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kby-ai/id-document-recognition-ocr
id-document-recognition-ocr is a machine learning model from kby-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Downloads · 30 days
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Updated Aug 27, 2026
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From the Hugging Face model README
For more information, visit KBY-AI's GitHub Repository.
This solutions stands for ID card scanner, ID document reader, ID card reader, ID document recognition, passport scanner, ID scanner, MRZ parser, barcode reader, barcode scan, and MRZ scan, etc.
sudo docker pull kbyai/idcard-recognition:latest
sudo docker run -v ./license.txt:/root/kby-ai-idcard/license.txt -p 8082:8080 -p 9002:9000 kbyai/idcard-recognition:latest
sudo docker run -e LICENSE="xxxxx" -p 8082:8080 -p 9002:9000 kbyai/idcard-recognition:latest
This Docker image utilizes KBY-AI's ID Card Recognition Server SDK, which requires a license for each machine or instance on which it runs.
sudo docker run -e LICENSE="xxxxx" kbyai/idcard-recognition:latest
Contact us:</br>
🧙Email: [email protected]</br>
🧙Telegram: @kbyaisupport</br>
🧙WhatsApp: +13348402323</br>
🧙Discord: KBY-AI</br>
🧙Teams: KBY-AI</br>
To test the Gradio demo from the Docker image, access it at http://127.0.0.1:9002 or http://localhost:9002.
To test the API, use Postman. Here are the endpoints for testing:
Test with an image file: Send a POST request to http://127.0.0.1:8082/idcard_recognition.
Test with a base64-encoded image: Send a POST request to http://127.0.0.1:8082/idcard_recognition_base64.
Download the Postman collection to access and use these endpoints easily. Click here