InsightFace
github.com
What it is
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.
Spec sheet
- What it does
- InsightFace is an open-source 2D and 3D face-analysis platform covering recognition, detection, alignment, swapping and related research tools.Read 21 Oct 2026 · github.com
- Intended users
- The maker presents the product for enterprise use cases including identity verification and KYC, access control, mobile and edge authentication, and large-scale face search.Read 10 Oct 2026 · insightface.ai
- Integrations
- Picsi.Ai subscriptions synchronize across its app, web and desktop tools through a Discord account, and premium access includes a Photoshop plug-in and Chrome extension.Read 21 Oct 2026 · apps.apple.com
- Privacy
- The trust page says operational customer facial images, biometric templates, and inference data are not used to train general-purpose models unless separately agreed in writing.Read 10 Oct 2026 · insightface.ai
- Compliance
- The maker says it reviews intended use and deployment context before authorizing commercial face recognition or face swap models, and does not authorize unlawful or abusive surveillance use cases.Read 10 Oct 2026 · insightface.ai
- Support
- The open-source offering lists community support through GitHub Issues; commercial model licensing lists email support.Read 10 Oct 2026 · insightface.ai
- Company
- The site identifies the maintainer as InsightFace AI Technology Limited.Read 10 Oct 2026 · insightface.ai
- API extensibility
- The server exposes an OpenAPI schema, snake_case REST endpoints and Python methods such as create_collection, add_person and search.Read 21 Oct 2026 · github.com
- Chrome extension
- The Picsi.Ai extension uses InsightFace technology, supports right-click swapping, up to four source images and local downloads.Read 21 Oct 2026 · chromewebstore.google.com
- Code licence
- InsightFace code and Server source are released under the MIT License, including commercial code use.Read 21 Oct 2026 · github.com
- Company founding
- InsightFace says the project was founded in 2018.Read 21 Oct 2026 · insightface.ai
- Company reach
- The official About page reports more than 40 international partners, deployments in over 50 countries and more than one million Picsi.ai users.Read 21 Oct 2026 · insightface.ai
- Documentation
- Documentation covers runtime installation, CUDA and CoreML providers, PrivateFrame, liveness, GUI workflows, PersonAnalysis, enterprise evaluation and model usage.Read 21 Oct 2026 · pypi.org
- Face alignment
- Face alignment is included as a core capability of the Python library and project toolbox.Read 21 Oct 2026 · pypi.org
- Face detection
- The Python library provides face detection through ONNX Runtime and bundled model packages.Read 21 Oct 2026 · pypi.org
- Face recognition
- The project implements recognition methods including ArcFace, Sub-center ArcFace, Partial FC and VPL.Read 21 Oct 2026 · github.com
- Face swapping
- InsightFace supplies InSwapper face-swapping models and supports commercial licensing for those models.Read 21 Oct 2026 · insightface.ai
- Latest release
- PyPI lists InsightFace 2.1 as released on October 3, 2026, with a 2.1 wheel and source archive and no provenance metadata.Read 21 Oct 2026 · pypi.org
- Limit: difficult angles
- An App Store reviewer reported that results were less reliable with difficult face angles or expressions.Read 21 Oct 2026 · apps.apple.com
- Limit: documentation burden
- An independent technical review says the repository delegates installation and operations to subdirectories and that the issue tracker functions as part of the practical documentation.Read 21 Oct 2026 · hysenlabs.com
- Limit: template search
- The App Store listing says template search is currently unavailable in the latest version.Read 21 Oct 2026 · apps.apple.com
- Liveness
- Version 2 adds an optional RGB liveness addon with per-face scores, rejection reasons and recognition gating.Read 21 Oct 2026 · github.com
- Model licence limit
- Pretrained models distributed by InsightFace are restricted to non-commercial research unless a separate commercial licence is obtained.Read 21 Oct 2026 · github.com
- Model licensing limit
- The code is MIT licensed, while pretrained models are restricted to non-commercial research unless separately licensed for commercial use.Read 10 Oct 2026 · github.com
- Notable news: PersonAnalysis
- The changelog records the InsightFace 2.1 PersonAnalysis update on October 3, 2026.Read 21 Oct 2026 · github.com
- Notable news: Server
- The project changelog records the InsightFace Server launch on July 27, 2026.Read 21 Oct 2026 · github.com
- Person analysis
- PersonAnalysis detects people and faces and matches them to registered identities using face and body references.Read 10 Oct 2026 · github.com
- PersonAnalysis
- PersonAnalysis detects bodies and faces, registers reference people, matches identities and can learn body references after clear face matches.Read 21 Oct 2026 · pypi.org
- Praise: ease and quality
- App Store reviewers repeatedly describe the face swaps as realistic, fast, intuitive and useful for photos, videos, GIFs and live camera work.Read 21 Oct 2026 · apps.apple.com
- Praise: local processing
- One App Store reviewer specifically praised on-device processing because images were not sent to servers.Read 21 Oct 2026 · apps.apple.com
- PrivateFrame
- PrivateFrame locally detects and tracks faces in video, applies blur or mosaic, supports reference-photo selection and exports editable JSON.Read 21 Oct 2026 · github.com
- Python package
- The Python package uses ONNX Runtime and requires Python 3.10 or newer.Read 10 Oct 2026 · github.com
- Python requirements
- The current PyPI package requires Python 3.10 or newer and provides gui, privateframe and face3d extras.Read 21 Oct 2026 · pypi.org
- Rating on Apple App Store
- 5.0 out of 5 from 30 ratingsRead 21 Oct 2026 · apps.apple.com
- Rating on Capterra
- 0.0 out of 5 from 0 reviewsRead 21 Oct 2026 · capterra.com
- Rating on Chrome Web Store
- 3.7 out of 5 from 3 ratingsRead 21 Oct 2026 · chromewebstore.google.com
- Rating on GetApp
- 0.0 out of 5 from 0 reviewsRead 21 Oct 2026 · getapp.com
- SDKs
- The ecosystem includes a Python package, a Python Server client and the cross-platform InspireFace C/C++ SDK.Read 21 Oct 2026 · github.com
- Security and deployment
- The Server page says images, embeddings, models, and indexes can remain in customer-controlled infrastructure and that normal startup can run offline after setup.Read 10 Oct 2026 · insightface.ai
- Security and privacy
- The official site states GDPR and CCPA adherence, on-premises processing without biometric data transmission, and regular third-party security audits.Read 21 Oct 2026 · insightface.ai
- Self-hosted server
- InsightFace Server offers a local web UI, REST API and Python client for detection, liveness, comparison, enrollment and person search.Read 21 Oct 2026 · github.com
- Server
- InsightFace Server runs in a Linux container and provides a Web UI, REST API, and Python SDK for detection, comparison, enrollment, search, and RTSP monitoring.Read 10 Oct 2026 · insightface.ai
- Server requirements
- Server deployment requires Linux x86_64 with Docker Engine and Compose; CUDA use additionally needs a supported NVIDIA driver and NVIDIA Container Toolkit.Read 21 Oct 2026 · github.com
- Server scale claim
- The project says its server can perform 50-million-plus image search on one RTX 5090 GPU using INT8 embedding quantization.Read 21 Oct 2026 · github.com
- Video privacy
- PrivateFrame supports local video face tracking and blur or mosaic redaction through desktop, CLI, and Python workflows.Read 10 Oct 2026 · github.com
Plans and prices
Strong points and limits
Strong points
- Detection, recognition, alignment, and attribute analysis
- Self-hosted REST API and Linux Server option
- Local video face tracking and redaction
- Code is MIT licensed
Limits
- Pretrained models are restricted to non-commercial research without a separate license
- Python package requires Python 3.10 or newer
- Community support is through GitHub Issues
Who it suits
InsightFace suits developers and enterprises building face-analysis workflows, including identity verification, access control, and face search. Its self-hosted and local video options may suit deployments where data and infrastructure need to remain customer-controlled.
Verdict
InsightFace offers a broad set of face-analysis and video-privacy capabilities, including self-hosted deployment options. Check model licensing carefully: the code license does not grant commercial use of pretrained models.
Where Specifiction places it
- AI Image Recognition Software#7 of 378.7