him4318/Transformer-ocr
Handwritten text recognition using transformers.
This tool helps researchers, historians, and archivists automatically convert images of handwritten text lines into searchable digital text. You provide images of historical documents or handwritten notes, and it outputs the transcribed text, making content easier to analyze and retrieve. It's designed for anyone needing to digitize and process large volumes of handwritten materials.
160 stars. No commits in the last 6 months.
Use this if you need to accurately transcribe segmented lines of handwritten text from historical documents or other collections into a digital format for easier searching and analysis.
Not ideal if you need to recognize text from complex document layouts that aren't pre-segmented into text lines, or if you require extremely fast training times compared to alternative solutions.
Stars
160
Forks
28
Language
Jupyter Notebook
License
Unlicense
Category
Last pushed
Jul 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/him4318/Transformer-ocr"
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...