Image Reader (OCR)

Easily get words out of an image with OCR engine!

As of June 2026, Image Reader (OCR) has 20,000 users and a 3.63/5 rating from 27 reviews in the Productivity category.

SevinaProductivity★ Featured
Usersno change0%
20.0K
20,000
Ratingno change0%
3.63
27 reviews
Reviewsno change0%
27
Version
0.2.0
Manifest V3

History

1 snapshots

Tracking since Apr 18, 2026.

20.2K20.0K19.8KApr 18, 2026Jun 9, 2026
View as table
DateUsersRatingReviewsVersion
Apr 18, 202620.0K3.63270.2.0
Now20.0K3.63270.2.0

Permissions & access

Permissions
storagecontextMenus
Host access
None declared

Screenshots

Image Reader (OCR) screenshot 1Image Reader (OCR) screenshot 2Image Reader (OCR) screenshot 3Image Reader (OCR) screenshot 4Image Reader (OCR) screenshot 5

About

Image Reader (OCR) extension helps you easily get words out of any image. It uses two different open-source OCR engines.

The 1st engine is called Tesseract. Tesseract.js is an open-source JavaScript library and is made via an Emscripten port of the famous Tesseract OCR Engine written in C and C++. Please visit (https://github.com/naptha/tesseract.js) to get more info. The 2nd engine, called Granite Docling, is developed by IBM (https://huggingface.co/ibm-granite/granite-docling-258M). Please note that when you choose IBM Granite Docling, the app needs to download training data (~1200MB) for the AI engine. So please be patient while it is loading.

To work with this addon, simply open the addon's interface and load your image via the file selector (top section). Before using the addon, please make sure to select the appropriate OCR engine and language. For Tesseract, the default OCR language is set to English. For Granite Docling, you do not need to set a language; just select the desired backend (CPU or GPU) and wait for the app to load completely.

Note: For the Tesseract OCR engine, this addon uses the "https://github.com/naptha/tessdata/tree/gh-pages/" GitHub repo to fetch language data required for the OCR operation. For the IBM Granite Docling, it uses "https://huggingface.co/onnx-community/granite-docling-258M-ONNX" to fetch training data required for the OCR operation. Both language data packs are very large and cannot be included in the addon package. 

To report bugs, please fill out the bug report form on the extension's homepage (https://mybrowseraddon.com/image-reader.html).

Technical

Version
0.2.0
Manifest
V3
Size
13.19MiB
Min Chrome
88
Languages
1
Featured
Yes

Metadata

ID
cakcfocedphbadddjpalejbkhflfbhmf
Developer ID
u945d559d572e22612b859d592da9a903
Developer Email
[email protected]
Created
Nov 10, 2018
Last Updated (Store)
Nov 10, 2025
Last Scraped
Jun 9, 2026
Website

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Data sourced from the Chrome Web Store · last verified Jun 9, 2026.