Keras.js VS Tesseract.js

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

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Keras.js Tesseract.js
1 32
4,951 33,498
- 2.2%
0.0 8.2
almost 2 years ago 9 days ago
JavaScript JavaScript
MIT License Apache License 2.0
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.

Keras.js

Posts with mentions or reviews of Keras.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-23.

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.

What are some alternatives?

When comparing Keras.js and Tesseract.js you can also consider the following projects:

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

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)

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

WebDNN - The Fastest DNN Running Framework on Web Browser

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

ConvNetJS - Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

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

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

Synapses - A group of neural-network libraries for functional and mainstream languages

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