Convert images of LaTex math equations into LaTex code.
- pytorch
- deep-learning
- transformer
- encoder-decoder
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Convert images of LaTex math equations into LaTex code.
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
An iOS OCR Server Using Apple’s Vision Framework
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
Open Source Virtual (Network) Printer for Windows that allows you to create PDFs, OCR text, and print images, with advanced features usually available only in enterprise solutions.
Rust library and CLI tool for OCR (extracting text from images)
A quick vibe coded app for deepseek OCR
基于PaddleOCR重构,并且脱离PaddlePaddle深度学习训练框架的轻量级OCR,推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.
(CRNN) Chinese Characters Recognition.
Using neural networks to build an automatic number plate recognition system
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Read Japanese manga inside browser with selectable text.
License Plate Detection and Recognition in Unconstrained Scenarios
Vision utilities for web interaction agents 👀
YomiTokuはAIを活用した日本語文書解析エンジンを提供するPythonパッケージです。 Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
MonkeyOCRv2 Vision Encoder — A Document-Native Visual Backbone
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Get clean data from tricky documents, powered by vision-language models ⚡
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding && Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities