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Right click any image and extract its text instantly with offline OCR in a side panel. 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.
May 31, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.