Image Upscale API sample

Reliable solution for detection of sensitive areas in an image and their automatic blurring

by api4ai

HTML

<link rel="stylesheet" href="https://unpkg.com/@picocss/pico@latest/css/pico.min.css">

  <main class="container">
    <article style="margin-top: 0px; text-align: center;">
      <h3>Image Upscale API sample</h3>
      <p>Transform pixelated images into crisp, high-resolution versions.</p>
    </article>
    <label for="file">Select image to upload
      <input type="file" id="file" name="file">
    </label>
    <h4 id="spinner" style="text-align: center;" aria-busy="true" hidden>Processing</h4>
    <section id="sectionParsedImage" hidden>
      <label for="result-image">💬 Result image:
        <img id="result-image">
      </label>
    </section>
  </main>

JavaScript

// Example of using API4AI Image Upscale API.

// Use 'normal' mode if you have an API Key from the API4AI Developer Portal. This is the method that users should normally prefer.
// Use 'rapidapi' if you want to try api4ai via RapidAPI marketplace.
// For more details visit:
//   https://rapidapi.com/api4ai-api4ai-default/api/image-upscale/details
const MODE = 'normal'

// Your API4AI key. Fill this variable with the proper value if you have one.
const API4AI_KEY = ''

// Your RapidAPI key. Fill this variable with the proper value if you want
// to try api4ai via RapidAPI marketplace.
const RAPIDAPI_KEY = ''

const OPTIONS = {
  normal: {
    url: 'https://api4ai.cloud/image-upscale/v1/results',
    headers: { 'X-API-KEY': API4AI_KEY }
  },
  rapidapi: {
    url: 'https://image-upscale.p.rapidapi.com/v1/results',
    headers: { 'X-RapidAPI-Key': RAPIDAPI_KEY }
  }
}

document.addEventListener('DOMContentLoaded', function (event) {
  const input = document.getElementById('file')
  const resultImage = document.getElementById('result-image')
  const sectionParsedImage = document.getElementById('sectionParsedImage')
  const spinner = document.getElementById('spinner')

  input.addEventListener('change', (event) => {
    const file = event.target.files[0]
    if (!file) {
      return false
    }

    sectionParsedImage.hidden = true
    spinner.hidden = false

    // Preapare request: form.
    const form = new FormData()
    form.append('image', file)
    const requestOptions = {
      method: 'POST',
      body: form,
      headers: OPTIONS[MODE].headers
    }

    // Make request.
    fetch(OPTIONS[MODE].url, requestOptions)
      .then(response => response.json())
      .then(function (response) {
        // Parse response and show result image.
        const responseEntities = response.results[0].entities
        const imgBase64 = responseEntities[0].image
        const imgFormat =...