Face++ vs InsightFace
Face++
faceplusplus.comInsightFace
github.comSide by side
| Figure | Face++ | InsightFace |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | Yes |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 7 | 3 |
| Spec score · AI Image Recognition Software | 8.8 (#5) | 8.7 (#7) |
| Documentation | Face++ provides a console dashboard, documentation center, API documents, FAQ and usage and billing views. | Documentation covers runtime installation, CUDA and CoreML providers, PrivateFrame, liveness, GUI workflows, PersonAnalysis, enterprise evaluation and model usage. |
| Face detection | The Detect API locates faces in images and returns bounding boxes and face tokens. | The Python library provides face detection through ONNX Runtime and bundled model packages. |
| Face recognition | Its capabilities include face detection, 1:1 comparison, 1:N search, facial landmarks, and facial attributes. | The project implements recognition methods including ArcFace, Sub-center ArcFace, Partial FC and VPL. |
| Liveness | Liveness detection is described as distinguishing a live face from a photo, video, or mask to help prevent spoofing attacks. | Version 2 adds an optional RGB liveness addon with per-face scores, rejection reasons and recognition gating. |
| Security and privacy | The privacy policy says Face++ processes facial and body biometric information and supports access, correction and deletion rights. | The official site states GDPR and CCPA adherence, on-premises processing without biometric data transmission, and regular third-party security audits. |
| Support | Face++ offers technical support for integration help, API issues, and troubleshooting through its contact page. | The open-source offering lists community support through GitHub Issues; commercial model licensing lists email support. |
| What it does | Face++ is an AI computer-vision platform offering facial, body, image, object and text-recognition APIs and SDKs. | InsightFace is an open-source 2D and 3D face-analysis platform covering recognition, detection, alignment, swapping and related research tools. |
Plans
Face++
- FreeFree
- FreeFree
- Daily/Monthly PlanPriced on request
- Daily/Monthly PlanPrice not published
- Pay As You GoPriced on request
- SDK licensingPriced on request
- SDK licensingPriced on request
InsightFace
- Open SourceFree
- Enterprise & APIPriced on request
- Model LicensingPriced on request
In their own words
Face++
Face++ provides computer vision APIs and SDKs for adding image analysis and recognition to applications. Its face capabilities include detection, 1:1 comparison, 1:N search, facial landmarks and facial attributes. The platform also lists body and skeleton recognition, gesture recognition, OCR, image beautification and photo album clustering. Liveness detection distinguishes a live face from a photo, video or mask to help prevent spoofing attacks. Face++ presents identity verification, eKYC and passport matching, ride-hailing driver verification, biometric retail payments and skin analysis as use cases. Its platforms include Android, API, iOS, macOS, web and Windows. The Face Landmark SDK supports Android, iOS, Windows and Mac, and can perform face detection, tracking and landmarking locally on mobile devices. The free API key has shared QPS limits: 3 total for facial recognition APIs, with Dense Facial Landmarks API limited separately to 1. The SDK trial offers one day of authorized online licensing, with up to five authorizations per day. The free plan is free; other listed billing options have no listed price.
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.