ComparisonsSlazzer
PureMatte vs Slazzer
Credit-based background removal with a wide pricing ladder, from small top-ups to high-volume subscriptions.
Slazzer pricing
Read from their own pricing page
| Subscription, 100 credits | $11.55/mo — about $0.12 per image |
| Subscription, 5,000 credits | $361.20/mo — about $0.07 per image |
| Subscription, 50,000 credits | $1,811.25/mo — about $0.04 per image |
| Top-up, 10 credits | $6.30 — about $0.63 per image |
| Free tier | 2 credits, with unlimited free previews |
Read from Slazzer's own pricing page. Credits expire two years from purchase, per that page.
sources
Every claim, and where it came from
Subscription pricing ranges from $11.55 for 100 credits to $1,811.25 for 50,000 credits.
https://www.slazzer.com/pricing · read 2026-08-17
The free tier is 2 credits with unlimited free previews.
https://www.slazzer.com/pricing · read 2026-08-17
Credits are usable for two years from the date of purchase.
https://www.slazzer.com/pricing · read 2026-08-17
Prices change. These were accurate on the dates shown and we do not claim they are current — check the source before making a decision on them.
where Slazzer is the better choice
- A single small top-up is available without a subscription, which suits occasional use.
- Additional operations — upscale, enhance, shadow — priced in the same credit pool.
what PureMatte claims
The same image always produces byte-identical output.
There are no model weights and no randomness in the pipeline. Verified by a hash-stability test in CI, and observed in production: repeat submissions of one image return a confidence of 0.9208526611328125 every time.
A cutout we are not confident in is flagged, and never billed.
Every result carries a confidence score. Below the gate the job returns flagged, you still receive the image, and no usage-ledger row is written. The API refuses to construct a response where billed and flagged disagree.
Your image never passes through our application servers.
The browser uploads directly to object storage with a presigned URL and downloads the result the same way. Measured at runtime, not asserted: across a full job the API container moved 10,582 bytes against the worker's 1,029,210 for the same 1 MB image.
No training data, so no IP-provenance question.
The engine is classical computer vision — colour-difference keying, matting, guided filtering. Nothing in it was trained on scraped images, so there is no dataset whose licensing could later be contested.
The free web tool is full resolution and needs no account.
Ten cutouts per visitor per day at your image's native resolution, with no signup and no watermark. Live at purematte.dev.
where we are weaker
Our engine is strongest on uniform and studio backgrounds and weakest on cluttered natural scenes with fine detail — hair against foliage is its hardest case. Where a neural competitor wins, it wins there. Rather than ship you a confident bad cutout, we flag it and do not bill for it. If your workload is mostly hard natural imagery, test before you commit, and use the confidence score as the thing you test against.
the only comparison that counts
Run your own hardest image through the free tool — full resolution, no account — and look at the confidence score it comes back with.