Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
github.com/JaidedAI/EasyOCR
What each tool is actually for, described plainly. No ratings, no scores, no invented benchmarks.
Vision and OCR: Reading images rather than making them: text extraction, document parsing, segmentation and object detection.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
github.com/JaidedAI/EasyOCR
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
github.com/IDEA-Research/Grounded-Segment-Anything
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.
github.com/PaddlePaddle/PaddleOCR
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
github.com/facebookresearch/segment-anything
We write your reusable computer vision tools. 💜
github.com/roboflow/supervision
OCR, layout analysis, reading order, table recognition in 90+ languages
github.com/datalab-to/surya
Tesseract Open Source OCR Engine (main repository)
github.com/tesseract-ocr/tesseract
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
github.com/huggingface/transformers.js
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
github.com/ultralytics/ultralytics