Convert JPG to AVIF — Smaller Than WebP, EXIF Preserved

Shrink your JPG and JPEG photos by 40–50% with the AV1-based AVIF format. Everything runs in your browser — no upload, no file size limit, no signup. EXIF, XMP and ICC color profiles survive the conversion.

50% typical vs JPG
1000+ images per batch
0 files uploaded
Start converting

In-browser JPG → AVIF conversion

Drop your JPG or JPEG files below. The engine decodes them with libjpeg-turbo, runs an adaptive quality search, and writes AVIF output via libavif + libaom with your EXIF, XMP and ICC color profile embedded directly into the container — all without leaving the tab.

Supported input formats

  • JPG / JPEG — Photos, portraits, web content
  • PNG — Screenshots, icons, transparent images
  • HEIC / HEIF — iPhone photos, Apple formats
  • TIFF — Scans, prints, high-resolution archives
  • GIF — Animations and static GIFs
  • BMP, PSD & more — Anything ImageMagick can decode

How the conversion works

  1. 1. Drop
    Drag files or a whole folder into the box below. Folder structure is preserved in the output ZIP.
  2. 2. Analyze
    Each image is analyzed for entropy and content type. The engine picks per-image quality settings targeting PSNR ≥ 44.5 and SSIM ≥ 0.95.
  3. 3. Encode
    Conversion runs on all of your CPU cores in parallel via Web Workers. EXIF, ICC color profiles and geolocation are copied onto the WebP or AVIF output.
  4. 4. Download
    When the batch is done, a ZIP containing every converted file downloads automatically. No re-upload, no waiting on a server.

Everything you need to know about JPG → AVIF

AVIF is the newest image format to reach mainstream browsers. Here's what actually changes when you move your JPGs over.

Why JPG → AVIF is worth it for photos

AVIF is the image format built on AV1, the video codec shipped by the Alliance for Open Media in 2018. On real photographs at equivalent visual quality, AVIF files are typically 40–50% smaller than JPG, and 20–25% smaller than WebP. If you're serving a photography portfolio, a hero image on a high-traffic page, or an archive that needs to stay light, AVIF is hard to beat on bytes-per-pixel.

One PSNR / SSIM target, per-photo quality

SciZone doesn't use a fixed quality slider. For each JPG it analyzes entropy and content, then binary-searches the AVIF quality setting that hits PSNR ≥ 44.5 dB and SSIM ≥ 0.95 — the point where artifacts are imperceptible on natural images. Noisy portraits and flat product shots end up with different settings because they deserve different settings.

EXIF, XMP and color profiles survive

libavif embeds EXIF, XMP and ICC color profiles directly inside the AVIF container's metadata boxes (exactly where exiftool and every modern image tool looks). SciZone extracts the metadata from your JPG source and hands it to libavif before encoding — Make, Model, GPS, capture time and calibration all carry through, so your photo library stays searchable and your color workflow stays honest.

One decision: AVIF for bandwidth, WebP for speed

AVIF encoding is noticeably slower than WebP — roughly 5–20× per image — because the AV1 codec is more sophisticated. For a 1000-photo batch that's the difference between minutes and an hour. SciZone parallelises across every CPU core to close the gap, but if you need a batch done *fast*, flip the toggle above the drop zone to WebP. If you need the smallest possible output per image, stay on AVIF.

JPG vs AVIF at a glance

Criterion JPG / JPEG WebP
Typical file size for photos 100% 40–60% (40–50% smaller)
Transparency (alpha) Not supported Full 8-bit alpha
Lossless mode No Yes
HDR / wide-gamut color Limited (JPEG-XR only) Native (10/12-bit)
Browser support Universal ~95% (iOS 16.4+, Chrome 85+, Firefox 93+)
Release year 1992 2019

How to convert JPG to AVIF

Four steps, no signup, fully offline. The conversion runs entirely in your browser.

  1. 1

    Drop your JPG files

    Drag one JPG/JPEG file, multiple files, or a whole folder onto the drop zone below. Nested folders keep their structure in the output ZIP.

  2. 2

    Automatic AVIF conversion starts

    Conversion begins the moment files land. SciZone spawns one Web Worker per CPU core and processes your photos in parallel through libavif. A progress bar shows the live count.

  3. 3

    Per-image quality tuning

    For each photo the engine picks a unique AVIF quality setting based on entropy analysis, targeting PSNR ≥ 44.5 and SSIM ≥ 0.95. EXIF, XMP and ICC profiles are embedded directly into the AVIF container.

  4. 4

    Download the ZIP

    When the batch finishes the browser downloads a ZIP containing every .avif file — no re-upload, no waiting on a server queue. Space saved per file is shown in the results summary.

AVIF

AVIF Results

AVIF matches WebP quality (SSIM Δ < 0.005) while shipping ~45% smaller files on the same Excellent preset.

Portrait — after Portrait — before
Before
After
Portrait
3000×2004
1.03 MB 0.24 MB
-77%
Beach — after Beach — before
Before
After
Beach
3000×2248
1.52 MB 0.49 MB
-67%
Ocean — after Ocean — before
Before
After
Ocean
3000×2000
1.23 MB 0.45 MB
-63%

Typical AVIF savings

Measured on 24 diverse photos at matched perceived quality (SSIM ≥ 0.95)

60-80%
Typical size reduction
SSIM ≥ 0.95
Perceptually matched
1000+
Files per batch

JPG to AVIF — Frequently Asked Questions

How much smaller will my JPG files become after AVIF conversion?

For typical photographs, expect 40–50% smaller files at equivalent visual quality. On already-heavily-compressed JPGs (for example, stock images sized down for the web) the savings are smaller — around 20–30%. SciZone shows exact per-file savings in the results summary and can keep the original if AVIF output would be larger.

Will converting JPG to AVIF lose quality?

Not perceptibly. SciZone targets PSNR ≥ 44.5 and SSIM ≥ 0.95 for every photo — above the threshold where the human eye can detect compression artifacts on natural images. For images where the targets can't be hit, the engine refuses to drop below a quality floor of 80.

Does AVIF work on all browsers?

All major modern browsers: Chrome 85+, Firefox 93+, Safari 16.4+ (iOS and macOS), Opera, Edge. Roughly 95% global browser support at this point. Older iOS Safari (before 16.4) and some in-app browsers / older Android WebViews don't support AVIF — for maximum compatibility, convert to WebP instead.

Why is AVIF conversion slower than WebP?

AVIF uses AV1 — a state-of-the-art video codec — which is dramatically more expensive to encode than WebP's VP8-based encoder. Typical ratio is 5–20× slower per image. SciZone runs one worker per CPU core, so it scales with your hardware, but it's still slower than WebP. If you need a large batch done quickly, flip the toggle above the drop zone.

Can I convert 1000+ JPGs to AVIF at once?

Yes, but expect it to take longer than the equivalent WebP batch. There's no hard cap; the practical limit is your CPU time and your device's RAM. For very large runs we recommend processing in chunks of ~1000 photos with other heavy browser tabs closed.

Does SciZone upload my JPGs anywhere?

No. Every byte of the conversion pipeline runs inside the browser tab via WebAssembly (libavif + libaom + exiv2). There's no server round-trip, no telemetry on the file contents, and the page works fully offline once loaded. You can verify this in DevTools → Network.

Are EXIF data and GPS coordinates preserved in AVIF?

Yes. SciZone reads EXIF / XMP / ICC from the JPG source via exiv2, then embeds each block inside the AVIF container using libavif's metadata API (avifImageSetMetadataExif / XMP and avifImageSetProfileICC). Camera make/model, exposure, GPS, capture timestamp and color profile all survive the round trip.

Why is my converted AVIF sometimes larger than the original JPG?

Uncommon but possible for very small inputs (under ~10 KB) because AVIF has more format container overhead than JPG. When it happens, SciZone can keep the original JPG instead — the results summary flags it.

Why Choose SciZone?

We're not just another optimizer. We engineered a fundamentally better solution.

Feature
SciZone (You're here)
Other Optimizers
CPU Utilization
How processing power is used
True Multi-Threading Intelligently uses all CPU cores
without overloading your system
Single-Threaded Uses only one CPU core,
wastes available power
Quality Settings
How compression is optimized
Unique Per Image Algorithm analyzes each photo
and picks optimal settings
One-Size-Fits-All Same settings for every photo,
inconsistent quality
Metadata & Color Profiles
Preservation of image data
Fully Preserved EXIF, color profiles, geolocation.
Everything stays intact
Often Stripped Color profiles lost,
metadata incomplete
Quality-Size Balance
Optimization results
Perfect Balance Maximum compression with
imperceptible quality loss
Inconsistent Either too large or
noticeable quality loss

The Bottom Line

Every photo is unique. Our intelligent algorithm understands this and analyzes each image individually to find the perfect balance between file size and quality. We utilize your computer's full power without overloading it, preserving every detail of your metadata and color profiles. Your files are smaller, faster, and absolutely perfect. 🎯