OCR Extract Text from Image
Right click any image and extract its text instantly with offline OCR in a side panel.
As of June 2026, OCR Extract Text from Image has 62 users in the Productivity category.
Usersup 26.5 percent+26.5%
62
62
Ratingno change0%
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— reviews
Reviewsno change0%
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Version
0.2.14
Manifest V3
History
4 snapshotsTracking since Apr 1, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| Apr 1, 2026 | 49 | — | — | 0.2.14 |
| May 7, 2026 | 56 | — | — | 0.2.14 |
| May 18, 2026 | 58 | — | — | 0.2.14 |
| Jun 1, 2026 | 59 | — | — | 0.2.14 |
| Now | 62 | — | — | 0.2.14 |
Permissions & access
- Permissions
- contextMenussidePanelactiveTabstoragedownloads
- Host access
- <all_urls>
Screenshots
About
When you work on the web—researching, studying, coding, or simply sharing memes—you constantly bump into information trapped inside images. A screenshot of a zoom-call slide, a social-media infographic, the label on a product photo: each holds text you’d rather copy-paste than re-type. After installation the extension registers a single context-menu entry that appears only when you right-click an image element. No clutter in normal menus, no toolbar buttons to remember—just “Extract text from image” exactly where you expect it. Click once and a Chrome side panel slides in, showing a friendly progress spinner followed by a textarea containing the recognised text. From that textarea you can: Copy the full result with one click. Real-World Use Cases Academic research – Copy inline citations or obscure symbols from scanned PDFs without launching a separate app. Software development – Snag cryptic compiler errors shown in an embedded screenshot on Stack Overflow so you can search them directly. Content creation – Extract quotes from Twitter images for alt-text or blog posts, preserving accessibility. eCommerce & logistics – Pull serial numbers or SKU codes from product photos to paste into inventory software. Language learning – Grab foreign words on a signpost photo and drop them into your flash-card deck. In every scenario the side-panel model keeps the source page visible, so you can verify that the recognised text matches the image without juggling windows.
Technical
- Version
- 0.2.14
- Manifest
- V3
- Size
- 3.38MiB
- Min Chrome
- 88
- Languages
- 40
- Featured
- No
Metadata
- ID
- lejglegpfbcohncdakomljddbkljhden
- Developer ID
- uc1ce873db8cb164037f18b772cd31bd1
- Developer Email
- [email protected]
- Created
- May 31, 2025
- Last Updated (Store)
- May 31, 2025
- Last Scraped
- Jun 1, 2026
- Website
- —
- Support URL
- —
- Privacy Policy
- —
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Data sourced from the Chrome Web Store · last verified Jun 1, 2026.