CO/AI Subscribe
Thursday · June 4, 2026 · Issue No. 885

What does it do?

  • Image Classification
  • Content Moderation
  • User-Generated Content Filtering
  • E-commerce Product Catalog Management
  • Web Development

How is it used?

  • Integrate JS library
  • upload image
  • classify
  • display results.
  • 1. Integrate library
See more

Who is it good for?

  • Web Developers
  • Content Moderators
  • E-commerce Managers
  • Platform Administrators
  • Community Managers

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    NSFW JS
  • Released On

NSFW JS is an open-source JavaScript library that detects inappropriate content in images using machine learning models. This tool enables developers to ensure user-uploaded images comply with content guidelines by classifying them into predefined categories.

Key features:
- Image Classification: Categorizes images as "Drawing," "Hentai," "Neutral," "Porn," or "Sexy."
- Real-time Detection: Processes images instantly for immediate feedback.
- Client-Side Processing: Runs entirely in the browser, preserving user privacy and reducing server load.
- Pre-trained Models: Includes ready-to-use models for quick integration without extensive machine learning expertise.
- Customization: Allows fine-tuning of models or use of custom datasets for improved accuracy in specific use cases.

How it works:
1. Integrate the NSFW JS library into your project using a script tag or npm installation.
2. Provide an image input element in your HTML for user uploads.
3. Use the NSFW JS API to analyze the uploaded image and classify it.
4. Display classification results or take appropriate action based on the classification.

Integrations:
Content Management Systems (CMS), Social Media Platforms, E-commerce Websites

Use of AI:
NSFW JS uses pre-trained convolutional neural networks (CNNs) for image classification. These models are trained on large datasets of labeled images to recognize patterns and classify new images accurately. The library focuses on analyzing and classifying existing images rather than generating new content.

AI foundation model:
The library leverages pre-trained convolutional neural networks (CNNs) for image classification. These models are trained on extensive datasets of labeled images to recognize patterns and accurately classify new images.

Target users:
- Web Developers integrating content moderation features into applications
- Platform Administrators ensuring user-uploaded content complies with guidelines
- E-commerce Managers maintaining appropriate product catalogs

How to access:
NSFW JS is primarily used as a web library that can be integrated into web applications. Developers can use the API to incorporate NSFW JS functionalities into their own applications.

Open Source Status:
NSFW JS is an open-source project, allowing developers to contribute to its development and customize it for their specific needs.

  • Supported ecosystems
    GitHub, Unknown
  • What does it do?
    Image Classification, Content Moderation, User-Generated Content Filtering, E-commerce Product Catalog Management, Web Development
  • Who is it good for?
    Web Developers, Content Moderators, E-commerce Managers, Platform Administrators, Community Managers

PRICING

Visit site
Pricing model: Unknown

Alternatives

Analyze images to determine if they are safe for work using Stable Diffusion's safety checker
SIGNAL / NOISE

All Signal.
No Noise.

One concise email a day. Curated by Anthony Batt & Harry DeMott.

Free. Unsubscribe anytime.