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Picsart Video Background Removal API vs Transparent Background

Picsart Video Background Removal API

docs.picsart.io

Transparent Background

github.com

Side by side

FigurePicsart Video Background Removal APITransparent Background
Price from$10.50/moFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOSYesYes
Linux—Yes
iOSYes—
AndroidYes—
APIYes—
Self-hosted—Yes
Plans published61
Spec score · Video Background Removal Software9.0 (#3)7.3 (#19)

Plans

Picsart Video Background Removal API

  • API free creditsFree
  • Free signup creditsFree
  • Pro$10.50 a month
  • Ultra$37.50 a month
  • Custom API pricingPriced on request
  • Enterprise API packagePriced on request

Picsart Video Background Removal API pricing →

Transparent Background

  • Transparent BackgroundFree

Transparent Background pricing →

In their own words

Picsart Video Background Removal API

Picsart Video Background Removal API removes video backgrounds or replaces them with a custom color or image. It accepts WEBM, MP4, and MOV files up to 500 MB and 1920×1080 resolution. Requests can specify a background color or image URL; transparent output is available but requires WebM. Processing is asynchronous: submit a request, receive a transaction identifier, and use that identifier to retrieve the result. Batch processing is supported. Requests require an API key in the X-Picsart-API-Key header, and accounts can make up to 500 requests per minute before excess calls receive a 429 response. Picsart lists video background removal at 15 credits per minute, with monthly credit pricing tailored to estimated volume and use case. New accounts receive 5 free credits, and a free trial provides full API access without a stated duration. The service is aimed at developers and business workflows such as e-commerce, social media, and digital asset management.

Visit docs.picsart.io

Transparent Background

Transparent Background is a free Python package that removes backgrounds from images and video using InSPyReNet. It accepts individual files, folders of images or videos, and webcam addresses through its command-line interface; it also offers a Python API and optional GUI. Outputs include transparent RGBA images, saliency maps, green or white backgrounds, blurred or overlaid backgrounds, and composites with another image. The available model modes are base, fast, and base-nightly, with support for custom checkpoints. Static resizing is the default and favors stability over detail; dynamic resizing may sharpen edges but can be unstable. The package supports batch processing and PNG, JPG/JPEG, and MP4 inputs. RGBA output is not supported for video or webcam input. Webcam support is optional, described as unstable, and limited to Linux. Installations are available from PyPI, GitHub, or a local clone, with CPU-only and GPU setup instructions. It runs on Linux, macOS, Windows, and self-hosted systems. The listed plan is free.

Visit github.com