lithium0003/findtextCenterNet
Japanese OCR with CenterNet
This project helps anyone who needs to convert Japanese text from images into editable digital text. It takes a picture or scanned document containing Japanese characters—whether handwritten or typed—and outputs the recognized text as a string of characters. This tool is for researchers, historians, content creators, or anyone needing to digitize Japanese documents for analysis or archiving.
No commits in the last 6 months.
Use this if you need to extract Japanese text accurately from images, including complex layouts with furigana (rubi), emphasis marks, and even handwritten content.
Not ideal if you primarily work with languages other than Japanese, as this tool is specifically optimized for Japanese character recognition.
Stars
57
Forks
5
Language
Python
License
MIT
Category
Last pushed
Aug 02, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lithium0003/findtextCenterNet"
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...