Extract text from images with Optical Character Recognition

Latest Version

Version

1.1

Update

September 17, 2022

Size

236KiB

Developer

ORC Text Snap Extension

Optical Character Recognition - Copy text from any image, video or PDF
===========

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.

Source Manifest.json

{"update_url": "https://clients2.google.com/service/update2/crx", "name": "ORC Text Snap", "description": "Extract text from images with Optical Character Recognition", "version": "1.1", "manifest_version": 2, "background": { "scripts": ["dist/main.js", "js/background.js"], "persistent": false }, "browser_action": { "default_icon": { "19" : "images/icon19.png", "38" : "images/icon38.png" }, "default_title": "Extract text from images" }, "options_ui": { "page": "html/options.html", "open_in_tab": false, "chrome_style": true }, "icons": { "16": "images/icon16.png", "48": "images/icon48.png", "128": "images/icon128.png" }, "homepage_url": "https://github.com/jofen-chrome-extensions/orc-text-snap", "web_accessible_resources": ["html/iframe/*", "images/Jcrop.gif", "images/pixel.png", "images/close.png"], "commands": { "take-screenshot": { "suggested_key": { "default": "Alt+S" }, "description": "Take Screenshot" } }, "permissions": [ "storage", "tabs", "activeTab", "clipboardWrite" ], "content_scripts" : [{ "matches" : ["*://*/*"], "js" : [ "vendor/jquery.js" , "js/inject.js" ], "css" : [ "css/inject.css" ], "run_at" : "document_start" }], "content_security_policy":"script-src 'self' 'unsafe-eval' https://cdn.jsdelivr.net; object-src 'self'"}

Download CRX(236KiB)

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User reviews

wry樵易夫 (ID: 000000a638426123) Voted 2 ★ - Updated 11/03/2022 不可用

Test Account (ID: 0000002c88764976) Voted 1 ★ - Updated 01/06/2022 Not working at all

Fabio Sabbion (ID: 000000548857294a) Voted 3 ★ - Updated 11/15/2021 doesn't work every time

Andrew Williams (ID: 0000006cd861ec71) Voted 3 ★ - Updated 02/06/2020 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

Get source code (.Zip)

Drop .crx file here or click
the button to choose the file

ORC Text Snap