Tesseract.js VS ConvNetJS

Compare Tesseract.js vs ConvNetJS and see what are their differences.

Tesseract.js

Pure Javascript OCR for more than 100 Languages 📖🎉🖥 (by naptha)

ConvNetJS

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. (by karpathy)
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Tesseract.js ConvNetJS
32 -
33,498 10,724
2.2% -
8.2 0.0
8 days ago over 1 year ago
JavaScript JavaScript
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.

Tesseract.js

Posts with mentions or reviews of Tesseract.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-14.

ConvNetJS

Posts with mentions or reviews of ConvNetJS. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning ConvNetJS yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Tesseract.js and ConvNetJS 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)

Brain.js - Simple feed-forward neural network in JavaScript

Synaptic.js - architecture-free neural network library for node.js and the browser

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

Keras.js - Run Keras models in the browser, with GPU support using WebGL

Dannjs - Easy to use Deep Neural Network Library for JavaScript.

sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.

deeplearn.js

BoofCV - Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

Mind.js - A neural network library built in JavaScript