Archive HEIC to AVIF — the open-codec upgrade for iPhone libraries

Same container, open codec. Swap Apple's HEVC for AV1 — keep the compression, drop the licensing dependency. Every core encodes at once, metadata rides along, the archive never leaves your machine.

AV1 open codec, backed by AOMedia
3–8 s per 12 MP photo, 8-core laptop
0 files uploaded, ever
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A real archival re-encode, running on your machine

This is the slower page on purpose. Your archive is worth the extra minutes — you encode once, read forever. Budget 3–8 seconds per 12 MP photo. Metadata, GPS and color profile all survive.

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.

Same container generation, open codec underneath

HEIC and AVIF share plumbing. The difference is the codec underneath — and which industry group maintains it. For anything you intend to keep, that's the bet that matters.

Your photos shouldn't need Apple to survive the decade

HEIC is what your iPhone hands you. It's patent-pool gated, and nine years after it launched the rest of the world still argues about decoding it. Pick up a Windows laptop in 2036 and ask it to open a 2019 camera roll — the answer depends on whether a codec license is still being honored. An open format doesn't have that conversation. Your memories don't need Apple's permission to load.

Same box, different codec politics

HEIC and AVIF sit in the same container family. The structure is familiar — thumbnails, metadata boxes, tile layout. The difference is what's inside. AVIF uses AV1, the open video codec built by the Alliance for Open Media — Google, Amazon, Netflix, Microsoft, Mozilla and others — precisely to sidestep royalty pools. For an archive you plan to keep for a decade, the codec you pick is a bet on which ecosystem will still be readable.

Comparable compression, fundamentally different reach

File size lands within a few percent of the HEIC original at the same perceptual bar — AV1 closed the gap to HEVC years ago. What's different is reach. AVIF opens natively in every modern browser, every desktop OS, and on Android without a device-specific Gallery app. HEIC still depends on Apple shipping the decoder, or on a Windows user buying a Store extension that was pulled in some regions. An AVIF archive is one you can hand to your future self without a codec asterisk.

Under the hood

The decode uses the same HEVC decoder your Mac does. The encode uses AV1 — the open video codec under AVIF — with libaom-powered tile-parallel encoding across every core you have. An adaptive quality loop targets PSNR ≥ 44.5 dB and SSIM ≥ 0.95 per image. EXIF, GPS and the Display P3 ICC profile are written straight into the AVIF container. No sidecars, no lost capture dates.

HEIC vs AVIF as an archival format

Criterion HEIC WebP
Container family HEIF HEIF — same family
Codec underneath HEVC — patent-pool licensed AV1 — royalty-free, open
Governance HEVC patent pools Alliance for Open Media
Compression at equal quality Baseline Within a few % of HEVC
Native browser support Safari only Chrome, Firefox, Safari 16.4+, Edge
Expected 10-year readability Depends on Apple Open spec, multiple decoders
Typical encode cost (12 MP) Encoded on-device 3–8 s on 8-core, parallel

How to migrate an iPhone archive to AVIF

A deliberate, once-per-archive job. Set it running and come back.

  1. 1

    Pull the HEIC archive out of iCloud, iPhone or a Time Machine backup

    Use iCloud Photos' Download Originals, the macOS Photos library export, or the DCIM folder from an iPhone backup. AVIF is worth the encode cost on originals — don't waste it on the already-compressed Shared Album versions.

  2. 2

    Plan the batch around encode time

    Budget 3–8 seconds per 12 MP photo on a modern laptop; a thousand-photo archive is roughly an hour on eight cores. Split very large libraries into chunks of ~500–1000 so your browser's memory stays bounded.

  3. 3

    Let AV1 run on every core

    Each image gets decoded, quality-searched, then split into tiles and encoded across your cores at once. Metadata — the full EXIF block, the Display P3 ICC profile — is embedded directly into the AVIF container before emit.

  4. 4

    Archive the ZIP alongside the original HEIC until you trust the migration

    When the batch finishes you get a ZIP of .avif files. For a real archival migration, keep the HEIC originals on a separate drive for a release or two before deleting. AVIF is what you're moving to, not a replacement you delete the source behind on faith.

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

HEIC to AVIF — archival questions

For long-term storage, is AVIF actually a better bet than keeping HEIC?

For anyone outside the Apple ecosystem, yes. HEIC depends on Apple maintaining — and non-Apple platforms licensing — HEVC. AV1 has an open specification, multiple independent decoders, and hardware decoders already shipping in modern phones, TVs and GPUs. Nine years in, HEIC still requires special handling outside Apple; AV1 already ships as a first-class format in every major browser.

Will my library actually get smaller after the re-encode?

Probably not — expect file sizes within about ±5–10% of the HEIC originals. HEVC and AV1 are the same compression generation, and the quality target here is deliberately transparent, not aggressive. You're migrating for portability and open-format provenance, not for bytes saved. Think of it as swapping the lock, not shrinking the house.

How long will a real migration take?

AVIF encode is 5–20× slower than WebP per image, because AV1 does much more work per block. A 12 MP iPhone photo runs 3–8 seconds on an 8-core laptop with parallel encoding; a 200-photo batch is roughly 5–15 minutes. A full 10,000-photo library is half a day. Plan to kick it off and come back to it.

Does AVIF preserve my Display P3 color profile from the iPhone?

Yes. The ICC profile is embedded directly into the AVIF container, so when a color-managed viewer opens the file it applies the same gamut transform the iPhone expected. EXIF (including GPS and capture timestamp) and XMP ride along the same way. If you strip the ICC manually the colors will look flat in a browser — so don't.

Can my browser really encode AV1?

Yes. The AV1 encoder is libaom compiled to WebAssembly with pthreads, and this page already serves the cross-origin isolation headers that let worker threads spawn. Tile-parallel encoding splits each image across your cores — that's why the wall-clock is actually competitive.

What about the Live Photo motion track?

A Live Photo is a still HEIC plus an MOV sidecar. SciZone re-encodes the still to AVIF and leaves the MOV alone. AVIF supports image sequences in theory, but turning Live Photo motion into an AVIF sequence isn't an archival operation — store the original MOVs separately if the motion matters to you.

Why not just keep the HEIC originals and convert later if I need to?

You absolutely can. The argument for converting now is format risk — HEIC's non-Apple support has only gradually improved over nine years, and a codec you can't open in a decade is a lost archive. AVIF today already has broader browser and OS support than HEIC ever achieved. If your threat model is 'I want these readable on whatever device I'm holding in 2036', encoding now to an open format hedges that risk.

Should I delete the HEIC originals after the conversion?

Not immediately. Keep them on a separate drive for at least one full backup cycle — verify a sample of the AVIF files open cleanly in your target apps, check that the metadata survived, and only then reclaim the space. Lossy re-encoding is a one-way operation; give yourself a rollback window.

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
AVIF Encode Speed
How fast AVIF actually runs in the browser
Tile-Parallel Encoding Each AVIF image is split into tiles encoded
across every core — ~6× faster than
single-tile libaom on large photos
Single-Tile Default libaom's internal threading caps around
4 threads per encode, regardless of
how many cores you have
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. 🎯