Stable signalNo paid features detectedMedium-risk permissions

OCR - Image Reader

A powerful optical character recognition (OCR) extension to capture and convert images to text

Users200KCurrent public install base

Rating4.1Store average score

Reviews244Public review volume

Manifest versionV3Extension platform version

7-day growth0Net users gained this week

7-day growth rate0%Relative weekly velocity

Preview

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7-day rating change

Start

4.11

Latest

4.11

7-day rating change

0.00

2026年7月15日2026年7月21日

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Technical snapshot

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Version0.5.0

ManifestV3

Size7.76MiB

Languages1English

Published--

Store updated--

Last crawled--

Overview

Product summary

Review the store description, core capabilities, and common use cases.

This extension adds a toolbar button to your browser to perform OCR. When this action button is pressed, it allows the user to select a region in the currently active window. The extension captures the area and tries to recognize text inside this region using the internal powerful OCR engine (Tesseract engine). This extension uses the "tesseract.js" library that supports more than 100 languages, automatic text orientation, and script detection.

This extension loads the JS library on the page and removes it when you are done. This way, there is no long-term resource usage.

Engines:

Tesseract: Only extracts plain text from images and doesn't preserve formatting

IBM Granite-Docling: it can accurately interpret headings, lists, styles (bold, italics), tables, and mathematical equations.

Notes:

Reviews

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Store average score4.1Chrome Web Store aggregate rating, including ratings without synced review text

Synced text average4.0Average computed only from synced review bodies below

Reviews with text186Synced review bodies

Total ratings / reviews244Chrome Web Store public rating/review count

Store average score: 4.1. The bars below are calculated from synced review text only, so they may be empty for extensions that have public ratings but no synced comments yet.

5★

118

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2★

1★

Levan Matskhonashvili2022年3月30日

It is a great tool, Very useful.

Attiq Khan2022年3月12日

Thanks, solved my problem

元生2022年2月5日

不能讀取繁體中文！垃圾軟件

Magic-X2022年1月30日

Amazing how far technology has come these days.

Sanjay Krish2022年1月27日

Works like charm. Simplifies a lot of mundane work

Scott Anderson2022年1月24日

The first run never completed, It just sat there not doing anything for over half an hour.

Jakub Greber2022年1月24日

It works, you just need to wait a little bit when something appears

Unnikrishnan R Pillai2022年1月21日

Better than all other apps

Zen Ace Computer2022年1月12日

its not working anymore

Atharv Baluja2022年1月1日

It works, I will start to use it while watching coding tutorials

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AI product read

Offline optical character recognition (OCR) that captures a user-selected region of any webpage and converts the image content to text

Users need to extract text from images, screenshots, or scanned content visible in their browser without manually typing it out. This solves the problem of converting visual text (in images, PDFs rendered as images, etc.) into selectable/editable digital text.

1. User clicks the extension toolbar button on any webpage. 2. A crosshair overlay appears for region selection. 3. User drags to select the area containing text. 4. Extension captures the visible tab as a screenshot, crops the selected region. 5. OCR engine (Tesseract or Granite-Docling based on accuracy setting) processes the cropped image offline. 6. A floating result panel appears showing extracted text with copy/export options. 7. For internal pages that can't be directly captured, the extension opens a cloned tab with the screenshot for region selection.

Target users: Researchers and students extracting text from academic papers or screenshots / Developers copying code or text from images/videos / Translators working with text in images in foreign languages / General users who need to quickly extract text from any visible webpage content / Accessibility users who need text from image-based content

The extension bundles large third-party libraries (Tesseract WASM ~4MB, transformers.js ONNX ~21MB WASM, KaTeX ~610KB) which are well-known open-source projects - no suspicious code injection detected
The 127.0.0.1:8080 references in elements.js appear to be example/test URLs in a demo, not a live backend
No privacy policy URL provided in the store listing

Monetization

No paid features detected

No payment infrastructure, premium tier, subscription model, or feature gating found anywhere in the extension source. All OCR engines (Tesseract and IBM Granite-Docling via ONNX) are fully accessible without any paywall. All 'pro' keyword hits are false positives (proceed, progress, Promise, provide, protocol, process, etc.). No Stripe, PayPal, or any payment platform integration detected. No premium/upgrade/purchase/buy keywords found.

Confidence: 97
Payment platform: --
Source: AI / High
Login required: No
Reason: The extension operates entirely offline with no authentication system, account creation, or login UI. No login/signup keywords found in source code. The extension performs OCR locally using Tesseract.js and ONNX Runtime (transformers.js) without requiring any user account or server-side authentication. All 'token' hits are from KaTeX parser library (linguistic tokens, not auth tokens) and 'account' hits are about 'accounting for' differences, not user accounts.

Permission risk

Medium-risk permissions

This estimate uses declared permissions and host permissions to assess access scope and sensitivity.

扩展能力较强：storage、activeTab、scripting

Publisher

brian.girko

Independent publisher

Email: [email protected]
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