ORC Text Snap chrome extension

Version: 1.1
ORC Text Snap
Extract text from images with Optical Character Recognition
2.00 Based on 5 user rates

What is ORC Text Snap?

ORC Text Snap is a productivity chrome extension. it's a free extension , it has 1,000+ active users since released its first version, it earns an average rating of 2.00 from 5 rated user, last update is 586 days ago.


What’s new in version 1.1?

                Optical Character Recognition - Copy text from any image, video or PDF
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A handy tool to extract text from images, videos or PDF with just one click and crop instead of retyping the text character by character. A tipical use case is to copy any text from youtube videos, image formatted tutorials.

This tool copies text from images using the lightweight OCR engine [Tesseract.js](https://github.com/naptha/tesseract.js).

How to use it:
1. Click the icon, then select the area/image containing the text. 
2. Wait until the tool to extract the text for you.
3. Extracted result will show in a text box. You can then click the copy button to load it into your Clipboard and Ctrl + V to paste it anywhere.
4. There is an option to translate the extracted text into your selected language.
5. You can define the ORC language and targeted translation languages on the options page.            

How to install ORC Text Snap?

You could download the latest version crx file or older version files and install it.


Preview of ORC Text Snap


Technical Features:

  • Latest Version: 1.1
  • Requirements: Windows Chrome, Mac Chrome
  • License: Free
  • Latest update: Saturday, September 17th, 2022
  • Author: Jofen

ORC Text Snap Available languages:

English.


FAQ


Reviews of orc text snap:


Test Account January 5th, 2022
Test Account

Not working at all


Andrew Williams February 6th, 2020
Andrew Williams

Not very accurate. I was hoping to extract GUIDs from screenshots sent in to our ticketing system, but can't seem to get any of them near correct. On basic text in an image, it's quicker to type it out manually than correct what it detects

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