Pixazo AI Lab  ·  AI Restoration & Upscaling

AI restoration. A back catalogue the platforms will actually take.

Libraries finished at a resolution nobody buys any more are not dead, they are unlicensed. A restoration house fixes them a frame at a time and bills by the month. Our AI restores and upscales film and episodic material to current distribution specs per frame, with an artist checking every reel, in days rather than months.

SourceAI restored

Soft, low-detail source rebuilt by AI with real detail, not sharpened

SD & HD to 4KDust & scratchGate weaveColour fadeArtefact removalGrain management
10×
cost reduction once a look model is trained on your approved frames
233
shots delivered on a 40-minute episode, frame-accurate
ProRes · DNxHR
EXR · DPX
delivery formats
1 reel
free, before you commit a library
Why an AI lab, not a VFX lab

What a restoration house does by the month, the model does in days

We are not a VFX lab with faster artists. We are an AI lab: the tedious, per-frame work that fills a vendor’s schedule is done by the model in a single pass, and artists are spent only where judgment matters. The result is the same deliverable, in a day or two instead of weeks.

Traditional VFX lab compared with Pixazo AI
The jobTraditional VFX labPixazo AI
Dust, scratch, gate weaveCleaned by hand, frame by frameDetected and repaired by the model across the whole reel
SD and HD to 4KOptical or algorithmic upscale, soft and waxyAI upscaling that synthesizes real detail, grain managed
TurnaroundMonths per seasonDays per reel
Cost driverArtist-hours per reelPer minute, by material class; one free reel gives the number

Where the artist still matters: faces at close range, titles and graphics, and the grain decision. Every reel is checked before it leaves.

Scope

What restoration actually involves

Upscaling is one pass out of several, and on its own it rarely gets a title past QC.

01
Resolution uplift

SD and HD masters to 2K, 4K or 8K

02
Dust, dirt & scratch

Frame-level defect removal, splice marks

03
Gate weave & jitter

Frame registration, stabilisation

04
Colour fade correction

Dye-fade recovery, neutralisation, regrade

05
Compression artefact removal

Blocking and banding on old digital masters

06
De-interlacing

Broadcast-era interlaced sources to progressive

07
Grain management

Consistent across an episode, not scrubbed off

08
Titles & credits rebuild

Type re-set rather than upscaled

09
Delivery conform

Per-platform spec, captions, loudness

Deliverables

What actually comes back

Stated here rather than after you have committed a library.

Restoration delivery specification
DeliverableFormatNotes
Restored master ProRes 4444, DNxHR, EXR or DPX — 2K, 4K or 8K Per episode or per reel, in your colour space, conformed to the distributor spec you are delivering against.
Comparison reel ProRes or H.264 Side-by-side against source, delivered before the full run so the look is signed off on a sample rather than argued about at the end.
Restoration report PDF, per reel What was done, pass by pass — useful for archive records and for a distributor asking what was touched.
Audio Untouched by default Original audio carried through frame-accurate. De-noise, de-click and re-conform are available as a separate line.
Trained look model Model weights, yours On a library run, we train on your approved frames and the model belongs to you. Your look, on your material, and it does not reprice when a vendor changes their rate card.

The number that usually decides a library: on a 124-episode run, moving from commercial video APIs to a model trained on the approved frames took per-episode delivery from roughly $750 to under $30 — around $100K down to about $4K across the remainder, at close to the same quality. Two hours of GPU time bought that.

Where it works, where it doesn’t

“Enhance” is not a real thing

An upscaler cannot recover detail that was never captured. What it can do is reconstruct plausibly — and on a face at small scale, or a line of credits, plausible is the wrong answer. Knowing which is which is the entire job.

Genuine, verifiable gains
  • Soft SD or HD masters where the detail exists A well-shot negative telecined badly has a great deal still in it.
  • Dust, dirt, scratches and splice marks High-contrast frame defects against known surroundings — near-solved, and very cheap at volume.
  • Gate weave and jitter Registration is a measurement problem, and machines are better at it than people.
  • Colour fade recovery Dye-fade is systematic, so it inverts systematically.
  • Compression artefacts on old digital masters Blocking and banding from 2000s-era encodes.
  • Consistency across a long run The hardest thing for a human team to hold across 100 episodes is the easiest thing to hold with a trained model.
Needs an artist, or cannot be done
  • Detail that was never shot At extreme ratios the model invents. We will tell you the honest ceiling for your source rather than quoting 8K on an SD tape.
  • Faces at small scale Identity drifts. A background performer can come back as a different person, and on a known cast that is unusable.
  • On-screen type, titles and credits Upscalers hallucinate glyphs. Type gets rebuilt and re-set, never upscaled.
  • Heavy interlacing plus fast motion Combing that cannot be separated cleanly without losing temporal detail.
  • Badly degraded or warped film Missing frames, shrinkage and severe warp are a physical problem before they are a digital one.
  • Streaming rips rather than masters Restoring a compressed delivery file caps the result. Always find the master first.
  • Grain scrubbed to look “clean” Technically an improvement, editorially a different film. We rebuild grain rather than remove it unless you ask.

We would rather lose a library bid by telling you 4K is the honest ceiling than win it and hand you a title that fails a platform QC on hallucinated faces.

Process

How a library moves through

Sample first, sign off the look, then run the volume. Never the other way round.

01
Assess
One reel, and an honest ceiling
We take a reel, test the source, and tell you the resolution and condition it will genuinely support before anyone commits to a number.
02
Sign off
Look approved on a sample
Comparison reel against source. Grain, colour and sharpness agreed on a few minutes of material rather than argued over 100 episodes.
03
Train
A model on your approved frames
The signed-off frames become training data. Consistency stops depending on who is on shift, and per-episode cost collapses. The model is yours.
04
Run & QC
Volume, with artists on the output
Episodes run in parallel, conformed to your delivery spec, with artist QC and a per-reel report on what was done.
Cost

Priced per minute, and the rate falls with the library

Restoration is the one service where volume genuinely changes the economics rather than just the discount — because after the first run, a model trained on your approved frames does the work.

What actually moves the number
DriverEffect on price
Source conditionThe biggest lever. A clean telecine and a scratched, faded print are not the same job at the same rate.
Target resolution and spec2K against 4K against 8K, and which distributor you are delivering to.
Library sizeThe rate falls sharply after the first run. On episodic volume the fall is an order of magnitude, not a percentage.
Passes requiredDust and scratch, weave, colour, artefacts and de-interlace are separate passes. Few titles need all of them.
Titles and typeRebuilding credits and on-screen type is hand work, priced per card.
AudioCarried through free. Restored and re-conformed is a separate line.

Faster than a rate card: send one reel. We come back with a restored sample, an honest statement of the ceiling your source supports, and a per-minute number for the library. You compare it against what you have been quoted — and against what the catalogue is currently earning sitting unlicensed.

FAQ

Frequently asked questions

What can AI restoration fix?

Dust and scratches, gate weave, flicker, colour fade and compression artefacts, plus upscaling from SD or HD to 4K for current distribution specs.

Does AI upscaling look waxy or over-sharpened?

It synthesizes detail rather than smoothing or sharpening what is there, and grain is managed so the result keeps the texture of the original. An artist checks every reel.

What formats do you deliver?

ProRes, DNxHR, EXR or DPX, to your distributor's spec.

How long does a restoration take?

Days per reel, instead of the months per season a frame-by-frame restoration usually takes.

Is my footage used to train AI models?

No. Footage is covered by an NDA before anything moves, is never used for training without your written consent, and is deleted on delivery.

How much does AI restoration cost?

We price per minute by material class. Send one reel free and you get the restored result plus a firm per-minute number.

Also in the pipeline

Remastering is rarely only a picture job

Libraries going out to new territories usually need language versions and clearance work alongside the picture, For a single clip or an old photo, try the self-serve AI video upscaler or AI photo restoration. Libraries going to new territories also need AI dubbing and lip-sync, and increasingly an HDR version: see SDR to HDR conversion. See cleanup, paint and removal for logo and signage clearance, rotoscoping and matte delivery, or the full AI VFX Studio — including AI dubbing and mouth-matched lip-sync.

Send one reel. Get an honest ceiling.

No charge, no commitment. A restored sample, a straight answer on the resolution your source genuinely supports, and a per-minute number for the library — before anyone signs anything.

Send a reel

SD & HD to 4K  ·  Dust, weave & colour  ·  Trained model is yours  ·  Artist-finished

Pixazo is the AI lab of Appy Pie  ·  building software since 2015  ·  16M+ registered users NDA before anything moves No training on your material without written consent Deleted on delivery Artist QC on every frame
With Pixazo’s platform we deliver enterprise-class security and compliance to you and your customers through every interaction.