# rembg > Remove backgrounds from images - **Canonical URI:** https://www.vioscale.ai/software/rembg - **Category:** Background Removal - **Homepage:** https://github.com/danielgatis/rembg - **Also known as:** rembg - **Profile claimed by vendor:** no - **Last updated:** 2026-09-01T14:59:19.514Z ## Vioscale score **52.9 / 100**, confidence 19% (low). Computed 2026-09-01. Composite of weighted, independently-sourced signals (no user reviews, no vendor payment). | Signal | Score | Weight | Contribution | Evidence present | |---|--:|--:|--:|:--:| | price_level | 0 | 0.052 | 0 | - | | reliability | 0 | 0.073 | 0 | - | | capabilities | 57.8 | 0.084 | 4.9 | ✓ | | repo_stars | 82.8 | 0.026 | 2.2 | ✓ | | integrations | 0 | 0.09355555555555557 | 0 | - | | dependent_projects | 37.5 | 0.063 | 2.4 | ✓ | | dev_activity | 34 | 0.094 | 3.2 | ✓ | | release_cadence | 90.6 | 0.052 | 4.7 | ✓ | | security_posture | 0 | 0.073 | 0 | - | | package_downloads | 0 | 0.136 | 0 | - | | security_score | 43 | 0.042 | 1.8 | ✓ | | pricing_transparency | 0 | 0.084 | 0 | - | | community_qa_activity | 0 | 0.063 | 0 | - | ## About A tool for automatic background removal from images that works as a CLI tool, Python library, HTTP server, or Docker container. Supports batch processing with fine-detail edge detection for hair and fur. _Independently observed._ ## Platform & deployment - **Platforms:** CLI - **Deployment:** Cloud / SaaS, Self-hosted ## Capabilities _The capabilities that matter for Background Removal. "-" = undocumented, not absent._ | Capability | Supported | |---|:--:| | **Capabilities** | | | Architecture model | Managed cloud API | | Fully automatic zero click AI masking model | ✓ | | Fine detail hair and fur edge detection accuracy | ✓ | | Bulk batch processing for entire ecommerce catalogs | ✓ | | Automatic drop shadow and reflection rendering | - | | AI generative background replacement prompting | - | | Manual brush fallback tools for mask correction | - | | Shopify app store native integration | - | | Figma and photoshop plugin extensions | - | | Transparent png and psd photoshop file export | - | | SOC2 type ii | - | | ISO 27001 | - | | Pricing model | - | ## Release history | Version | Date | Type | |---|---|---| | [v2.0.81](https://github.com/danielgatis/rembg/releases/tag/v2.0.81) | 2026-08-18 | stable | | [v2.0.80](https://github.com/danielgatis/rembg/releases/tag/v2.0.80) | 2026-08-17 | stable | | [v2.0.79](https://github.com/danielgatis/rembg/releases/tag/v2.0.79) | 2026-08-17 | stable | | [v2.0.78](https://github.com/danielgatis/rembg/releases/tag/v2.0.78) | 2026-08-06 | stable | | [v2.0.77](https://github.com/danielgatis/rembg/releases/tag/v2.0.77) | 2026-07-18 | stable | | [v2.0.76](https://github.com/danielgatis/rembg/releases/tag/v2.0.76) | 2026-06-03 | stable | | [v2.0.75](https://github.com/danielgatis/rembg/releases/tag/v2.0.75) | 2026-04-08 | stable | | [v2.0.74](https://github.com/danielgatis/rembg/releases/tag/v2.0.74) | 2026-03-25 | stable | | [v2.0.73](https://github.com/danielgatis/rembg/releases/tag/v2.0.73) | 2026-03-15 | stable | | [v2.0.72](https://github.com/danielgatis/rembg/releases/tag/v2.0.72) | 2026-01-03 | stable | | [v2.0.71](https://github.com/danielgatis/rembg/releases/tag/v2.0.71) | 2026-01-03 | stable | | [v2.0.70](https://github.com/danielgatis/rembg/releases/tag/v2.0.70) | 2026-01-03 | stable | | [v2.0.69](https://github.com/danielgatis/rembg/releases/tag/v2.0.69) | 2025-12-04 | stable | | [v2.0.68](https://github.com/danielgatis/rembg/releases/tag/v2.0.68) | 2025-11-17 | stable | | [v2.0.67](https://github.com/danielgatis/rembg/releases/tag/v2.0.67) | 2025-07-05 | stable | _… and 5 earlier release(s)._ ## Security & compliance Known vulnerabilities: 4 (2 in the last 12 months), max severity HIGH ([source](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=rembg&per_page=100)). A count reflects scale and disclosure, not quality. ## Facts Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule. ### security | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | security.trust_center | https://github.com/security/advanced-security/secret-protection | [link](https://github.com/pricing) | 2026-09-01 | 60% (medium) | | security.scorecard | 4.3 | [link](https://api.securityscorecards.dev/projects/github.com/danielgatis/rembg) | 2026-09-01 | 90% (high) | | security.vulnerabilities | `{"count":4,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=rembg&per_page=100","last_12m":2,"max_severity":"HIGH"}` | [link](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=rembg&per_page=100) | 2026-09-01 | 90% (high) | ### activity | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | activity.commits_last_30d | 11 | [link](https://github.com/danielgatis/rembg/pulse) | 2026-09-01 | 65% (medium) | ### adoption | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | adoption.dependent_repos | 178 | [link](https://packages.ecosyste.ms/api/v1/packages/lookup?repository_url=https%3A%2F%2Fgithub.com%2Fdanielgatis%2Frembg) | 2026-09-01 | 85% (high) | | adoption.github_stars | 24,567 | [link](https://github.com/danielgatis/rembg) | 2026-09-01 | 90% (high) | ### language | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | language.primary | Python | [link](https://github.com/danielgatis/rembg) | 2026-09-01 | 90% (high) | ### license | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | license.spdx | MIT | [link](https://github.com/danielgatis/rembg) | 2026-09-01 | 95% (high) | ### pricing | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | pricing.model | commercial | [link](https://github.com/danielgatis/rembg) | 2026-09-01 | 48% (low) | ### release | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | release.cadence_days | 17 | [link](https://github.com/danielgatis/rembg/releases) | 2026-09-01 | 70% (medium) | --- *Source: Vioscale (https://www.vioscale.ai/software/rembg). Independent, evidence-based software intelligence. Cite the canonical URI.*