Convert JPG to AVIF Online & Free

Use our fast online tool to convert JPG to AVIF in seconds and reduce file size without losing quality; this smart JPG to AVIF converter works in your browser, keeps your images secure, and delivers high‑quality results ready for the web with smaller file sizes.

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Frequently Asked Questions about converting JPG to AVIF

Find quick answers to common questions about converting JPG to AVIF. Below, we explain what AVIF is, how to convert files, quality and size tips, browser support, and privacy details. Use this FAQ to solve issues fast and get the best results from your image conversions.

What are the size and quality differences between JPG and AVIF files?

In general, AVIF delivers much smaller file sizes than JPG at the same visual quality. Expect AVIF to be roughly 30–70% smaller than an equivalent JPG, especially for images with gradients, low noise, or large flat areas. JPG is widely supported and fast to encode but produces larger files for comparable quality.

Quality-wise, AVIF uses modern compression (based on AV1) that preserves details, gradients, and edges with fewer artifacts, supports 10-bit color, HDR, alpha transparency, and better handling of noise. JPG is limited to 8-bit color, lacks alpha support, and can show blocking and ringing at lower bitrates. AVIF encoding can be slower, and compatibility varies by platform, while JPG works almost everywhere.

Will converting JPG to AVIF reduce image quality or introduce artifacts?

Converting a JPG to AVIF can maintain similar visual quality at smaller file sizes, but it depends on compression settings. If you re-encode a lossy JPG into lossy AVIF with aggressive compression, you may introduce new artifacts or amplify existing ones. Using higher quality settings typically preserves appearance while reducing size.

Because JPG is already lossy, any additional lossy conversion is a form of transcoding that can cause some cumulative degradation. To minimize quality loss, choose a conservative AVIF quality/bitrate, enable chroma subsampling appropriate for photos (e.g., 4:2:0 or 4:4:4 if desired), and avoid unnecessary re-encodes.

For best results, start from the original source (RAW/PNG) when possible. If you only have a JPG, compare outputs visually at different AVIF quality levels and zoom in to check edges, textures, and gradients for banding or blockiness. In many cases, AVIF can achieve equal-perceived quality at significantly lower sizes without noticeable artifacts.

What are the optimal compression settings for AVIF to balance size and quality?

For most use cases, a balanced AVIF preset is: cq 28–32 (constant quality), speed 4–6 (encoder-dependent), 4:4:4 or 4:2:0 chroma subsampling based on content, and 8-bit for web or 10-bit when gradients or HDR matter. Use aomenc/libaom: cq 28–30, speed 4–6, 10-bit if banding appears; rav1e: quantizer ~60–70, speed 4–6; svt-av1: cq 28–32, preset 5–7. Enable sharpness and film grain only if needed.

Tips: choose 4:2:0 for photos with little color detail; use 4:4:4 for graphics/text to avoid color fringing. Turn on adaptive quantization, enable tune=ssim/psnr only for diagnostics (not final), and prefer single-pass CQ for speed or two-pass VBR for tighter size targets. For thumbnails, raise cq to 34–38; for high-quality archives, lower to 24–26. Always visually check for banding and ringing; if seen, drop cq a few points or switch to 10-bit.

Are AVIF images supported by all browsers and devices after conversion?

No, AVIF is not supported by all browsers and devices yet; modern versions of Chrome, Edge, Firefox, and Android browsers offer broad support, while Safari supports AVIF starting from recent macOS and iOS versions, and some older or embedded browsers still lack compatibility. For reliable delivery, use a fallback strategy (e.g., serve AVIF with a WebP or JPEG alternative via picture/srcset), and verify target environments since support can vary by OS version, hardware, and browser build.

Does AVIF preserve EXIF metadata, color profiles, and transparency from the original JPG?

AVIF can store EXIF metadata, but whether it’s preserved when converting from JPG depends on the encoder and settings you use. Many tools strip metadata by default to reduce file size. To keep EXIF (camera info, date, GPS), choose an encoder/converter that explicitly supports copying EXIF and enable the option.

AVIF supports embedded color profiles (ICC) and color management via color primaries/transfer characteristics. If the original JPG has an ICC profile (e.g., sRGB, Display P3), a proper conversion can embed an equivalent profile or map colors correctly. Make sure your tool retains or embeds the ICC profile to avoid color shifts.

AVIF fully supports transparency (alpha channel). However, standard JPGs do not have transparency, so there is no alpha to preserve from a typical JPG source. If converting from a format that does have alpha (like PNG or HEIF with alpha), AVIF can maintain that transparency when configured to do so.

What is the best resolution or bitrate for AVIF when targeting web performance?

There’s no single “best” setting, but for web performance aim for the smallest file that meets your quality bar: use AVIF at visually lossless quality targeting 45–75% fewer bytes than the original JPEG/WebP; for photos try CQ 28–34 (or 0.4–0.6 quality in some tools) and for graphics/text try CQ 20–26; prefer 4:2:0 chroma for photos and 4:4:4 for UI/graphics; keep resolution only as large as needed (serve responsive srcset with widths near the rendered size, e.g., 1x and 2x DPR), and cap longest edge to what’s displayed (e.g., 1280–2560 px for hero images); enable delta/tiles and lossless alpha when needed; always measure with SSIM/PSNR-HVS and visually compare, then tune bitrates until you hit your performance budget.

How do I handle color accuracy and banding when converting high‑dynamic‑range JPGs to AVIF?

To preserve color accuracy and minimize banding when converting HDR JPGs to AVIF, keep the full ICC profile or set the correct color primaries (e.g., BT.2020 for HDR), transfer function (PQ or HLG), and matrix metadata; encode at 10‑bit or 12‑bit depth, enable chroma subsampling 4:4:4 or at least high‑quality 4:2:0, and use dithering to avoid gradient steps; choose a moderate quantization (lower Q, higher quality), disable aggressive chroma smoothing, and prefer lossless or near‑lossless for critical assets; if your pipeline is SDR‑only, apply proper tone mapping to sRGB and include the sRGB profile; finally, verify results on a calibrated display and compare histograms to catch clipping or gamut shifts.

Is there a maximum file size, dimensions, or batch limit when converting multiple JPGs to AVIF?

Yes—while the AVIF format itself has no strict standard limits, most online converters set practical caps: a maximum file size per image (commonly 20–100 MB), a maximum resolution (e.g., 12–30 megapixels or ~8,000 px on the longest side), and a batch limit (often 10–50 files per run) to ensure stable processing; if you hit limits, reduce image dimensions, compress the source JPGs, or split your upload into smaller batches.

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