# alganzory/HaramBlur

A Browser extension that enables you to navigate the web with respect for your Islamic values, protect your privacy and reduce browsing distractions by auto detecting and blurring "Haram" content.

Repository: https://github.com/alganzory/HaramBlur
Canonical: https://ross.abutalabs.com/products/haramblur
Homepage: https://haramblur.com
Language: JavaScript
License: AGPL-3.0
License Family: copyleft
Topics: browser-extension, chrome-extension, detection, face-detection, face-recognition, filter, gender-classification, islamic, nudity-detection, nsfw-detection, nsfwjs
Last push: 2024-08-12T06:36:21+00:00

## Health v2 (maintenance only)
Score: 18/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 76
- inputs: {"age_days": 1076, "days_push": 751, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2048, forks 126 (observed 2026-08-28T04:06:08.982268+00:00)

## What it is
HaramBlur is a browser extension that automatically detects and blurs inappropriate images and videos on web pages using on-device machine learning, including nudity detection and gender classification. It also blocks harmful websites, with all analysis running locally to protect user privacy.

## Use cases
- blur nsfw images while browsing
- filter inappropriate video content in real time
- block haram websites automatically
- browse the web according to islamic values
- reduce distracting content while browsing
- detect and blur images containing women locally

## When to choose
- you want a privacy-respecting, fully local content filter in your browser
- you need automatic blurring of nudity or immodest imagery on any website
- you want an islamic-values-oriented browsing filter with website blocking

## When to avoid
- you need server-side or enterprise-wide content filtering across a network
- you need a filter for non-browser apps or the whole operating system
- you require guaranteed accuracy, as ML-based detection can produce false positives or negatives

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, computer-vision, machine-learning, privacy, security
- domain: browser-extensions, privacy, computer-vision, accessibility
- platform: browser, browser-extension
- tags: nsfw-detection, face-detection, islamic, content-filtering, on-device-ml, chrome-extension, browser-extension

## Member repositories
- alganzory/HaramBlur (main) score 18

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.982268+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:39:24.680732+00:00, confidence not recorded.
  - homepage: https://haramblur.com (fetched 2026-08-29T10:38:04.216790+00:00, sha 425ed3315644)
- Data as of 2026-08-30T08:39:29.467469+00:00.