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Producing an image with a generative model is now the fast part of the job. The slow part is everything after: checking the export at full size, dealing with the corner overlay, keeping resolution and colour intact, and doing all of that consistently across dozens of variations before anything is delivered.
Most cleanup workflows lose something at each step. Open the file in an editor and you re-encode it. Run it through an online cleaner and you upload client material to somebody else's server, wait in a queue, and often get a downscaled result back. Do it by hand and it does not scale past a handful of files.
A cleanup tool for AI output should do the opposite: preserve everything it is not explicitly changing, run without a round trip, and handle a batch as easily as a single file. That is the design brief here.
What a good cleanup pass should preserve
Resolution
Output matches the input dimensions exactly. Nothing is downscaled to fit a processing limit or a service tier.
Colour and bit depth
Pixels outside the corrected region are passed through byte for byte, so grading and colour profile survive the pass.
Encoding quality
Images are written as lossless PNG; video is re-muxed instead of transcoded where possible, so no generation loss is added.
Audio and timing
Video keeps its original frame rate, duration and audio track — cleanup touches picture only.
Throughput
Queue up to twenty files, run them sequentially with per-file progress, and export the finished set as one ZIP.
Confidentiality
Nothing is uploaded. Unreleased campaign work and client material never leave the machine they were made on.
How it works
1
Open the editor
Click Upload image. Sign in to open the browser tool; no installation is needed.
2
Choose single or batch
Single mode for one file with a full comparison view; batch mode for up to twenty files in one run.
3
Drop your exports in
PNG, JPEG and WEBP up to 25 MB; MP4, WebM and MOV up to 100 MB.
4
Run the cleanup
Detection and correction happen per file, with live progress and a clear status for anything that could not be processed.
5
Export everything
Download files individually or take the whole finished batch as a ZIP archive.
A repeatable cleanup pass for generated output
Consistency is what turns a one-off edit into a workflow. If each file gets slightly different treatment — a different blur radius here, a different fill there — the set will not look like it came from one process, and that shows immediately in a grid, a carousel or a contact sheet.
Deterministic correction solves that. The same detection logic, the same alpha maps and the same validation thresholds apply to every file in the queue, so a batch of forty variations comes out with identical treatment. There is no operator judgement in the loop and therefore no drift across the set.
The practical shape of the workflow is simple: generate your variations, export them at full quality, drop the whole set into batch mode, run once, download the ZIP, then do your grading and cropping downstream on clean sources.
Why local processing is faster than it sounds
The intuition that a server must be faster than a browser is usually wrong for this kind of work. Server-side processing means uploading the file, waiting for a worker, processing, then downloading the result. For a 60 MB video on a typical connection, the transfers alone dominate the total time — often by an order of magnitude over the actual computation.
Local processing removes both transfers. Decoding happens through the browser's hardware-accelerated video pipeline, the correction itself is a per-pixel arithmetic pass over a small region of each frame, and encoding writes straight to a blob in memory. For most files the whole operation finishes in the time an upload would have been negotiating its first megabyte.
Every pixel is decoded, analysed and rewritten inside your browser tab using Canvas and WebCodecs. Your file never leaves the device, never touches a queue, and never gets stored on a server — which also means there is no upload wait and no file-retention policy to read.
Quality checks worth doing before delivery
Cleanup is not finished when the file downloads. A short verification habit catches the rare failure before a client does:
Inspect the treated corner at 100% zoom in the comparison slider, not fitted to the window.
On video, scrub through the clip rather than checking a single frame — inconsistency shows in motion first.
Confirm the output dimensions and duration match the source before archiving.
For batches, spot-check the first, middle and last file rather than assuming uniformity.
Keep the untouched original until the cleaned version has been signed off.
Limits worth knowing about
This is a targeted cleanup tool, not a general editor. It reverses supported alpha-blended overlays on images and video; it does not upscale, denoise a whole frame, retouch skin, or remove objects that were part of the generated scene. Keeping the scope narrow is what allows the output to be lossless everywhere it is not correcting.
File size limits exist because browser memory is finite: 25 MB for images and 100 MB for video keeps processing comfortably within reach on typical laptops and phones. Very long or very high-bitrate clips are better trimmed to the section you need before cleanup.
And as always, source quality sets the ceiling. Cleanup applied to a pristine export produces an indistinguishable result; applied to a file that has already been through several lossy re-saves, it can only work with what survived.
Frequently asked questions
What does the cleanup pass actually change?
Only the pixels covered by the detected overlay. Everything else in the file — resolution, colour, audio, timing — passes through unchanged.
How many files can I process at once?
Batch mode handles up to twenty files per run, processed sequentially with per-file progress, and exports them together as a ZIP.
Does it upscale or enhance the image?
No. It is a targeted cleanup tool, not an enhancer. Nothing is sharpened, denoised or resized.
Which formats are supported?
Images in PNG, JPEG and WEBP up to 25 MB; video in MP4, WebM and MOV up to 100 MB.
Is any of my work uploaded?
No. The entire pipeline runs inside your browser tab, so client and pre-release material never leaves your device.
Is there a cost or usage limit?
There is no paid tier or usage cap. An account is required for access, while processing uses your own hardware.
Clean exports, ready to deliver
Run a single file or a batch of twenty. Nothing uploads, nothing re-compresses, and nothing is stored.