Skip to content
Back to the index

snipbg

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 13 Oct 2026. How this is checked

snipbg is an MIT-licensed Python package for removing image backgrounds with ONNX segmentation models. It provides a reusable library, command-line interface, and HTTP API for developers processing images locally or in applications.

Inferred · not functionally tested

Open SourceMITCLIAPISelf-hosted
Visit PyPI
5stars
2forks
6features
2025since

Overview

6 features

Purpose: Removing image backgrounds programmatically without manually editing each image.

Inferred · not functionally tested

Audience: developers building image-processing workflows

Inferred · not functionally tested

Functions: image_generation

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

snipbg is a Background removal project. Inferred · not functionally tested: It focuses on removing image backgrounds programmatically without manually editing each image. Inferred · not functionally tested: snipbg is an open-source project aimed at developers building image-processing workflows. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

Behind snipbg is Asim Makhmudov, and it first shipped in 2025. The project is developed in the open on GitHub with 4 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are background removal, ONNX models, and python library.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Background removal
  • ONNX models
  • Python library
  • Command-line interface
  • HTTP API
  • Transparent output

Topics: Inferred · not functionally tested

Tags
background-removalonnx-segmentationimage-cutouttransparent-images
AI capabilities
Image
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
Written with
Claude Code
Runs on
CLIAPI-onlySelf-hosted
Written with — evidence
Claude Code
commit a09955ca816d · since Oct 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 5Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed13 Oct · 18:32 UTC
    snipbg seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about snipbg

What does snipbg do?
Inferred · not functionally tested: Snipbg focuses on removing image backgrounds programmatically without manually editing each image. It is catalogued under Background removal on PulseGate.
Who should use snipbg?
Inferred · not functionally tested: snipbg is an open-source project built for developers building image-processing workflows.
Is snipbg free?
Basis unknown · not verified: Yes — snipbg is open source under the MIT license and free to use.
What platforms does snipbg run on?
Basis unknown · not verified: snipbg runs on the command line and API. It can also be self-hosted.
Is snipbg still maintained?
The GitHub repository shows 4 commits in the last 90 days.
Who develops snipbg?
snipbg is developed by Asim Makhmudov.
How long has snipbg been around?
snipbg first shipped in 2025.
Is snipbg open source?
Basis unknown · not verified: Yes — snipbg is open source under the MIT license, developed on GitHub.

Similar projects

Closest matches by what these projects do