DeepFace vs InsightFace
DeepFace
github.comInsightFace
github.comSide by side
| Figure | DeepFace | InsightFace |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 6 | 3 |
| Spec score · AI Image Recognition Software | 8.8 (#4) | 8.7 (#7) |
| Latest release | PyPI lists DeepFace 0.0.102 as released on October 9, 2026, with one maintainer identified as Sefik Ilkin Serengil. | PyPI lists InsightFace 2.1 as released on October 3, 2026, with a 2.1 wheel and source archive and no provenance metadata. |
| What it does | DeepFace is a Python framework for face recognition and facial attribute analysis covering age, gender, emotion and race. | InsightFace is an open-source 2D and 3D face-analysis platform covering recognition, detection, alignment, swapping and related research tools. |
Plans
DeepFace
- Anonymous trialFree
- deepface.dev free accessFree
- deepface.dev free allowanceFree
- DeepFace open-source packageFree
- Open-source DeepFaceFree
- deepface.dev EnterprisePriced on request
InsightFace
- Open SourceFree
- Enterprise & APIPriced on request
- Model LicensingPriced on request
In their own words
InsightFace
InsightFace provides software for face detection, recognition, alignment, and attribute analysis, with optional liveness, person analysis, video face redaction, and face swapping. PersonAnalysis detects people and faces, then matches them to registered identities using face and body references. PrivateFrame supports local video face tracking and blur or mosaic redaction through desktop, command-line, and Python workflows. Integration options include Python, a C/C++ SDK, and a self-hosted REST API. InsightFace Server runs in a Linux container and offers a web interface, REST API, and Python SDK for detection, comparison, enrollment, search, and RTSP monitoring. The Python package uses ONNX Runtime and requires Python 3.10 or newer. The code is MIT licensed, but pretrained models are limited to non-commercial research unless separately licensed for commercial use. The maker presents enterprise applications such as identity verification, access control, mobile and edge authentication, and large-scale face search. Commercial model use requires a separate license.