Scan, index, and archive all of your paper documents (acquired by Mayan EDMS)
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Convolutional recurrent network in pytorch
- neural-network
- scene-texts
- recognition
Get any text on your screen into your clipboard.
A tool to convert a Wallpaper's color scheme / palette, OCR with VLM's Traditional & Hybrid, Image Compression ,color palette extraction, image upsacling with Adversarial Networks and more image processing features.
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
- handwritten-text-recognition
- ocr
- recurrent-neural-networks
- tensorflow
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
- torch7
- sequence-recognition
- computer-vision
- machine-learning
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
- document
- document-analysis
- extraction
- llms
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.
Copy any text on your screen, stop retyping.
- macos
- productivity
- ocr
- textrecognition
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.
- document-layout-analysis
- license-plate-recognition
- ocr
- onnx-models
Using neural networks to build an automatic number plate recognition system
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.
- extraction
- tika
- unstructured
Read Japanese manga inside browser with selectable text.
- japanese
- manga
- ocr
- comics
Best (most accurate) trained LSTM models.
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"
- table-recognition
- table-structure-recognition
- table-detection
- table-detection-using-deep-learning
Get clean data from tricky documents, powered by vision-language models ⚡
- multimodal
- large-language-models
- scrapers
Fast, accurate OCR with correctness assessment.
- image2text
- minicpm-v
- ocr
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding && Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation
An open-source alternative to Mathpix Snip Tool. Instantly extract LaTeX, math equations, and text from images and screenshots. | 开源 Mathpix 替代工具，支持公式截图转 LaTeX，请在Releases中下载最新版
- latex
- mathpix
- mathpix-ocr
- paddleocr