AVIF Converter

How to Use the AVIF Converter

1. Drop a JPEG, PNG, WebP, or HEIC into the upload area. Files up to 100 MB are accepted; the form sniffs the type from the file rather than trusting the extension.
2. Pick a quality value using the slider. 60 is a strong default for web delivery; 80 or higher is portfolio-grade; values below 40 produce thumbnail-grade output that still beats JPEG of the same size.
3. Click Convert to AVIF. The encoder runs server-side - this is intentional, browser-based AVIF encoding is too slow and inconsistent across vendors.
4. Watch the progress bar. Upload, encode, and download are streamed through the same job; encoding a 12-megapixel photo at quality 60 takes a few seconds.
5. Download the AVIF file. The signed URL is valid for 15 minutes; the source upload is also deleted in that window.

What AVIF Gets You Over JPEG and WebP

AVIF wraps AV1's intra-frame codec into a still-image container (ISO/IEC 23000-22). At equivalent perceived quality, AVIF files are typically half the size of an equivalent JPEG and 20-30% smaller than the same image as WebP. The codec gains come from three places: smarter intra-frame prediction (the encoder predicts each block from the surrounding context and only encodes the residual), advanced entropy coding with arithmetic coding, and richer transform modes that match a wider range of texture types. AVIF also supports a real alpha channel, 10 and 12-bit colour, and HDR static metadata, which JPEG cannot do at all and WebP can only partly do. For a 2026 image pipeline where storage and bandwidth matter, AVIF is the smallest format you can ship without losing visible quality.

When AVIF Is Worth It and When It Is Not

AVIF shines on photographic content above roughly 800x600. The codec's intra-frame prediction needs enough pixels to amortise its overhead; tiny icons and logos under 50 KB are sometimes larger as AVIF than as PNG or WebP because the container metadata dominates. AVIF also benefits images with smooth gradients (skies, skin, bokeh) where AV1's predictors collapse entire blocks into a few bytes. Where AVIF underperforms is on already-compressed images: re-encoding a JPEG into AVIF cannot recover detail JPEG threw away, and the output simply preserves the JPEG artifacts in a smaller file. For maximum savings, encode AVIF from the original lossless master (PNG or RAW) when you can.

Common AVIF Scenarios

• Replacing a 1.2 MB hero JPEG with a 380 KB AVIF, dropping Largest Contentful Paint on mobile from 3.1 s to 1.9 s.
• Re-encoding a product gallery from WebP to AVIF and seeing total page weight drop 28% without any visible quality change.
• Shipping a 64-image lookbook as a single AVIF container per page so the gallery loads in two viewport repaints.
• Converting iPhone HEIC photos to a portable AVIF for a private cloud, getting smaller files than the HEIC source and broader browser support.
• Producing 10-bit AVIF for a HDR portfolio site, preserving the Display P3 wide-gamut metadata that JPEG silently drops.
• Cutting CDN egress bills on a high-traffic image board by serving AVIF to modern browsers and JPEG to legacy clients via a picture element.

Privacy, Limits, and Performance Notes

Files are processed on EU servers. Both the upload and the AVIF output are deleted from disk 15 minutes after they are created; signed download URLs expire when the file is removed. Inputs are limited to 100 MB, which comfortably handles every reasonable photo source including 60-megapixel medium-format JPEGs. The encoder is single-threaded for fairness; a 12-megapixel input at quality 60 typically encodes in a few seconds, a 36-megapixel input in tens of seconds. The encoder honours the source colour profile, so a Display P3 photo survives without being clamped to sRGB the way Canvas-based browser encoders silently do.

How This Compares to Other AVIF Paths

Squoosh.app exposes AVIF speed and effort knobs (libaom presets) for users who want to trade encode time for compression efficiency, but its browser runtime is slow because libaom-wasm is single-threaded JavaScript. The command-line cavif binary is the fastest desktop encoder for typical web work; ImageMagick 7 supports AVIF via libheif, which is what we use server-side. Sharp (libvips with libavif) is the lightest path for Node pipelines and is the underlying library this tool calls. Each route lands in roughly the same place quality-for-size; the differentiator is throughput. Use this tool when you want a one-off privacy-preserving encode without installing anything; use Squoosh for parameter exploration; use the CLI for batch jobs.