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Identify fonts from selected text on webpages FindFont - A Font Identifier for Web Developers & Designers Instantly identify any font on any webpage with just a simple text selection. FindFont is the essential tool for web developers, designers, and typography enthusiasts who need quick and accurate font information. Key Features One-Click Font Detection Simply select any text on a webpage to instantly identify the font family, size, weight, color and style properties. Comprehensive Font Information Get detailed font metrics including: • Font family name • Font size • Font weight (normal, bold, etc.) • Font color • Font style (normal, italic, oblique) • A preview of the current font Easy Copy & Paste Copy individual font properties or all font information at once to your clipboard for use in CSS, design tools, or documentation. Perfect For ✓ Web Developers - Debug font issues and inspect typography ✓ UI/UX Designers - Discover fonts for design inspiration ✓ Typography Enthusiasts - Learn about font usage across the web Privacy First • No data collection or tracking • All processing happens locally in your browser • No external servers or third-party services • Your browsing activity remains private How to Use 1. Install the extension 2. Navigate to any webpage 3. Select text you want to analyze 4. View font information instantly 5. Click the extension icon for detailed results Simple, fast, and reliable - FindFont makes font identification effortless for everyone. Need help? Visit our GitHub repository for support and feature requests.
Jul 29, 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.