Convert TIFF to WebP — Flatten Scans Into Share-Ready Copies

Your masters stay TIFF. The copies that travel become WebP — 16-bit narrowed cleanly, CMYK re-profiled to sRGB, first page of each file. Originals never touched, nothing uploaded.

16 → 8 bit carefully down-converted
CMYK → sRGB color-managed
0 files uploaded, ever
Start converting

Archive TIFF in, distributable WebP out

Drop scanner output or proof TIFFs. 16-bit narrows cleanly, CMYK converts to sRGB, quality is picked per image. Multi-page TIFFs: only the first page is converted. Your originals are never modified.

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.

TIFF is the master. WebP is what travels.

The scanner, the press, the camera raw pipeline all land on TIFF. Everything downstream — Gmail, Slack, CMS uploads, reader apps — wants a flat 8-bit RGB file. This page is the bridge.

Your master is 300 MB. Everything else rejects it.

TIFF is where your scanner, your prepress stack, or your photo pipeline parks the master — 16-bit, CMYK, sometimes half a gigabyte per file. Gmail rejects it. Slack rejects it. The CMS has a 10 MB cap. The client who needs to sign off the proof is on their phone. You don't replace the master. You need the copy that actually travels.

16 bits down to 8, without the banding

WebP is 8 bits per channel. Your scanner TIFF isn't. The down-conversion runs through a color-managed pipeline before encoding, and the adaptive encoder spends its quality budget on the flat regions where banding would announce itself first. On a smooth-gradient scan at normal viewing distance, you won't spot the step.

CMYK proofs become sRGB screen files

A prepress TIFF lives in CMYK with a FOGRA or GRACoL profile. Browsers and mail clients don't render CMYK — they render whatever they feel like, and the client's approval call goes sideways. The converter reads the embedded profile, converts to sRGB through color management, and tags the WebP so a phone browser shows the same colors the calibrated monitor did. On a proof call, that's the whole game.

First page in, one WebP out

Drop a multi-page document scan and you'll get the cover page back. That's the honest scope: single-image TIFFs, which is the vast majority of scanner and camera output. For a 500-page book scan, use a dedicated multi-page splitter upstream first — that's a genuinely different pipeline.

Archive master vs distribution copy

Criterion TIFF master WebP
Intended role Archival / prepress master Distributable copy
Typical size per scan 50–500 MB 1–5 MB
Bit depth 8, 16, sometimes 32-bit 8-bit
Color space RGB / CMYK / LAB / YCbCr sRGB, ICC tagged
Multi-page TIFF input Yes (stacked pages) First page only
Opens in Gmail / Slack / CMS No Yes, everywhere
Keep the original? Yes, always It's the share copy

Scanner TIFF to distributable WebP in four steps

The workflow a library digitization team or a print shop QA desk runs every day.

  1. 1

    Drop a scanner folder or a proof batch

    Drag .tif / .tiff files — single images, a scanner output folder, a stack of proofs. No size cap; the scheduler holds the biggest files back until smaller ones finish. Only the first page of a multi-page TIFF is converted.

  2. 2

    Decode with careful down-conversion

    16-bit is mapped to 8-bit with color-managed rounding. CMYK, LAB, LZW, ZIP and JPEG-in-TIFF variants all decode without pre-sorting. Embedded ICC profiles follow the data through the whole pipeline.

  3. 3

    Re-encode with adaptive per-image quality

    Every file gets its own encode setting — a short quality search for the point where artifacts stop being visible on that specific image. Scans with text or fine line art get extra headroom so strokes stay crisp; flat scanned paper compresses far harder without the encoder second-guessing itself.

  4. 4

    Export a distributable ZIP, archive untouched

    Download a ZIP of WebPs, folder structure preserved. Your original TIFF masters never leave the machine, never get modified, and are still exactly where you left them.

WebP

WebP Results

See how WebP compresses real photos with our Excellent preset — the default when you click convert.

Portrait — after Portrait — before
Before
After
Portrait
3000×4500
1.82 MB 0.26 MB
-86%
Foliage — after Foliage — before
Before
After
Foliage
3000×4500
3.10 MB 1.60 MB
-48%
Lifestyle — after Lifestyle — before
Before
After
Lifestyle
3000×2000
0.82 MB 0.44 MB
-47%

Typical WebP savings

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

45-85%
Typical size reduction
SSIM ≥ 0.95
Perceptually matched
1000+
Files per batch

TIFF to WebP — questions from scanner and prepress workflows

I have a 500-page book-scan TIFF. Can this split it into 500 WebPs?

Not this tool. The pipeline reads the first page of each TIFF, so a multi-page book scan gives you the cover page as a WebP and nothing else. For multi-page document workflows, run a dedicated PDF/TIFF splitter first to explode the file into per-page TIFFs, then feed those here.

Will a 16-bit scanner TIFF look banded after conversion?

Not in practice. The 16-to-8 down-conversion runs inside a color-managed pipeline, and the adaptive encoder spends more quality on flat regions where banding would announce itself first. On a smooth-gradient scan at normal viewing distance, the step isn't visible.

My proof TIFF is CMYK with a FOGRA profile. Will the recipient see the right colors?

Yes. Decoding applies the embedded CMYK profile (FOGRA, GRACoL, SWOP — take your pick) and converts through color management to sRGB. The WebP is tagged with an sRGB profile, so a color-managed browser or phone renders the same intent the calibrated monitor showed. Close enough for client sign-off on a proof copy.

Is WebP an acceptable archival format for my scans?

No, and it's not meant to be. WebP is 8-bit, lossy by default, and doesn't do multi-page containers. Keep the TIFF as your archival master — it stores 16-bit depth, CMYK, multi-page stacks and prepress metadata WebP simply cannot represent. Use the WebP as the distribution copy alongside the archive, not as a replacement.

How big can an individual TIFF be before the browser gives up?

The scheduler meters dispatch against available memory, so very large single scans are queued one at a time rather than in parallel. On a typical 16 GB laptop, multi-hundred-megabyte scanner output converts cleanly. The practical ceiling is a ~100 MP single scan — past that, the 4 GB wasm32 address space starts crowding.

Does my sensitive scan (medical, legal, unreleased) leave the machine?

No. Everything runs inside the browser tab. Open DevTools → Network during a run and you'll see the engine load once and nothing else leave. The cross-origin isolation you may notice in the console is there so the encoder can thread across your cores, not for any remote call.

Can I batch a whole scanning-session folder in one pass?

Yes. Drop the entire folder — library digitization teams regularly feed multi-gigabyte batches through this. Per-worker thread count gets re-derived at dispatch time so a single large TIFF saturates the CPU, while many smaller ones split evenly. Workers recycle every 32 jobs to keep memory stable on long runs.

Why is the first conversion slower than the next ones?

The engine and its worker pool load on the first encode. After that, workers stay warm and get reused across the batch. Subsequent files in the same session start encoding within milliseconds of being dispatched.

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. 🎯