Screenshot to Text - Beta

Click and drag to select part of a webpage, and read it as text!

What is Screenshot to Text - Beta?

Screenshot to Text - Beta is a chrome extension that allows users to extract text from images on any webpage through the power of Optical Character Recognition (OCR) technology. Users can easily drag and select the portion of the webpage containing the text they want to extract. The selected text pops up in an alert box after the OCR process is complete. Useful for translating text or making it readable to screen readers, the application supports most Google domains, Amazon, Netflix, ESPN and more.

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Extension stats

By: jo*****@gmail.com

View on Chrome Web Store

Users: 755 ▲ 13

Rating: 1.25 (4)

Version: 1.0 (Last updated: 2021-12-14)

Creation date: 2021-12-14

Risk impact: Very low risk impact

Risk likelihood: Low risk likelihood

Manifest version: 2

Permissions:

activeTab

Size: 71.75K

Email: jo*****@gmail.com

Ranking

# 35056 ▲ 74

Other rankings

#4724 in Accessibility ▲ 5 #181 in drag keyword 31 ▼ 50 #223 in screen capture keyword 85 ▼ 29 #292 in paypal keyword 28 ▼ 18

Other platforms

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

Screenshot To Text / Browser Extension Turn any drag and drop selection to text by harnessing the power of OCR!

Usage:

Click the extension
Drag and drop to place a box around the text you want to extract
The text will pop up in Alert box once the OCR completes! Usecases: Great for extracting text from images with clear text. We needed this for a website with a lot of text in images, where some users need to extract text for translation to their primary language. This can easily be adjusted to read other languages, it's currently set to "eng (english)" but could be changed in a minute. This also has potentially use for blind users with screenreaders, but it does not address the challenge of placing the selection in the correct part of the image. TesseractJS has a function that supports finding text coordinates within an image, so this is a feasible future enhancement.

Supported Websites: Currently does not run on most sites, since the OCR is run on the primary worker, which is consumed/restricted in most large sites. Works on: