OCR

Advanced solution for Optical Character Recognition

by api4ai

HTML

<!DOCTYPE html>
<html lang="en">
<head>
  <title>OCR Text Recognition API sample</title>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <link rel="stylesheet" href="https://unpkg.com/@picocss/pico@latest/css/pico.min.css">
</head>
<body>
  <main class="container">
    <article style="margin-top: 0px; text-align: center;">
      <h3>OCR API sample</h3>
      <p>This API processes images and performs Optical Character Recognition.</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="sectionParsed" hidden>
      <label for="parsed">💬 Recognized text:
        <pre id="parsed" style="padding: 10px;"></pre>
      </label>
    </section>
    <section id="sectionRaw" hidden>
      <label for="raw">💬 Raw response:
        <pre id="raw" style="padding: 10px;"></pre>
      </label>
    </section>
  </main>
</body>
</html>

JavaScript

// Example of using API4AI OCR text recognition.

// Use 'demo' mode just to try api4ai for free. Free demo is rate limited.
// For more details visit:
//   https://api4.ai

// Use 'rapidapi' if you want to try api4ai via RapidAPI marketplace.
// For more details visit:
//   https://rapidapi.com/api4ai-api4ai-default/api/ocr43/details
const MODE = 'demo'

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

const OPTIONS = {
  demo: {
    url: 'https://demo.api4ai.cloud/ocr/v1/results',
    headers: { 'A4A-CLIENT-APP-ID': 'sample' }
  },
  rapidapi: {
    url: 'https://ocr43.p.rapidapi.com/v1/results',
    headers: { 'X-RapidAPI-Key': RAPIDAPI_KEY }
  }
}

document.addEventListener('DOMContentLoaded', function (event) {
  const input = document.getElementById('file')
  const raw = document.getElementById('raw')
  const sectionRaw = document.getElementById('sectionRaw')
  const parsed = document.getElementById('parsed')
  const sectionParsed = document.getElementById('sectionParsed')
  const spinner = document.getElementById('spinner')

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

    sectionRaw.hidden = true
    sectionParsed.hidden = true
    spinner.hidden = false

    // Preapare request.
    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) {
        // Print raw response.
        raw.textContent = JSON.stringify(response, undefined, 2)
        sectionRaw.hidden = false
        // Parse response and print recognized text.
        const text = response.results[0].entities[0].objects[0].entities[0].text
        parsed.textContent =...