Question 1

How accurate is ocrad.js compared to Tesseract?

Accepted Answer

ocrad.js is less accurate than Tesseract because it uses a rule-based engine from the older Ocrad library. It's best for simple, clean text but may produce garbage output on complex images, as noted in the README.

Question 2

How to use ocrad.js to extract text from an image in JavaScript?

Accepted Answer

Include ocrad.js via a script tag or module, load an image element or blob, and call the OCR function. Check the project's GitHub repository for example code and integration steps.

Question 3

Can ocrad.js recognize handwriting from images?

Accepted Answer

Yes, it can handle some handwriting, especially on touchscreens, but accuracy is limited. The README mentions it for device-agnostic input, but results may be inconsistent.

Question 4

Does ocrad.js work offline in Progressive Web Apps?

Accepted Answer

Yes, ocrad.js is designed for offline use since it runs entirely client-side. This makes it suitable for PWAs and browser extensions that need text extraction without internet access.

Question 5

What are the browser compatibility requirements for ocrad.js?

Accepted Answer

It relies on Emscripten and standard JavaScript, so it should work in modern browsers. However, performance may vary on older devices, and testing is recommended for specific environments.

Question 6

How to handle poor recognition results with ocrad.js?

Accepted Answer

Improve results by preprocessing images to enhance contrast and clarity. Since accuracy is limited, consider adding user correction features or fallback options for critical applications.

ocrad.js

What is ocrad.js?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions