https://github.com/rsnlabs/rsn-filter

A comprehensive NSFW image detection npm package, equipped with advanced algorithms to ensure the safety and integrity of online platforms by swiftly identifying and filtering explicit content
https://github.com/rsnlabs/rsn-filter

nsfw-classifier nsfw-detection nsfw-recognition

Last synced: 14 days ago
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A comprehensive NSFW image detection npm package, equipped with advanced algorithms to ensure the safety and integrity of online platforms by swiftly identifying and filtering explicit content

• Host: GitHub
• URL: https://github.com/rsnlabs/rsn-filter
• Owner: rsnlabs
• License: mit
• Created: 2024-05-24T07:43:43.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-02T09:49:18.000Z (7 months ago)
• Last Synced: 2024-12-18T19:19:25.159Z (15 days ago)
• Topics: nsfw-classifier, nsfw-detection, nsfw-recognition
• Language: JavaScript
• Homepage:
• Size: 8.79 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        


RsnFilter 



Advanced NSFW Image Detection Package


  


A comprehensive NSFW image detection npm package, equipped with advanced algorithms to ensure the safety and integrity of online platforms by swiftly identifying and filtering explicit content

## Installation

**Installation**

```bash

npm i rsn-filter

```

# APIKEY

Discord : [https://discord.gg/r5QWdKfQxr](https://discord.gg/r5QWdKfQxr)

Join discord server and create account with **/new** slash command and get your apikey with **/key** slash command for free!

## Usage Filter

```javascript

const { RsnFilter } = require("rsn-filter");

const rsnfilter = new RsnFilter("rsnai_××××××××××××××××××××××");

(async () => {

  const imageUrl = "";

  

  try {

    const response = await rsnfilter.filter(imageUrl);

        

    if (response.result === true) {

      console.log(response.message);

    }

        

    if (response.result === false) {

      console.log(response.message);

    }

  } catch (error) {

    console.error("RsnFilter Error:", error);

  }

})();

```