tesseract.js
GitHub describes it as Pure Javascript OCR for more than 100 Languages 📖🎉🖥. The repository metadata lists JavaScript as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
naptha/tesseract.js: README details
GitHub describes it as Pure Javascript OCR for more than 100 Languages 📖🎉🖥. The repository metadata lists JavaScript as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
Repository scope
GitHub describes it as Pure Javascript OCR for more than 100 Languages 📖🎉🖥. The repository metadata lists JavaScript as its primary language. The metadata lists the Apache-2.0 license. The README describes the project this way: Tesseract.js is a javascript library that gets words in almost any language out of images. (Demo)
README details
The README section "README details" states: Tesseract.js works in the browser using webpack, esm, or plain script tags with a CDN and on the server with Node.js. After you install it, using it is as simple as:
README details
The README section "README details" states: When recognizing multiple images, users should create a worker once, run worker.recognize for each image, and then run worker.terminate() once at the end (rather than running the above snippet for every image).
Installation
The README section "Installation" states: Tesseract.js works with a tag via local copy or CDN, with webpack via npm and on Node.js with npm/yarn .
Editorial conclusion
The repository README is the source for this review. It does not replace a local installation or an independent test.
Community notes