An efficient OCR engine for receipt image processing.
pytesseract 开源项目推荐(580 个)
pytesseract 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 580 个仓库一个用OCR玩《团战战略版》的机器人。跟踪替补、棋盘、物品,并使用用户自定义的队伍阵容。
Perform text detection in a variety of languages with your computer webcam using Google Tesseract OCR and OpenCV. This script achieves a real-time OCR effect via multi-threading.
通过Tesseract-OCR和Python的Google Translate API自动翻译漫画页面
Automated data extraction from engineering blueprint images.
To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a structured format
Dockerized Flask web app and HTTP API that extracts text from images and PDF files with Tesseract OCR, in multiple languages
Convert your ebooks to audiobooks. 📖->🎧
Comparison-of-OCR (KerasOCR, PyTesseract,EasyOCR)
The code for the blogpost A Python Approach to Character Recognition
In this code, a simple implementation of PDF to audio converter is shown
通过 pytesseract 自动旋转,从图片或支持目录中多个文件的 PDF 扩展名中获得 txt 格式的 OCR,并实现错误方向的自动旋转。PYPI:
Reinforcement Learning for Elden Ring on Windows11
A python script that solves ruzzle boards
Optical Character Recognition in Python.
🔎📝 This is a module to make specifics OCRs at food products and nutritional tables.
Deep Learning Individual Project - March 03, 2022.
Extracts Text out of Images using OpenCV and Pytesseract
Image pre-processing and OCR techniques with OpenCV and PyTesseract
Final year college project, based on Digital Image Processing, Computer Vision and Deep Learning. It is aimed towards helping visually impaired people to access digital media and information of their surrounding, through text recognition and objection classification.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/pytesseract。
- 该话题在 GitHub 上共有 580 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2281 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。