Batch-convert AVIF images to JPG with quality control, custom background fill for transparency, smart resize with centre-crop, text watermark, live side-by-side preview, and real-time savings stats. 100% private — everything runs in your browser.
Configure settings below, then drop or select your AVIF images
Professional AVIF-to-JPG conversion with every tool you need, completely free and 100% private.
Convert unlimited AVIF files to JPG at once with real-time per-file progress bars and instant status updates.
JPEG has no transparency — choose any hex colour to replace transparent areas. White, black, brand colours, anything.
Click any file to preview Original, JPG Output, or a side-by-side comparison before downloading.
Dial in JPEG quality from 1–100 with a live badge showing the selected level. Find the perfect size-quality balance.
Resize by width, height, %, custom dimensions, max dimension, or centre-crop to exact pixel dimensions.
Overlay copyright or branding text with configurable position (5 options) and opacity. Baked into the final JPG.
Remove EXIF, GPS location, camera info and other metadata from JPG output for privacy and smaller files.
All conversion runs locally via the HTML5 Canvas API. Your files never leave your device — ever.
Real-time savings shown per file and across the full batch — total files, converted, original size, output size, and % saved.
"Cover" mode crops images to exact dimensions from the centre — perfect for e-commerce, social media, and thumbnails.
Keep original names, add a prefix or suffix, auto-number outputs, or append a timestamp to each filename.
Fully touch-optimised with large tap targets. Works beautifully on phones, tablets, and desktops alike.
Everything you need to know about converting AVIF images to JPEG format
AVIF (AV1 Image File Format) is one of the newest image formats available, created by the Alliance for Open Media. It offers remarkable compression efficiency — often producing files 50% smaller than JPEG at equivalent visual quality — and supports advanced features like HDR (High Dynamic Range), wide colour gamut, and full transparency (alpha channel). Despite these technical advantages, AVIF remains limited in practical compatibility outside of modern browsers, making it difficult to use in many real-world scenarios.
JPEG (Joint Photographic Experts Group), by contrast, is the most universally supported image format ever created. Every device — from a digital camera to a 10-year-old smartphone, from a thermal receipt printer to the most advanced design software — can open, display, and process JPG files without any configuration or compatibility issues. When universal accessibility is required, converting AVIF to JPG is always the right move.
Choosing the right format depends entirely on your use case. Here is a comprehensive side-by-side comparison of AVIF, JPEG, and WebP across every important dimension:
| Feature | AVIF | JPEG / JPG | WebP |
|---|---|---|---|
| Compression Efficiency | Excellent | Good | Very Good |
| Lossy Compression | ✓ Yes | ✓ Yes | ✓ Yes |
| Lossless Compression | ✓ Yes | ✗ No | ✓ Yes |
| Alpha Transparency | ✓ Yes | ✗ No | ✓ Yes |
| HDR / 10-bit Colour | ✓ Yes | ✗ No | ✗ No |
| Animation | ✓ Yes | ✗ No | ✓ Yes |
| Global Browser Support | ~80% | Universal | 95%+ |
| OS Native Viewer | Limited | Universal | Partial |
| Email Client Support | Poor | Universal | Partial |
| Social Media Support | Limited | Universal | Partial |
| Print Service Support | Rare | Universal | Rare |
| Avg File Size vs PNG | 60–80% smaller | 30–50% smaller | 25–50% smaller |
This free AVIF to JPG converter is designed to be intuitive on any device — whether you are on a desktop computer, a tablet, or a smartphone. Here is a complete step-by-step walkthrough:
This is the single most important concept when converting AVIF to JPG. AVIF supports full transparency — meaning parts of the image can be completely invisible, with no colour data at all. JPEG, however, is a format that pre-dates modern transparency standards and has no mechanism for storing alpha channel data. Every pixel in a JPG must have a colour.
When converting without specifying a background, most tools default to black — resulting in dark or patchy output images that look broken. Our tool gives you full control over what colour fills those transparent areas. White (#ffffff) is correct for logos and product images on white backgrounds. Black (#000000) works for dark-themed graphics. A custom brand colour ensures your images are ready for direct use without further editing.
Online marketplaces have strict image requirements that make JPEG the mandatory format. Amazon requires product images to be JPG or PNG with a pure white (#ffffff) background. Etsy, eBay, and Shopify all process and re-compress uploaded images using JPEG pipelines. If you upload AVIF files, they may be rejected outright or converted with poor default settings that damage image quality.
Our background fill feature was specifically designed for this use case. Set the background colour to white, upload your AVIF product shots with transparent backgrounds, and the converter will produce marketplace-ready JPG files with clean white backgrounds — exactly what Amazon and other platforms require. The centre-crop resize mode is also invaluable here: you can automatically crop product images to the standard 1:1 (square) ratio required by most e-commerce platforms.
Open Graph (OG) images are the preview images that appear when your webpage is shared on social media platforms like Facebook, WhatsApp, LinkedIn, and Slack. These preview images must be in a format that social media crawlers can reliably download and render. AVIF is frequently ignored by social crawlers — resulting in blank, broken, or default previews instead of your intended image.
JPG is the universally safe choice for OG images. Every social platform and messaging app reliably renders JPG preview images. Converting your AVIF hero images to JPG specifically for use as Open Graph metadata is a simple but impactful improvement to how your content appears when shared.
The watermark feature allows you to overlay custom text — a copyright notice, your brand name, a URL, or any other identifier — directly onto converted JPG images. The text is rendered onto the image canvas before JPEG encoding, making it a permanent, inseparable part of the output file. It cannot be removed without re-editing the image in photo editing software.
You can choose from five positions (bottom-right, bottom-left, top-right, top-left, or centre), and set the opacity from 25% to 100%. Lower opacity values create subtle watermarks that do not distract from the image content, while 100% opacity produces clearly visible text for strong protection. The watermark is rendered in white with a dark outline, ensuring it remains visible across both light and dark image backgrounds.
While Google recommends serving images in next-generation formats like AVIF and WebP for maximum page performance, JPEG remains a reliable and well-supported format for image SEO. Google's crawler fully indexes JPG images, and JPEG images appear correctly in Google Image Search, Google Discover, and rich result previews.
The key SEO consideration is that JPEG files are typically 2–5× larger than equivalent WebP or AVIF files, which means they increase page weight and negatively affect Largest Contentful Paint (LCP) — a Core Web Vitals metric. The recommended strategy is to use JPEG selectively for contexts where compatibility is critical (social sharing, email, e-commerce platforms) while using WebP or AVIF for on-page web delivery.
leather-brown-handbag-side-view.jpg not IMG_4923.jpgwidth and height attributes to prevent Cumulative Layout Shift (CLS)loading="lazy" for below-the-fold images to improve initial page load<picture> element to serve AVIF/WebP to supporting browsers with JPG as fallbackCache-Control max-age values on your server or CDNThis AVIF to JPG converter operates entirely within your web browser. When you add an AVIF file, it is read by the browser's FileReader API into local memory, decoded by the browser's native image decoder, drawn onto an HTML5 <canvas> element, and then encoded to JPEG using the canvas.toBlob() method — all without any data leaving your device.
The background fill is applied by first rendering a solid colour rectangle across the full canvas before drawing the image — ensuring transparent areas in the AVIF source are replaced with the chosen colour rather than defaulting to black. The watermark, if enabled, is rendered using the Canvas 2D Context fillText and strokeText APIs immediately before JPEG encoding.