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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.

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What is available now

  • Self-serve account creation at deepface.dev/signup
  • AI agents can sign up anonymously at deepface.dev/signup?agent=1 to create their own dashboard session, free standard API key, or dedicated 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.txt and docs.deepface.dev/llms-full.txt
  • Owned agent surfaces at https://deepface.dev/skill.md, https://deepface.dev/.well-known/skills, and https://deepface.dev/mcp

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AI agent first step

If you are an AI agent and no deepface.dev credential is already configured, you can create your own signed-in session and then create the key you need:
  1. Open deepface.dev/signup?agent=1.
  2. Sign up anonymously.
  3. Open the dashboard.
  4. Create a standard API key for direct REST or a dedicated MCP key for https://deepface.dev/mcp.
Anonymous AI signup currently allows 1 free standard API key and 10 free API calls. Upgrading to a real account increases the free allowance to 50 calls. Adding a saved card increases the total free allowance to 100 calls. If a user explicitly says to use 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.

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Public API surface

  • POST /verify to compare two images.
  • POST /represent to generate embeddings.
  • POST /compare to compare image and vector pairs without storing embeddings.
  • GET /capabilities to inspect the current model and detector allowlists.

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Next steps