Face++ vs Google Cloud Vision API
Face++
faceplusplus.comGoogle Cloud Vision API
cloud.google.comSide by side
| Figure | Face++ | Google Cloud Vision API |
|---|---|---|
| Price from | Free | $0.60/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Plans published | 7 | 4 |
| Spec score · AI Image Recognition Software | 8.8 (#5) | 9.2 (#1) |
| Spec score · Image Recognition Software | 8.8 (#5) | 9.2 (#1) |
| API access | Developers access web APIs through Face++ API keys and secrets, with documented POST endpoints and JSON responses. | Programmatic access is offered through client libraries and REST, with RPC also documented as an API reference. |
| Company headquarters | Crunchbase lists Megvii in Beijing, China, while the World Economic Forum places its headquarters in Zhongguancun. | LinkedIn lists Google's headquarters in Mountain View, California. |
| Company size | Crunchbase places Megvii in the 1,001–5,000 employee range. | LinkedIn lists Google as a public software-development company with 10,001+ employees. |
| Rating on G2 | 3.7 out of 5 from 6 reviews | 4.5 out of 5 from 116 reviews. |
| Support | Face++ offers technical support for integration help, API issues, and troubleshooting through its contact page. | Google Cloud Standard Support offers unlimited individual access to technical support and billing support through multiple channels. |
| What it does | Face++ is an AI computer-vision platform offering facial, body, image, object and text-recognition APIs and SDKs. | Cloud Vision API provides REST and RPC interfaces for adding pretrained image-analysis capabilities to applications. |
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
Google Cloud Vision API
- Cloud Vision API pay-as-you-goFree
- First 1,000 unitsFree
- Units above 5,000,000$0.60 a month
- Units 1,001 to 5,000,000$1.50 a month
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.
Google Cloud Vision API
Google Cloud Vision API provides image-analysis features that developers can integrate into applications through REST or RPC. Its capabilities include image labeling, face and landmark detection, text recognition, object localization, web detection, and explicit-content tagging. Text Detection reads text in images, while Document Text Detection supports dense text, handwriting, and PDF or TIFF files. Object Localization returns labels and bounding boxes for multiple recognized objects. Web Detection can return related web entities, matching image URLs and pages, visually similar images, and a best-guess label. Face Detection locates faces and facial landmarks and supplies likelihood ratings, but it does not recognize specific individuals. Documented workflows connect it with Cloud Storage, Cloud Functions, Pub/Sub, and Cloud Translation API. For Android and iOS development using Google Cloud Vision services, Google recommends ML Kit for Firebase. Limits include 20 MB per image, 10 MB per JSON request, 16 images per synchronous annotate request, and 2,000 images per asynchronous batch request. The first 1,000 units per feature each month are free; subsequent charges vary by feature and usage tier. The listed plan price is free, with Label Detection listed at 1.50 USD per 1,000 units for 1,001–5,000,000 units.