Fontjoy

Fontjoy is a free web-based tool that uses deep learning to generate beautiful font pairings with a single click. The tool helps designers, developers, and content creators find harmonious typography combinations for their projects by analyzing font characteristics and suggesting complementary pairings for titles, subtitles, and body text.

The application leverages neural network technology to understand the visual relationships between fonts and generate balanced contrast pairings. Users can quickly iterate through different combinations until they find the perfect match for their design needs.

• One-Click Generation allows users to instantly generate new font pairings by clicking the Generate button, making typography selection fast and effortless.

• Balanced Contrast Control provides a slider to adjust the level of contrast between paired fonts, from subtle similarities to dramatic differences.

• Three-Tier Typography System displays font recommendations for title, subtitle, and body text simultaneously, giving a complete typographic hierarchy.

• Lock Feature enables users to lock specific fonts they like while regenerating others, allowing for targeted exploration of complementary options.

• Recommended Pairings List offers curated suggestions for each font position, helping users discover proven combinations.

• Font Visualizer provides an additional tool to explore and visualize fonts in a projector-style interface for deeper analysis.

• Google Fonts Integration uses fonts from the Google Fonts library, ensuring all suggested pairings are free and web-ready.

To get started, simply visit the website and click the Generate button to create your first font pairing. Use the lock icons to keep fonts you like, adjust the contrast slider to fine-tune the relationship between fonts, and click the list icon to see recommended pairings for any position. The tool is completely free to use with no registration required.

Also check out the Embedding Projector where you can visualize the raw data sent through the tensorflow embedding