Automatic and eco-friendly document scanning and OCR
Smart Engines offers custom pricing plan
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Introducing Smart Engines, the cutting-edge solution for automatic and environmentally friendly document scanning and OCR. Our advanced technology combines the power of AI with eco-conscious practices to deliver a seamless scanning experience for a variety of identification documents. With a ... Read More
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+7 495-649-82 60
Customer Service
Online
Location
Moscow, Russia
Introducing Smart Engines, the cutting-edge solution for automatic and environmentally friendly document scanning and OCR. Our advanced technology combines the power of AI with eco-conscious practices to deliver a seamless scanning experience for a variety of identification documents. With a comprehensive database of over 1810 ID types, including cards, passports, driver’s licenses, and more, Smart Engines offers a versatile and efficient solution for all your scanning needs. Our innovative scanner SDK is designed to provide fast and precise scanning capabilities for smartphones, web platforms, desktops, and servers. Operating fully autonomously, it extracts data from photos, scans, and even video streams, making it robust against varying capturing conditions. Rest assured, all ID scanning is securely performed on-device and on-premise, ensuring data privacy and security at all times. Smart Engines excels in automatic scanning of machine-readable zones, credit cards of various types, and a wide range of barcodes including PDF417, QR code, AZTEC, DataMatrix, and more – all in real-time through a smartphone camera. Delivering high-quality results regardless of lighting conditions, our SDK supports scanning for 21 different payment systems, making it a versatile and indispensable tool for mobile applications. Experience the power and efficiency of Smart Engines, your go-to solution for seamless and eco-friendly document scanning and OCR.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta