Best NSFWJS Alternatives ranked by AI · updated Aug 2026

NSFWJS is an open-source JavaScript library that classifies images into adult-content categories directly in the browser or Node.js. It is intended for developers who want local inference without sending media to a third-party API.

Developer: Infinite Red Price: Free, open source 🎯 nsfwjs.com

Top 6 NSFWJS alternatives

3 NSFW Filter logo

NSFW Filter

NSFW Filter

NSFW Filter is an AI-powered service for detecting sexually explicit or unsafe visual content in images. It is aimed at developers and...

Pros

  • Quicker to set up than building a custom NSFW classifier
  • Focused specifically on explicit-image detection
  • More accessible for small projects than enterprise moderation platforms

Cons

  • Less extensive documentation and ecosystem than AWS or Google Cloud
  • Fewer moderation categories and controls than enterprise APIs
  • Limited suitability for large-scale video and multimodal moderation

Free online tool; API pricing varies

Google Cloud Vision provides powerful image analysis capabilities, including labeling images and detecting explicit content.

Pros

  • Backed by Google's AI technology
  • Easy integration with other Google Cloud services

Cons

  • May be expensive for large volumes of content

Hive Moderation provides automated text, image, video, and audio moderation APIs for platforms and online communities. It is aimed at developers and...

Pros

  • Broader multimodal coverage than Bodyguard
  • Offers APIs for text, images, video, and audio
  • Well suited to large-scale automated moderation pipelines

Cons

  • More integration work than Bodyguard's focused text-moderation offering
  • Enterprise pricing is not publicly listed
  • Configuration can require dedicated trust-and-safety expertise

Azure AI Content Safety is a set of APIs for detecting harmful text and images in applications. It targets developers and enterprises...

Pros

  • Supports both text and image safety analysis
  • Provides configurable harm categories and severity thresholds
  • Integrates well with Azure identity, monitoring, and enterprise controls

Cons

  • Requires Azure setup and cloud-platform familiarity
  • Less specialized for cyberbullying workflows than Bodyguard
  • Costs can be harder to predict at high request volumes

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