Optical Character Recognition

Or commonly called OCR is a technology that recognizes text within an image. There are different ways of achieving OCR one common approach is to use deep learning. I've implemented a systemes to recognize text from an image.

You can try optical character recognition using the interface below. For now only English is supported. I have enabled auto-submit for faster responses, so don't have to wait too long to see the results.

Optical Character Recognition

or drag and drop your file here

Text

Your OCR history

Date and time Detected Text

Web OCR Application

  • To extract text from an image, simply drag and drop your image or use the "Choose Image" button. Your image is automatically submitted, and the extracted text is returned.
  • The text is saved for 2 hours in your browser storage, allowing you to copy it.
  • After 2 hours, OCR history are deleted, so be sure to copy your text!
  • My web OCR application doesn't use or save any user data at any time. Your text is saved on your computer, where only you can access it.
  • Do not upload sensitive images, as there is no safeguard in place, and your image may be used by OCR Space.

API OCR

  • I use the OCR Space API to perform optical character recognition on images. It provides good accuracy and is fast.
  • You have a rate limit of 500 requests per day using their OCR Engine 2.
  • OCR Space is a cloud-based OCR service that can extract text found in a image.
  • It supports multiple languages, but currently, only English is supported in my application.
  • It supports various image formats, including PNG, JPEG, PDF and offers excellent accuracy.
  • For now, only images are supported, OCR with video is coming soon!
  • Link to OCR Space API