{"repo":"MiniAiLive/ID-DocumentRecognition-Docker","free":true,"listed":false,"github":"https://github.com/MiniAiLive/ID-DocumentRecognition-Docker","clone":"git clone https://github.com/MiniAiLive/ID-DocumentRecognition-Docker.git","description":"MiniAiLive Intelligent ID OCR for Reliable Identity Verification From document verification to data entry, our MiniAiLive OCR solution can help transform your identity verification process.","language":"Python","stars":21,"topics":["authentication","biometrics","data-extraction","document-classification","document-reader","document-scanner","document-verification","ekyc-verification","id-card-recognition","id-detection"],"license":null,"category":"auth-billing-email","readme_excerpt":"ID Document Recognition Docker Welcome to the MiniAiLive! Welcome to the ID Document Recognition Docker! This Docker provides powerful tools for recognizing and extracting information from ID documents. The Docker 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. Try it out today! Note - Our SDK is fully on-premise, processing all happens on hosting server and no data leaves server. - 10,000+ document templates covering IDs issued in 200+ countries and territories. - Support of 100+ languages and special characters via sophisticated neural networks. Table of Contents - Installation Guide - API Details - Gradio Demo - Python Test API Example IDSDK Docker Installation Guide Prerequisites - Python 3.6+ - Linux - CPU: 2 cores or more - RAM: 8 GB or more Installation Steps 1. Download the ID Document Recognition Docker Image: Download the Server Docker Image from the following link: Download the On-premise Server Installer 2. Install the On-premise Docker Server: Run the Docker Image and follow the on-screen instructions to compl","default_branch":null,"files":null,"tree":[],"storefront":"/r/MiniAiLive","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MiniAiLive/ID-DocumentRecognition-Docker/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}