CompreFace vs InsightFace
CompreFace
github.comInsightFace
github.comSide by side
| Figure | CompreFace | InsightFace |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| 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 | 2 | 3 |
| Spec score · AI Image Recognition Software | 8.9 (#2) | 8.7 (#7) |
| Face detection | A face-detection service is included alongside recognition and verification. | The Python library provides face detection through ONNX Runtime and bundled model packages. |
| Face recognition | The service can identify enrolled people from submitted images. | The project implements recognition methods including ArcFace, Sub-center ArcFace, Partial FC and VPL. |
| Integrations | The project invites contributors to add support for other platforms such as Home Assistant or DreamFactory; it does not describe these as built-in integrations on the page. | 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. |
| SDKs | Exadel links JavaScript, Python and .NET SDK repositories for CompreFace. | The ecosystem includes a Python package, a Python Server client and the cross-platform InspireFace C/C++ SDK. |
| Support | The project directs users to report ideas and bugs on GitHub and offers a community chat link. | The open-source offering lists community support through GitHub Issues; commercial model licensing lists email support. |
| What it does | CompreFace is Exadel’s free, open-source facial-recognition server designed for integration into other systems. | InsightFace is an open-source 2D and 3D face-analysis platform covering recognition, detection, alignment, swapping and related research tools. |
Plans
InsightFace
- Open SourceFree
- Enterprise & APIPriced on request
- Model LicensingPriced on request
In their own words
CompreFace
CompreFace is a free, open-source face recognition service that provides capabilities through a REST API. It supports face recognition and verification, plus face, landmark and mask detection, head pose detection, age recognition and gender recognition. The project says setup and use do not require prior machine-learning skills. It is packaged as a Docker Compose configuration and can run as a standalone server or in the cloud; listed deployment options also include hybrid use. Setup instructions cover Windows, macOS and Linux and require Docker with Docker Compose or Docker Desktop. The service supports CPU and GPU models, with an x86 processor supporting AVX among the stated requirements. A UI panel and role management let users manage roles and control access to face recognition services. The project names FaceNet and InsightFace among its underlying libraries and links JavaScript, Python and .NET SDK repositories. CompreFace is self-hosted and released under Apache 2.0. The documented quick start uses a release archive and starts the service with docker-compose up -d; the project also points users to GitHub channels and a community chat.
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.