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Pixelcut vs unbagrnd

Pixelcut

pixelcut.ai

unbagrnd

zidniryi.space

Side by side

FigurePixelcutunbagrnd
Price from$0.67/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYesYes
APIYesYes
Self-hosted—Yes
Plans published71
Spec score · AI Background Removers9.4 (#3)8.5 (#18)
Spec score · Image Background Removal Software8.9 (#7)7.7 (#18)
API accessYesYes
Batch processingYesBatch mode can apply a shared background and shadow, use filename templates, cancel or retry files, and export results as a ZIP on desktop.
Free planYesYes

Plans

Pixelcut

  • FreeFree
  • Pro$8 a month
  • Business$24 a month
  • Pro$8 a year
  • API credits$10 a month
  • Business$24 a year
  • API EnterprisePriced on request

Pixelcut pricing →

unbagrnd

  • FreeFree

unbagrnd pricing →

In their own words

Pixelcut

Pixelcut is an AI photo and video editor focused on product photography, with tools for background removal, upscaling, image expansion, retouching, product shots, ads, and video. Its web background remover accepts JPG, PNG, and HEIC images up to 50 MB and 6000 × 6000 pixels, and offers free HD downloads without a watermark or sign-up. The editor can upscale images up to 16×, use generative fill for retouching, generate shadows, and batch edit hundreds of files. The background-removal page lists bulk processing for up to 10,000 images in one batch, with ZIP export. The API costs 5 credits per image, shown as $0.05 per image, and accepts PNG or JPEG inputs; outputs include transparent PNG, alpha masks, and ZIP files. Pixelcut is available on Android, iOS, and web, with API access. Its free plan includes limited background removal and upscaling, with exports without a watermark. Pixelcut describes its intended users as sellers, creators, and brands working on product photos, e-commerce catalogs, ads, and social content.

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unbagrnd

unbagrnd removes photo backgrounds with on-device AI, and its desktop app processes images locally through ONNX Runtime. The maker says images, filenames, and metadata are not sent anywhere; the app makes a one-time model download and has no analytics, update checks, or telemetry. Users can choose among several models with different speed and accuracy tradeoffs; the default is described as 43 MB. Editing tools include brush erase and restore with undo and redo, edge shift and smoothing, background color and shadow styling, and alpha matte export. It is intended for single photos or folders, including cutout refinement and background styling. A Docker-based REST API can be self-hosted to process images inside the user’s container. Its documented defaults include a 20 MB image limit, dimensions up to 8192 pixels, batches of up to 10, and 60 requests per API key per minute. The API uses plain HTTP, so a reverse proxy is recommended for TLS when exposing it publicly. The software is free and MIT-licensed, with Android, Linux, macOS, Windows, API, and self-hosted platforms listed.

Visit zidniryi.space