NSFW Filter

An npm library that helps filter out inappropriate images using AI.

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Installation

npm i nsfw-filter

Usage

import NSFWFilter from 'nsfw-filter';

const isSafe = await NSFWFilter.isSafe(image);

Full example

import { useState } from 'react';
import NSFWFilter from 'nsfw-filter';

function ImageUploader() {
  const [imageUrl, setImageUrl] = useState('');

  const handleImageUpload = async (event) => {
    const file = event.target.files[0];

    // Check to see if the image is appropriate
    const isSafe = await NSFWFilter.isSafe(file);
    if (!isSafe) return 'Image is not appropriate';

    // Process the image if it is safe
    if (file) {
      const reader = new FileReader();
      reader.onloadend = () => {
        setImageUrl(reader.result);
      };
      reader.readAsDataURL(file);
    }
  };

  return (
    <div>
      <input type="file" onChange={handleImageUpload} />
      {imageUrl && <img src={imageUrl} alt="Uploaded" />}
    </div>
  );
}

export default ImageUploader;

Real world usage

nsfw-filter is currently used in production to process hundreds of thousands of images for a popular image restoration service called restorePhotos. It helps prevent people from uploading inappropriate pictures. See how it's used here.

Using in a browser environment with vite

you can polyfill the core node modules used in nsfw-filter for browser compatibility such as

["path", "stream", "assert", "events", "zlib", "util", "buffer"]

more on this: https://vitejs.dev/guide/troubleshooting.html

install vite-plugin-node-polyfills with npm: https://www.npmjs.com/package/vite-plugin-node-polyfills in vite.config.js

import { defineConfig } from "vite";
import react from "@vitejs/plugin-react-swc";
import { nodePolyfills } from "vite-plugin-node-polyfills";
import path from "path";
export default defineConfig({
  plugins: [
    nodePolyfills({
      // To add only specific polyfills, add them here. If no option is passed, adds all polyfills
      include: ["path", "stream", "assert", "events", "zlib", "util", "buffer"],
    }),
    react(),
  ],
  resolve: {
    alias: {
      "@": path.resolve(__dirname, "./src"),
      "~": path.resolve(__dirname, "./"),
    },
  },
});

bonus: you can polyfill path to support path aliases for vite when you deploy your could on the cloud for example vercel. so you can use @ import { cn } from "@/lib/utils" disclaimer: using nsfw-filter on the browser will dramatically increase your bundle size.

How it works

This library uses both Tensorflow.js, an OSS library for machine learning models, and nsfwjs to predict whether a given image is NSFW (Not Safe For Work).