Google Cloud Vision API vs InsightFace
Google Cloud Vision API
cloud.google.comInsightFace
github.comSide by side
| Figure | Google Cloud Vision API | InsightFace |
|---|---|---|
| Price from | $0.60/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 3 |
| Spec score · AI Image Recognition Software | 9.2 (#1) | 8.7 (#7) |
| Company founding | Gartner lists Google's year founded as 1998. | InsightFace says the project was founded in 2018. |
| Integrations | Google documentation demonstrates workflows connecting Vision with Cloud Storage, Cloud Functions, Pub/Sub, Translation, Text-to-Speech and DLP. | 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. |
| Intended users | The API is presented for developers seeking quick integration of prebuilt vision features into applications. | 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. |
| Rating on GetApp | 4.7 out of 5 from 25 reviews. | 0.0 out of 5 from 0 reviews |
| Support | Google Cloud Standard Support offers unlimited individual access to technical support and billing support through multiple channels. | The open-source offering lists community support through GitHub Issues; commercial model licensing lists email support. |
| What it does | Cloud Vision API provides REST and RPC interfaces for adding pretrained image-analysis capabilities to applications. | InsightFace is an open-source 2D and 3D face-analysis platform covering recognition, detection, alignment, swapping and related research tools. |
Plans
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
InsightFace
- Open SourceFree
- Enterprise & APIPriced on request
- Model LicensingPriced on request
In their own words
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.
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.