Once to show the user their original image of choice and once to highlight the words that were matched. We would like it to render the image twice. Let’s create a simple application to recognize text in an image. After that I changed the path to the worker inside tesseract like so: = ‘ and everything worked correctly. I copied a file called from node_modules/tesseract.js, and pasted it to my public folder from which I serve my static files. In reality, though, I kept getting an error about missing worker.js file, and since the docs and very thorough googling wasn’t of much help I used a workaround. At least according to the package’s docs. To add tesseract to a project we can simply type this in the terminal: npm install tesseract.jsĪfter importing it into our codebase everything should work as expected. I would like to focus on working out how to add tesseract.js to an application and then check how well it does its job by creating a function to mark all of the matched words in an image. There is a very promising JavaScript library implementing OCR called tesseract.js, which not only works in Node but also in a browser - no server needed! Having done a little research I came across Optical Character Recognition - a field of research in pattern recognition and AI revolving around precisely what we are interested in, reading text from an image. I was curious and decided to dig a little deeper to see what exactly was going on. Many note-taking apps nowadays offer to take a picture of a document and turn it into text. How to extract text from an image using JavaScript Maciej Cieślar Follow A JavaScript developer and a blogger at.
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