DeepFace vs Yandex Vision OCR
DeepFace
github.comYandex Vision OCR
aistudio.yandex.ruSide by side
| Figure | DeepFace | Yandex Vision OCR |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 6 | 7 |
| Spec score · AI Image Recognition Software | 8.8 (#4) | 8.3 (#11) |
| Recognition models | The package wraps VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet and Buffalo_L models. | Models are available for general page text, multi-column text, handwriting, tables, Markdown text, and math formulas. |
| What it does | DeepFace is a Python framework for face recognition and facial attribute analysis covering age, gender, emotion and race. | Vision OCR recognizes printed and handwritten text in images and PDF files, including text arranged in columns, tables, mathematical formulas, or document templates. |
Plans
DeepFace
- Anonymous trialFree
- deepface.dev free accessFree
- deepface.dev free allowanceFree
- DeepFace open-source packageFree
- Open-source DeepFaceFree
- deepface.dev EnterprisePriced on request
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
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.