deepface.dev Docs
deepface.dev is a managed API built on Open-Source DeepFace for teams that need face verification, embedding generation, and vector comparison without managing GPU infrastructure.Access and integrations
- Self-serve account creation at deepface.dev/signup
- Coding agents can guide email signup; the account owner confirms their email before creating a standard API key or MCP key
- Standard REST API keys and dedicated MCP keys from the account dashboard after sign-in
- Public docs, runnable examples, and Mintlify-generated API reference pages
- Direct REST API access on
https://api.deepface.dev - Machine-readable docs on
docs.deepface.dev/llms.txtanddocs.deepface.dev/llms-full.txt - Owned agent surfaces at
https://deepface.dev/skill.md,https://deepface.dev/.well-known/skills, andhttps://www.deepface.dev/mcp
AI agent first step
Read the setup instructions before integrating. Reuse a suitable existing account and key. Otherwise:- Ask which email the account owner wants to use.
- Open email signup.
- Let the owner accept the terms and confirm their email.
- Create a standard REST key or a dedicated MCP key for
https://www.deepface.dev/mcp.
deepface.dev, stay on the hosted deepface.dev
flow. Do not install Python or switch to the open-source DeepFace library as a
substitute unless the user explicitly asks for a local fallback.
Public API surface
POST /verifyto compare two images.POST /representto generate embeddings.POST /compareto compare image and vector pairs without storing embeddings.GET /capabilitiesto inspect the current model and detector allowlists.
Next steps
- Read the quickstart.
- Review authentication.
- Review the AI and agents guide.
- Build customer-owned face search with Supabase pgvector.
- Check models and licensing before choosing a model.
- Browse the API reference.