Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
- ocr
- chineseocr
- pdf2markdown
- pp-ocr
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Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
A community-supported supercharged document management system: scan, index and archive all your documents
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
TranslatedAn entry-level project for face, video, and text detection and recognition.
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ https://greasyfork.org/en/scripts/437569-cotrans-manga-image-translator-regular-edition
A Comprehensive Toolkit for High-Quality PDF Content Extraction
TranslatedA GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files. Extracts hard subtitles from videos and generates srt files. No need to apply for a third-party API; text recognition is done locally. A deep-learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction.
PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
All-in-One Development Tool based on PaddlePaddle
yolo3+ocr
Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding && Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities