mmocr VS LaTeX-OCR

Compare mmocr vs LaTeX-OCR and see what are their differences.

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mmocr LaTeX-OCR
6 21
4,077 10,770
3.1% -
4.7 3.6
7 days ago about 1 month ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mmocr

Posts with mentions or reviews of mmocr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-28.

LaTeX-OCR

Posts with mentions or reviews of LaTeX-OCR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-14.

What are some alternatives?

When comparing mmocr and LaTeX-OCR you can also consider the following projects:

PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)

transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"

doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

PaperTools - Tools for writing papers

deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

iam-crnn-ctc-recognition - IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer

rebiber - A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

Pix2Text - Pix In, Latex & Text Out. Recognize Chinese, English Texts, and Math Formulas from Images. 80+ languages are supported.