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NSFW Image Content Detector

· Last updated：2026-11-11

AI content-moderation classifier using NSFWJS to flag uploaded images as safe or potentially inappropriate. Built for moderation and compliance review of your own files — it analyzes uploads only and is not an image search or discovery tool. Supports JPEG/PNG/WEBP/GIF.

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Written by the Elysia Tools team
Image355
AI63
PNG63
JPEG52
JPG52
WebP37
GIF31

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
Output type
json
Sample coverage
4
API ready
Yes

Overview

NSFW Image Content Detector is an AI content-moderation classifier built on the NSFWJS model. Upload JPEG, PNG, WebP, or GIF images and it returns five category probabilities plus a safe/unsafe verdict, helping you review your own files for compliance before publishing.

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

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

Compare alternatives

  • Extract dominant colors from images using various algorithms including k-means clustering and histogram analysis

  • Calculate the difference between two images to identify changes or create comparison masks

  • Add an image watermark to videos with customizable position, size, opacity, and timing

Who it's for

Best for

  • Convert images in the browser.
  • Workflows where Analysis Mode matters, such as Auto (NSFWJS with fallback) or Feature Analysis (faster).
  • Repeatable jobs with images and the same settings every time.

Not ideal for

  • Fully automated batch jobs — this page is built for interactive use; use the API endpoint for scripts.
  • Files in formats this tool does not accept — it works with .jpg, .png, .webp, .gif input.

Edge cases & common failures

  • Very large files

    Large files take longer and can hit browser memory limits — try a smaller sample first.

  • Skipping the output check

    Compare the first rows or pages of the output with the input before using it in production.

  • Files from unusual exporters

    Some files use format variants that do not convert cleanly — if the output looks wrong, re-save the file from the app that created it and try again.

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.

Which model powers the detection, and is it consistent?

Every image is classified by the bundled NSFWJS MobileNetV2 model on the server. The model produces the five category probabilities deterministically: the same image always returns the same numbers. There is no heuristic or random fallback; if the model is unavailable, the run is rejected instead of guessing.

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.

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