Documentation.AI vs Hyperdocs
Documentation.AI
documentation.ai
Hyperdocs
hyperdocs.ioSide by side
| Figure | Documentation.AI | Hyperdocs |
|---|---|---|
| Price from | $55/mo | $39/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 4 | 5 |
| Spec score · AI Documentation Generators | 8.9 (#4) | 8.0 (#20) |
| Integrations | Connectors listed by the product include GitHub, GitLab, Jira, Confluence, Linear, Notion, HubSpot, Plain, Intercom and reader feedback. | The maker lists GitHub Sync and an MCP Server; Slack notifications are available on Starter and above, while other integrations such as Zendesk, Zapier, and n8n are described as planned. |
| Product | Documentation.AI combines an AI documentation agent, workflows, publishing, and AI access for technical documentation. | Hyperdocs is an AI documentation platform for SaaS teams to create, publish, and maintain product docs, help centers, API references, and changelogs. |
| Security | The privacy policy describes encryption in transit and at rest, least-privilege controls, audit logging, routine backups, and hashed passwords. | For GitHub Sync, Hyperdocs requests read-only access to selected repositories, says it does not permanently store source code or use it to train AI models, and requires approval before generated content is published. |
| Security controls | The maker states that data is encrypted in transit and at rest, isolated per organization, and that documentation can be public, partial or private with password, JWT or OAuth 2.0. | The privacy policy says the service uses HTTPS, secure authentication, access controls, and limited internal access to customer information. |
| Support | Standard includes Slack support; Pro adds priority support and a private Slack channel; Enterprise includes dedicated support. | Pricing lists community support on Free, email on Starter, priority email on Growth, priority support on Scale, and dedicated support on Enterprise. |
Plans
Documentation.AI
- StarterFree
- Standard$55 a month
- Pro$159 a month
- EnterprisePriced on request
Hyperdocs
- FreeFree
- Starter$39 a month
- Growth$119 a month
- Scale$199 a month
- EnterprisePriced on request
In their own words
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.
Hyperdocs
Hyperdocs is a hosted AI documentation platform for SaaS teams creating product docs, help centers, API references, and changelogs. Its Documentation Generator turns a connected GitHub repository into editable drafts for review. GitHub Sync and Docs Audit can flag pages that may need updates after code changes, while Docs Agent can draft or edit content. Teams publish searchable documentation with custom domains and branding, and Answer Agent responds to visitor questions using published pages while pointing to relevant sources. Analytics cover searches, zero-result searches, page feedback, and Answer Agent activity, with plan-dependent history. Multilingual publishing and AI translation support one language on Free, two on Starter, five on Growth, and ten on Scale. Sources include GitHub repositories and existing documentation; outputs include hosted public docs, Markdown, llms.txt, and llms-full.txt. Hyperdocs offers an API platform and web access.