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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Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
- ocr
- deep-learning
- crnn
- pytorch
OCR, layout analysis, reading order, table recognition in 90+ languages
Toolkit for linearizing PDFs for LLM datasets/training
pix2tex: Using a ViT to convert images of equations into LaTeX code.
- machine-learning
- transformer
- im2latex
- deep-learning
OCR model that handles complex tables, forms, handwriting with full layout.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.
- text-extraction
- document-intelligence
- metadata-extraction
- pdf-extraction
Trained models with fast variant of the "best" LSTM models + legacy models
- ocr
- tesseract
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
- computer-vision
- machine-learning
- artificial-intelligence
- plate-recognition
Transforms PDF, Documents and Images into Enriched Structured Data
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Scan the MRZ code of a passport and extract the firstname, lastname, passport number, nationality, date of birth, expiration date and personal numer.
- mrz
- passport
- scanner
- ocr
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation