Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
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Updated
Nov 5, 2025 - C++
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
C++ interface for the Passport Reader system
Using a Raspberry Pi 5 with 8GB RAM and a CA1507 camera, equipped with the PaddleOCR algorithm (in a Paddle-Lite environment), enables the recognition of object dimensions and OCR code information. This solution can be applied as a universal model for recognizing and extracting text from all languages.
Image 2Text Using Qt6 C++ and Tesseract
ShadowverseWB Match Recorder & Analyzer: automated screenshot capture, template matching, OCR, and data visualization
Bank check information extraction/OCR from Magnetic Ink Character Recognition [MICR] (E-13B & CMC-7) using deep learning
C++ OCR Plate Recognition system
A Mobile Application built on Flutter with OCR and Text-To-Speech features for the visually impaired.
Test program to read characters on labels using openCV and Tesseract-OCR
PaddleOCR Lite document scanner on bare Raspberry Pi 4
ImMathWriter, an open source offline math formula OCR app.
Custom C++ implementation of deep learning based OCR
PaddleOCR Lite license plate detection on bare Raspberry Pi 4
Bank credit card deep layout analysis, fields extraction and recognition/OCR (ScanToPay) using deep learning
Perform optical character recognition on receipts
An OCR (Optical Character Recognition) cross-platform application for both iOS and Android, designed using Flutter and Android Studio
Text recognition with OpenCV and deep learning
Text recognition with OpenCV and tesseract
A Spell Checker that detects text using OCR and checks for mistakes in words using Tries
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