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kby-ai/id-document-liveness-detection
id-document-liveness-detection 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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Updated Aug 27, 2026
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From the Hugging Face model README
For more information, visit KBY-AI's GitHub Repository.
This Docker image utilizes KBY-AI's SDK, which requires a license for each machine or instance on which it runs.
HWID) for license, use the following syntax:sudo docker run -e LICENSE="xxxxx" kbyai/idl:latest
HWID) obtained from your console.
🧙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://127.0.0.1:7860 or http://localhost:7860.
API can be tested through Postman based on the following endpoint details.</br>
API endpoint: <base URL>/process_imagePOSTmultipart/form-data| Parameter | Type | Description |
|---|---|---|
| image | File | ID document image file with *.jpg or *.png extension |
API endpoint: <base URL>/process_image_base64POSTapplication/json| Parameter | Type | Description |
|---|---|---|
| base64 | String | The base64-encoded string of the ID document image |
FloatFloatFloatStringOk, Too close to camera!, Too close to border!, Document cropped!, Too small!, Multiple documents, Is Colorless!, Document not found!, Unknown{
"result": {
"portraitReplace": 0.590566158294678,
"printedCopy": 2.0435e-11,
"screenReply": 0.002031173091382,
"status": "Ok"
},
"resultCode": "Ok"
}