VikParuchuri/tabled
Detect and extract tables to markdown and csv
Language: Python
#deep_learning #ocr #tables
Stars: 245 Issues: 4 Forks: 7
https://github.com/VikParuchuri/tabled

umlx5h/LLPlayer
The media player for language learning, with dual subtitles, AI-generated subtitles, realtime-OCR, translation, word lookup, and more!
Language: C#
#asr #csharp #flyleaf #language_learning #media_player #ocr #player #tesseract #video #video_player #whisper #wpf #yt_dlp
Stars: 253 Issues: 5 Forks: 4
https://github.com/umlx5h/LLPlayer

ses4255/Versatile-OCR-Program
Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)
Language: Python
#doclayout #educational_data #exam_ocr #machine_learning #ml_datasets #multi_modal #ocr #openai #paper_ocr #table_parsing
Stars: 250 Issues: 0 Forks: 11
https://github.com/ses4255/Versatile-OCR-Program

TimmyOVO/deepseek-ocr.rs
Rust implementation of DeepSeek-OCR with OpenAI-compatible server & CLI No Python environment needed - just download and run.
Language: Rust
#candle #ocr #ocr_recognition #openai #rust
Stars: 808 Issues: 4 Forks: 61
https://github.com/TimmyOVO/deepseek-ocr.rs

majcheradam/ocrbase
📄 PDF ->.MD/.JSON Document OCR and structured data extraction API. PaddleOCR + LLM-powered parsing. Real-time WebSocket updates. Type-safe TypeScript SDK with React hooks. Self-hostable.
Language: TypeScript
#ai #bun #document_processing #drizzle #elysia #json #markdown #ocr #paddleocr #pdf #react_hooks #self_hosted #typescript #websocket
Stars: 523 Issues: 8 Forks: 31
https://github.com/majcheradam/ocrbase

zai-org/GLM-OCR
GLM-OCR: Accurate × Fast × Comprehensive
Language: Python
#glm #image2text #ocr
Stars: 439 Issues: 18 Forks: 21
https://github.com/zai-org/GLM-OCR

privatenumber/mac-ocr
macOS CLI for OCR and searchable PDFs using Apple's Vision framework.
Language: Swift
#apple_vision #cli #command_line_tool #image_to_text #macos #nodejs #ocr #pdf #searchable_pdf #swift #text_recognition #vision_framework
Stars: 367 Issues: 0 Forks: 16
https://github.com/privatenumber/mac-ocr

awlevin/typesafe-computer-use
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Language: Python
#ai_agents #automation #computer_use #macos #ocr #typesafe
Stars: 773 Issues: 12 Forks: 60
https://github.com/awlevin/typesafe-computer-use