Automatic and eco-friendly document scanning and OCR

Smart Engines — The Science-Driven AI Platform for Document Scanning

  • A research-driven leader in AI technologies for document recognition and data extraction
  • Global document-coverage supporting 3,000+ document types and 5,000 unique templates across 220+ countries
  • OCR language scanning in 100+ languages, including Arabic, Chinese and Japanese
  • Ultra-efficient 4.6-bit AI architecture delivering blistering speed and precision across all use cases
  • Proprietary models for classification, sorting and recognition on mobile, desktop and server
  • Zero Trust Security with the “Three NOs” principle: no data transmitted, no data stored, no internet required
  • GreenOCR® technology enables recognition with up to 30-40× lower energy consumption, reducing carbon footprint.
  • Backed by 15+ U.S. patents covering core AI methods, architectures and document-analysis technologies
Smart Engines — The Science-Driven AI Platform for Document Scanning

Test Drive Smart Engines

  • Download the demo app and experience every feature in one place
  • Go into airplane mode and verify that your images and data stay on your device
  • Scan passports, ID cards, passports, driver’s licenses, MRZ, bank cards, QR code, PDF417 and other barcodes in photos and in a real-time video stream
  • Test recognition on originals and copies under various capture conditions
  • Notice the lightning-fast recognition and see a measurable confidence score for each field. With the SDK installed on your server, processing becomes tens of times faster

News

30.09.2025

Smart Engines Expands ID Document Scanning and Authentication Capabilities to Iran and Pakistan

Smart Engines has enhanced its document recognition and verification technology with support for ID documents in Urdu and Persian. This advancement was made possible through the development of the world’s first specialized dataset for these languages—MIDV-UP—featuring more than 9,000 images of ID documents from Pakistan and Iran. The dataset was…

16.09.2025

Smart Engines launches GreenOCR® 2.0 with 10х higher accuracy and 20% faster document scanning

Smart Engines has released GreenOCR® 2.0, the new generation of its eco-friendly AI technology for document scanning and data extraction. The updated ultralight computing architectures have increased processing speed by 20% and reduced power consumption during recognition. The error rate has been reduced tenfold compared to the previous version. GreenOCR®…

24.06.2025

Smart Engines Unveils a Multimodal AI System for Document Forgery Detection

Smart Engines has introduced the first multimodal AI technology designed to detect forged documents. The solution verifies the authenticity of documents from around the world for using 600 parameters and identifies complex forgeries during both in-person and remote verification, including KYC/AML processes. The model is built on the principles of…

19.05.2025

Smart Engines Secures U.S. Patent for Advanced Document Verification Technology using Smartphones

Smart Engines has been granted a U.S. patent for its proprietary AI-driven technology designed to detect and verify security holographic elements in passports and ID documents in a video stream. The new method enables real-time authentication of identity documents with complex holographic elements using a smartphone. The newly issued patent…

U.S. Patents

  • Reducing False Detections in Template-based Classification of Identity Documents
  • Method for Holographic Elements Detection in Video Stream
  • Real-time monitored computed tomography (CT) reconstruction for reducing radiation dose
  • Accelerated filtered back projection for computed tomography image reconstruction
  • Systems and methods for monitored tomographic reconstruction
  • Computed  tomography (CT) image reconstruction from polychromatic projection data
  • bipolar morphological neural networks
  • Efficient location and identification of documents in images
  • Artificial intelligence using convolutional neural network with Hough transform
  • Text recognition in a video stream using a combination of recognition results with per-character weighting
  • Systems and methods for monitored tomographic reconstruction
  • Approximate modeling of next combined result for stopping text-field recognition in a video stream
  • Artificial intelligence using convolutional neural network with hough transform
  • Method for holographic elements detection in video stream

Send Request

Please fill out the form to get more information about the products,pricing and trial SDK for Android, iOS, Linux, Windows.

    Send Request

    Please fill out the form to get more information about the products,pricing and trial SDK for Android, iOS, Linux, Windows.