CompreFace vs Yandex Vision OCR
CompreFace
github.comYandex Vision OCR
aistudio.yandex.ruSide by side
| Figure | CompreFace | Yandex Vision OCR |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 7 |
| Spec score · AI Image Recognition Software | 8.9 (#2) | 8.3 (#11) |
| 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. | A Yandex Cloud tutorial shows an image and PDF workflow using Object Storage, Cloud Functions, and Serverless Containers with Vision OCR. |
| Support | The project directs users to report ideas and bugs on GitHub and offers a community chat link. | Yandex Cloud documentation says users can request information about resource operations from cloud logs by contacting support. |
| What it does | CompreFace is Exadel’s free, open-source facial-recognition server designed for integration into other systems. | Vision OCR recognizes printed and handwritten text in images and PDF files, including text arranged in columns, tables, mathematical formulas, or document templates. |
Plans
Yandex Vision OCR
- License plate recognitionFree
- Printed text recognitionFree
- Document recognition (driving license)$0.01, paid once
- Document recognition (passport)$0.01, paid once
- Document recognition (vehicle registration certificate)$0.01, paid once
- Handwriting recognition$0.01, paid once
- Table recognition$0.01, paid once
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.
Yandex Vision OCR
Yandex Vision OCR recognizes printed and handwritten text in images and PDF files. Its models cover general page text, multi-column layouts, handwriting, tables, Markdown text, and mathematical formulas. Document-template models can recognize passports, driver licenses, vehicle registration certificates, and license plates, and return template fields. The service is accessed through gRPC or REST APIs. Results arrive as JSON Lines and can include recognized text and language, page, block, line, word, and image positions, plus layout types such as titles, headers, footnotes, and lists. Supported formats are JPEG, PNG, and PDF. The API accepts files up to 10 MB and images up to 20 megapixels; asynchronous PDF requests can cover up to 200 pages. Results remain on the server for three days. Each successful image or PDF-page recognition counts as one billed unit, while server errors and incorrectly configured requests are not charged. Listed rates range from free for printed text and license plate recognition to $0.01, paid once for several document, handwriting, and table models, billed per unit without VAT. There is no free plan.