DeepFace

Self-hosted · API

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Freedom report

One barScore 4.9

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely0 of 6 device platforms
DocumentedThinly documented

DeepFace is ranked #48 of 57 in AI face swap tools on Freedom251. It runs on API, Self-hosted. There is a free plan.

DeepFace plans and pricing

All plans

Open-source DeepFace Free MIT-licensed Python library github.com · 4 Oct 2026

deepface.dev free access Free 10 free calls per month anonymously · 50 free calls per month with a full account · 100 free calls per month with an active saved card deepface.dev · 4 Oct 2026

deepface.dev Enterprise Not published Custom contracts Higher rate limits · dedicated queue capacity · SLAs · custom privacy controls deepface.dev · 4 Oct 2026

Compared on AI face swap tools

Free plan: Yes

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The record

Purpose: DeepFace is a lightweight Python framework for face recognition and facial attribute analysis, including age, gender, emotion, and race.
Face tasks: Its functions support face verification, finding identities in a folder, image analysis, and producing face embeddings.
Recognition models: The library wraps models including VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, and Buffalo_L.
Detection and alignment: Available detector backends include OpenCV, SSD, Dlib, MTCNN, RetinaFace, MediaPipe, YOLO, YuNet, and CenterFace, and alignment can be configured.
Anti-spoofing: DeepFace includes an optional anti-spoofing module to assess whether a face image is real or fake.
Database integrations: Database-backed operations support PostgreSQL, MongoDB, Neo4j, pgvector, Pinecone, Milvus, Qdrant, and Weaviate.
API options: DeepFace can be served through REST or gRPC, and its API covers verification, facial attribute analysis, vector representation, registration, and search.
Install options: The library can be installed from PyPI or source code with TensorFlow, PyTorch, or ONNX Runtime backends.
License and model caveat: DeepFace is MIT licensed, but the repository cautions that wrapped models can carry separate licenses that should be checked for production use.
Hosted API: deepface.dev provides a managed API for verification, embedding generation, and vector comparison without requiring users to manage GPU infrastructure.
Hosted model limits: The hosted service excludes VGG-Face because its released weights are restricted to non-commercial research use and says InsightFace-based ArcFace models require a separate commercial license.
Hosted inputs and access: The hosted API accepts files and base64 by default, provides REST and MCP access, and offers self-serve signup, API keys, usage, and billing.
Price from: Free

Where it ranks on Freedom251

Best AI Face Swap Tools in 2026#48 of 57
Best AI Image Recognition Software in 2026#25 of 35

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Sources

github.com/serengil/deepface· checked 4 Oct 2026
deepface.dev· checked 4 Oct 2026