DeepDetect vs Face++
DeepDetect
deepdetect.comFace++
faceplusplus.comSide by side
| Figure | DeepDetect | Face++ |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 7 |
| Spec score · AI Image Recognition Software | 8.0 (#15) | 8.8 (#5) |
| Integration | The server accepts and returns JSON and supports Mustache output templates, with Elasticsearch given as an example sink application. | The Face Landmark SDK can run face detection, tracking, and landmarking locally on mobile devices. |
| Support | The plans page lists email support for Amazon AWS and email and phone support for Enterprise. | Face++ offers technical support for integration help, API issues, and troubleshooting through its contact page. |
| Use cases | The maker lists image tagging, object detection, segmentation, OCR, audio, video, text classification, CSV tabular data, and time-series among its supported application areas. | The site presents identity verification, eKYC and passport matching, ride-hailing driver verification, biometric retail payments, and skin analysis as use cases. |
Plans
DeepDetect
- Open SourceFree
- Amazon AWSPriced on request
- EnterprisePriced on request
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
In their own words
DeepDetect
DeepDetect is an open-source deep-learning REST API server and web platform for training and managing models. Its listed application areas range from image tagging, object detection, segmentation, and OCR to audio, video, text classification, CSV data, and time-series. Training resources include Jupyter notebooks, dataset validation, hyperparameter presets, and distributed training across one or more GPUs. The platform advertises more than 50 pretrained models for transfer training, and models can be exported for cloud, desktop, or embedded devices. The server runs on CPU or GPU, accepts and returns JSON, and supports Mustache output templates; Elasticsearch is given as an example destination application. PyTorch and TensorRT are listed as backends, with TensorRT able to optimize NVIDIA GPU inference. Ready-to-use API examples are available for Shell, Python, and JavaScript. The free Open Source plan is free. Amazon AWS is priced on request, while the Enterprise plan has no listed price. Installation guidance covers Docker and a source build for Ubuntu 24.04 LTS.
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.