated from a generic web crawl. Every question the bot can't answer surfaces as a gap on the maintainer dashboard. One click adds it to the brief; the next regenerate fills it. Your docs get better the more they're used.
Connect your GitHub, GitLab, or Bitbucket repo. Git2Docs reads every file, every function. AI parses APIs, models, configs, and business logic. Builds a complete semantic map of your product. Complete doc structure auto-generated — consistent voice, correct terminology, structured hierarchy. Every code push updates your docs. Live, accurate, always current. Zero maintenance required.
Bring your own coding agent (Claude Code recommended; Codex / Antigravity work too). It exercises every documented CLI command and API call against your live deployment; mismatches feed straight into the Tell AI flow. Leverage a coding-agent-powered runtime validator that catches every documented CLI / API call that doesn't behave as the docs intended or claim.
Bring your own coding agent (Claude Code recommended; Codex / Antigravity work too). It exercises every documented CLI command and API call against your live deployment; mismatches feed straight into the Tell AI flow. Leverage a coding-agent-powered runtime validator that catches every documented CLI / API call that doesn't behave as the docs intended or claim.
Git2Docs charges based on the number of repos and lines of code you document — not the number of people who read the result. How we count lines of code? We use cloc — the open-source industry standard. It counts only meaningful source lines, excluding comments, blank lines, and generated files. You can run it yourself and get the exact same number. Team and Enterprise plans ALSO INCLUDE the L1 support chatbot, grounded in your published docs.
Tell AI to fix sections, or point a coding agent at your live deployment to flag every documented CLI and API call that doesn’t behave as documented. You might not need to refine if validation came back clean — and either way, findings batch into one AI-applied fix. Leave feedback on any section. Submit Review batches everything into a single AI pass that updates the product brief and regenerates the affected pages. Manual brief editing is now optional. Brand & edit documentation Add your logo, colors, and custom domain. Fine-tune any section by hand with a rich-text editor when the AI didn’t quite nail the phrasing. Docs that look and feel like your product.
Git2Docs charges based on the number of repos and lines of code you document — not the number of people who read the result. How we count lines of code? We use cloc — the open-source industry standard. It counts only meaningful source lines, excluding comments, blank lines, and generated files. You can run it yourself and get the exact same number. Team and Enterprise plans ALSO INCLUDE the L1 support chatbot, grounded in your published docs.