稳定信号未识别到付费功能中风险权限组合

OCR - Image Reader

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

用户数200K当前公开安装规模

评分4.1商店平均评分

评论数244公开评论体量

Manifest 版本V3插件平台版本

7日增长0近 7 天净增用户

7日增长率0%相对周增长速度

视觉预览

OCR - Image Reader 媒体预览

3 项素材

趋势

用户增长趋势

按已采集快照查看用户数变化。

用户增长趋势

评分趋势

近 7 日评分趋势

展示最近 7 日窗口内已采集的评分快照，辅助判断近期评分是否稳定。

7 日评分变化

起始值

4.11

日/周/月增长表现

同口径展示 1 天、7 天、30 天的绝对增长与增长率。

1日增长持平

00%

7日增长持平

00%

30日增长持平

00%

技术摘要

版本、语言与抓取信息

查看发布时间、版本、支持语言、最近更新和抓取时间。

版本0.5.0

ManifestV3

大小7.76MiB

语言数1English

发布时间--

插件简介

查看插件说明、主要功能和适用场景。

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:

评价

最新评论快照

查看最近评论和评分分布。

商店综合星级4.1Chrome 商店给出的聚合评分，包含只有打分但没有同步评论正文的情况

已同步评论均分4.0仅基于下方已同步评论正文计算

有内容评论186已同步的评论正文数量

总评分/评论数244Chrome 商店公开评分/评论计数

商店综合星级：4.1。下方星级分布只统计已同步评论正文；如果某个插件只有公开分数、没有真实评论正文，这里可能为空。

5★

118

4★

3★

2★

1★

Denis Bronskii2024年6月20日

Actually works, bypassed text copying with this 100%

Marwan2024年6月18日

Perfect! It works with any language.

Ronald B2024年6月9日

Does great work on webpages I wonder if it could be adapted to do OCR on pdfs that open in the browser

Alaa Alrahhal2024年6月3日

GREAT WORK WITH ARABIC TOO

Huỳnh Lam2024年5月8日

works perfectly! detect Chinese characters very well even some English words when choosing Chinese language. Convenient <3

Noah Vickers2024年4月26日

Does not work. Icon does not appear in Chrome as described. Uninstalled.

Ahmed kamal2024年4月23日

best one

Steven Gates2024年3月26日

Absolutely Brilliant! I really miss not having Google Lens in Google Chrome Browser running on a PC. It is kind of there - but you have to click on a picture on the page rather than capture the whole page. On a cell phone, I can screen capture any page, share that with Lens and then any text that is present is highlighted and I can sweep across what I want and copy the text into a notepad. I actually use this in Spotify to grab a copy of all music tracks in a playlist. (Beats having to manually type it all into a note on a small cell phone!) The Google Lens for PC Chrome browser doesn't work at all the same. It is, at this point, totally useless. HOWEVER this extension DOES WORK! I first tried using it like I do with Google Lens on a cell phone - grabbing a Spotify page where a first column lists the track name with the artist underneath and a second column with the album title. That didn't work so hot, resulting in a hodgepodge of text. So I tried just copying the first column alone... PERFECT! Absolutely Spot On!

Alasd Ameer2024年3月22日

It's very very good.

022024年3月9日

наверное лучшее из всех аналогов Text Grab`а, как и у всех есть редкие ляпы в тексте

共 186 条结果

1...4 5 6 7 8...19

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AI 产品解读

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.

目标用户: 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

付费分析

未识别到付费功能

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.

置信度: 97
支付平台: --
来源: AI / 高
需要登录: 否
登录理由: 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.

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扩展能力较强：storage、activeTab、scripting

发布者

brian.girko

独立发布者

邮箱: [email protected]
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