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
Repository Index
47,133 repositories indexed
1–9 of 9 · Most stars
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
- nlp
- natural-language-processing
- hanlp
- pos-tagging
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
- python
- text-processing
- text-parser
- python-module
PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
- malware-analysis
- pdf-parsing
- pe-executable
- office-files