IDSDK - Linux
ID Document Recognition Linux Server SDK
Last updated
ID Document Recognition Linux Server SDK
Last updated
Our SDK is fully on-premise, processing all happens on hosting server and no data leaves your server.
14,000+ document templates covering IDs issued in 250+ countries and territories.
Support of 140+ languages and special characters via sophisticated neural networks.
Welcome to the MiniAiLive ID Document Recognition SDK! This SDK provides powerful tools for recognizing and extracting information from ID documents. The SDK is available for both Windows and Linux platforms and includes an API for integration.
Reduce drop-off and boost conversions with ID scanning and verification solutions. Quickly and securely capture, extract, and verify data from diverse ID cards, passports, driver’s licenses, and other documents with our proven, AI-first approach. Designed to fit seamlessly together, our technology can be integrated as a fully-bundled identity document verification solution or as separate modules via developer-friendly mobile or server SDK. Try it out today!
Python 3.6+
Linux
CPU: 2 cores or more
RAM: 4GB or more
Download the ID Document Recognition Linux Server Installer
Download the Server installer for your operating system from the following link:
Install the On-premise Server
Run the installer and follow the on-screen instructions to complete the installation. Go to the Download folder and run this command.
Request License and Update You can generate the License Request file by using this command:
Verify Installation After installation, verify that the On-premise Server is correctly installed by using this command:
If you can see 'Mini-drsvc.service', 'Mini-idsvc.service', the server has been installed successfully. Refer the below image.
Endpoint
POST
http://127.0.0.1:8082/api/check_id
<ID Document Recognition API>
Form Data:
image
: The image file (PNG, JPG, etc.) to be analyzed. This should be provided as a file upload
POST
http://127.0.0.1:8082/api/check_id_base64
<ID Document Recognition API>
Raw Data:
JSON Format
:
Other available endpoints here.
POST
http://127.0.0.1:8082/api/check_credit
<Bank & Credit Card Reader API>
POST
http://127.0.0.1:8082/api/check_credit_base64
<Bank & Credit Card Reader API>
POST
http://127.0.0.1:8082/api/check_mrz
<MRZ & Barcode Recognition API>
POST
http://127.0.0.1:8082/api/check_mrz_base64
<MRZ & Barcode Recognition API>
Response
The API returns a JSON object with the liveness result of the input face image. Here is an example response
We have included a Gradio demo to showcase the capabilities of our MiniAiLive ID Document Recognition SDK. Gradio is a Python library that allows you to quickly create user interfaces for machine learning models.
Install Gradio:
First, you need to install Gradio. You can do this using pip:
Run Gradio Demo:
To help you get started with using the API, here is a comprehensive example of how to interact with the ID Document Recognition API using Python. You can use API with another language you want to use like C++, C#, Ruby, Java, Javascript, and more
Prerequisites
Python 3.6+
requests
library (you can install it using pip install requests
)
Example Script
This example demonstrates how to send an image file to the API endpoint and process the response.
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1:1 & 1:N Face Matching
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1:1 & 1:N Face Matching
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1:1 & 1:N Face Matching
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1:1 & 1:N Face Matching, 2D & 3D Face Passive LivenessDetection
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1:1 & 1:N Face Matching, 2D & 3D Face Passive LivenessDetection
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2D & 3D Face Passive LivenessDetection
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2D & 3D Face Passive LivenessDetection
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2D & 3D Face Passive LivenessDetection
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2D & 3D Face Passive LivenessDetection
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1:1 Face Matching
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1:1 Face Matching
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Face Attributes, Age & Gender Estimation
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IDCard, Passport, Driver License, Credit, MRZ Recognition
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IDCard, Passport, Driver License, Credit, MRZ Recognition
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IDCard, Passport, Driver License, Credit, MRZ Recognition
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IDCard, Passport, Driver License, Credit, MRZ Recognition
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ID Document LivenessDetection
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ID Document LivenessDetection
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ID Document LivenessDetection
Then you can see the license request file on your directory, and send it to us via or . We will send the license based on your Unique Request file, then you can upload the license file to allow to use. Refer the below images.
Feel free to to get a trial License. We are 24/7 online on WhatsApp: .