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
1–24 of 24 · Most stars
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
- nlp
- embedding
- bert
- ernie
OCR & Document Extraction using vision models
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
State of the Art Natural Language Processing
Module for automatic summarization of text documents and HTML pages.
- python
- lsa
- textteaser
- html-page
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
Feature engineering and selection open-source Python library compatible with sklearn.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
- natural-language-processing
- nlp
- big-data
- data-mining
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
:hospital: Medical Text Mining and Information Extraction with spaCy
- natural-language-processing
- medical-natural-language-processing
- machine-learning
- metamap
Model extraction attacks on Machine-Learning-as-a-Service platforms.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- biology
- fluorescence
- image-analysis
- image-processing
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.
Search the web and primary sources, read full pages, and check every citation. MCP server for Claude, Cursor, Codex and more. Runs on your machine.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
- deep-learning
- plant-phenotyping
- nextflow
- scikit-image
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
- malware-analysis
- pdf-parsing
- pe-executable
- office-files