DeepDoc vs Documentation.AI
DeepDoc
deepdoc.techDocumentation.AI
documentation.aiSide by side
| Figure | DeepDoc | Documentation.AI |
|---|---|---|
| Price from | Free | $55/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · AI Documentation Generators | 8.7 (#7) | 8.9 (#4) |
Plans
Documentation.AI
- StarterFree
- Standard$55 a month
- Pro$159 a month
- EnterprisePriced on request
In their own words
DeepDoc
DeepDoc turns a code repository into a navigable documentation site, regenerating pages affected by code changes through its update command. It scans source files, plans and generates documentation, stages OpenAPI references when present, and builds a site organized around topics such as architecture, endpoints, integrations, and schemas. Its AI answers can cite repository file paths and line ranges. Listed inputs include Python, TypeScript, JavaScript, Go, PHP, Vue, GraphQL, and OpenAPI or Swagger specifications. Output options include Markdown, Mermaid diagrams, a MkDocs Material site, a static Next.js/Fumadocs site, and an interactive API reference. Generated sites can include navigation and search, with an optional AI chatbot widget. DeepDoc is a terminal-based Python package requiring Python 3.10 or later; the maker says it needs no account or cloud service and identifies it as MIT licensed. Users bring their own LLM provider. Generate and update call that provider, so costs depend on the chosen model and documentation pages; other listed commands do not call an LLM. The deploy command produces a static site for any host.
Documentation.AI
Documentation.AI combines an AI documentation agent, review workflows, publishing, and AI access for technical documentation. Teams can write in a visual web editor or use Markdown and MDX in Git repositories with pull-request previews. OpenAPI specifications generate API reference pages with request and response examples plus a live playground. Agent and workflow changes arrive as drafts or commits for review instead of publishing automatically. The platform includes an in-document assistant with cited answers, a Reader MCP server, and generated llms.txt. GitHub, GitLab, Jira, and Confluence can supply context, while analytics and chat integrations include Google Analytics 4, PostHog, Intercom, and Crisp. Documentation may be public, password-protected, or private with JWT or OAuth 2.0; SAML/OIDC SSO and SCIM are Enterprise features. AI work pauses when credits run out until the next cycle or a top-up, with no overage billing stated. Starter is free; Standard costs $55 a month billed yearly, and Pro costs $159 a month billed yearly.