NSFW Image Content Detector

NSFW Image Content Detector | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: AI Tools
Input types: file, range, select
Output type: json
Sample coverage: 4
API ready: Yes

Overview

The NSFW Image Content Detector is an AI-powered content moderation tool that analyzes uploaded images to identify safe and potentially inappropriate visual material using NSFWJS and feature analysis. Designed for compliance review and pre-moderation workflows, it processes user-provided JPEG, PNG, WebP, and GIF files locally against adjustable sensitivity thresholds.

When to use

Auditing user-submitted profile avatars, cover photos, or forum attachments before publishing them live.
Checking ad creatives, marketing banners, and media assets against strict platform safety standards.
Testing and calibrating detection sensitivity thresholds for automated community moderation pipelines.

How it works

1Select and upload an image file in JPEG, PNG, WebP, or GIF format up to 20MB in size.
2Choose an analysis mode such as Auto, Feature Analysis for fast checks, or NSFWJS Model for higher accuracy.
3Adjust the sensitivity threshold from strict (0.1) to permissive (0.9) to match your moderation criteria.
4Run the scan to receive structured JSON output containing content safety classifications and score probabilities.

Use cases

Community managers vetting user-generated uploads before integrating them into a public media feed.
Compliance officers auditing uploaded digital marketing assets to prevent accidental platform policy violations.
Developers validating moderation thresholds against sample media sets prior to production deployment.

Examples

1. Strict Profile Photo Compliance Check

Community Moderator

Background

A community moderator needs to review newly uploaded user avatars on an educational platform where no suggestive imagery is permitted.

Problem

Manual visual review is slow and needs an automated baseline score with strict thresholds.

How to use

Upload `avatar_user102.png`, set Detection Sensitivity to 0.2, and select the NSFWJS Model analysis mode.

Sensitivity: 0.2, Mode: model

Outcome

Receives JSON classification scores confirming the image contains no suggestive elements, marking it safe for platform use.

2. Rapid Batch Pre-Screening for Ad Banners

Digital Ad Operations Specialist

Background

An ad operations specialist handles promotional banners that must adhere to strict advertising network content policies.

Problem

High-volume asset submissions require fast checks to catch obvious policy violations before campaign launches.

How to use

Upload `promo_banner.webp`, set Detection Sensitivity to 0.5, and choose Feature Analysis for rapid processing.

FAQ

What image file formats are supported?

The detector supports JPEG, JPG, PNG, WebP, and GIF formats up to 20MB.

How does the tool handle animated GIF files?

GIF files are evaluated by analyzing only the first frame of the animation.

What is the difference between the analysis modes?

NSFWJS Model provides higher accuracy, Feature Analysis offers faster processing, and Auto combines NSFWJS with fallback mechanisms.

How does adjusting the sensitivity threshold affect the results?

Lower values (e.g., 0.1 to 0.3) enforce strict moderation, while higher values (e.g., 0.7 to 0.9) are more permissive.

Can this tool search the web for inappropriate images?

No, the tool operates strictly as a classifier for individual files you manually upload.

Sensitivity: 0.5, Mode: features

Run this tool

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Continue with connected tools and hubs

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Strict Profile Photo Compliance Check

2. Rapid Batch Pre-Screening for Ad Banners

FAQ

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