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#

ocr-engine

Here are 55 public repositories matching this topic...

Tesseract Open Source OCR Engine (main repository)

  • UpdatedFeb 12, 2025
  • C++

Fast and simple OCR library written in Swift

  • UpdatedDec 13, 2020
  • Swift

Java OCR 识别组件(基于Tesseract OCR 引擎)。能自动完成图片清理、识别 CAPTCHA 验证码图片内容的一体化工作。Java Image cleanup, OCR recognition component (based Tesseract OCR engine, automatically cleanup image and identification CAPTCHA verification code picture content).

  • UpdatedJul 30, 2021
  • Java

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

  • UpdatedApr 20, 2023
  • Python

⭐️ The native node.js bindings to the Tesseract OCR project.

  • UpdatedSep 10, 2018
  • C++

multi-task learning for text recognition with joint CTC-attention

  • UpdatedSep 29, 2019
  • Python

Android app to extract name, email and phone from business card using OCR library tess-two (Fork of Tesseract Tools for Android) and phone's camera.

  • UpdatedOct 14, 2019
  • Java

Efficient OCR engine for receipt image processing using Python, FastAPI, and Tesseract

  • UpdatedDec 4, 2024
  • Python

R Client for the Abbyy Cloud OCR

  • UpdatedJul 4, 2023
  • HTML

A simple Julia wrapper for Tesseract OCR

  • UpdatedAug 12, 2024
  • Julia

Engine for Optical Character Recognition to scan Business Cards locally on Android devices.

  • UpdatedAug 29, 2017
  • C

PyraDox is a python tool which helps in document digitization by extracting text information and masking of personal information with the help of Tesseract-ocr.

  • UpdatedMar 20, 2021
  • Python

Staff Identity Card OCR Project

  • UpdatedJan 19, 2019
  • Python

An OCR engine that works by finding pre-known letters in a word's image

  • UpdatedJul 29, 2019
  • Lua

Multiple OCR-engine interface

  • UpdatedFeb 26, 2019
  • Python

This Flask application empowers users to seamlessly upload image files like invoices or receipts, extract text using robust OCR technologies, and efficiently isolate key fields using precise regular expressions and multiprocessing to streamline data extraction and enhance productivity.

  • UpdatedDec 28, 2023
  • Python

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