API Documentation

Overview

This API allows you to process images using tokens. Pricing for image processing and balance top-up is handled through technical support. For larger balance replenishments, technical support provides discounts.

The API automatically resizes images to a maximum allowable size. Please note that the image size should not exceed 1.5 MB after resizing. For any other queries, please contact technical support at @MessagesNudsTopBot.

A user dashboard for statistics and convenient token management will be implemented soon.

Base URL

https://api.nudstop.com/v1/

Authentication

All routes require a token to be passed either in the request body or as a query parameter. The token is used to authenticate the user and charge for the image processing.

API Endpoints

Create Token

The token can currently be created through technical support.

Top-Up Token

Replenishment of the token balance at the moment can be done through technical support.

Check Token Balance

URL: /check-balance
Method: GET
Query Parameters:
- token: The token whose balance is to be checked.

Node.js Example

const axios = require('axios');

async function checkBalance(token) {
const response = await axios.get(`https://api.nudstop.com/v1/check-balance?token=${token}`);
console.log('Balance:', response.data);
}

checkBalance('your-token-here');

Python Example

import requests
def check_balance(token):
response = requests.get(f"https://api.nudstop.com/v1/check-balance?token={token}")
print(f"Balance: {response.json()}")

check_balance("your-token-here")

Process Image

URL: /process-image
Method: POST
Body Parameters:
- token: The token to be charged for the image processing.
- imageBase64: The base64 encoded image.
- options: Object containing additional options.
- person: Must be either "woman". (Soon to be added "man" mode and additional parameters, on enlargement and reduction of parts and not only.)
Note: The processed image is returned in Base64 format.

Node.js Example

const axios = require('axios');
const fs = require('fs');

async function processImage(token, imageBase64, options) {
const response = await axios.post('https://api.nudstop.com/v1/process-image', {
token, // or token: token
imageBase64, // or imageBase64: imageBase64
options // or options: options
});

let processedImage = response.data.processedImage;

// Saving the image
const imageBuffer = Buffer.from(processedImage, 'base64');
fs.writeFileSync('processed_image.jpg', imageBuffer);
}

processImage('your-token-here', 'your-base64-image', { person: 'woman' });

Python Example

import requests
import base64

def process_image(token, image_base64, options):
response = requests.post("https://api.nudstop.com/v1/process-image", json={
"token": token,
"imageBase64": image_base64,
"options": options
})
processed_image = response.json()['processedImage']

# Saving the image
image_data = base64.b64decode(processed_image)
with open("processed_image.jpg", "wb") as f:
f.write(image_data)

process_image("your-token-here", "your-base64-image", {"person": "woman"})