amazon-science/semimtr-text-recognition
Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)
This helps automatically read and extract text from images and photos, even in challenging real-world settings. It takes an image containing text (like a street sign, product label, or document snippet) and outputs the recognized text. This is designed for professionals who need highly accurate text extraction from images, such as data entry specialists, archivists, or quality control inspectors.
No commits in the last 6 months.
Use this if you need to accurately recognize and digitize text from diverse images, including those with varied fonts, lighting, or angles.
Not ideal if you only need to recognize text from perfectly clear, machine-generated documents or if you're looking for a simple, out-of-the-box desktop OCR solution.
Stars
83
Forks
12
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 12, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/amazon-science/semimtr-text-recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin,...
breezedeus/CnSTD
CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测（Scene Text Detection）、数学公式检测（Mathematical Formula...
githubharald/SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
felixdittrich92/OnnxTR
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless,...
mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for...