All-in-One AVIF Converter

Secure, Browser-based AVIF conversion. Zero uploads.

What is AVIF?

AVIF (AV1 Image File Format) represents a quantum leap in web image compression. Built on the advanced AV1 video codec, it delivers significantly smaller files than JPEG or WebP without compromising visual fidelity. With support for 12-bit color depth, HDR, and lossless compression, AVIF is the definitive choice for modern, high-performance web experiences.

Why AVIF is the Future

Extreme Compression

Achieve up to 50% smaller file sizes compared to JPEG and WebP while maintaining superior visual quality, drastically reducing bandwidth costs.

HDR & 12-bit Color

Unlock professional-grade color depth with support for High Dynamic Range (HDR) and Wide Color Gamut (WCG), eliminating color banding for smoother gradients.

Universal Versatility

A single format for every need: supports lossy and lossless compression, transparency (alpha channel), and animations, replacing GIF, PNG, and JPEG entirely.

Open Standard

Royalty-free and open-source, backed by the Alliance for Open Media (Google, Amazon, Netflix), ensuring long-term compatibility and adoption.

How to Use & Convert

Instant Browser Preview

Drag and drop directly into Chrome, Firefox, or Safari to view instantly.

Windows Integration

Install the AV1 Video Extension from the Microsoft Store for native system support.

Professional Viewing

Compatible with industry-standard viewers like XnView and IrfanView.

One-Click Conversion

Drop, Convert, and Optimize instantly with SmallAVIF's local processing engine.

The Performance Impact

For Users

Experience lightning-fast page loads and cinema-quality visuals on any device, even over slow networks.

For Developers

Boost Core Web Vitals scores, reduce CDN costs, and deliver a cutting-edge visual experience with minimal effort.

Why SmallAVIF?

Lightning Fast

Processed locally in your browser. No upload wait times.

Secure & Private

Your files never leave your device. 100% privacy guaranteed.

High Quality

Advanced compression algorithms for the best visual quality.