Convert your image src https://cdn.shopify.com/s/files/1/0234/8017/2591/products/young-man-in-bright-fashion_925x_f7029e2b-80f0-4a40-a87b-834b9a283c39.jpg into Base64 ULR format and than convert Base64 URL into javaScript File Object.
***Here is the code for converting "image source" (url) to "Base64".***
let url = 'https://cdn.shopify.com/s/files/1/0234/8017/2591/products/young-man-in-bright-fashion_925x_f7029e2b-80f0-4a40-a87b-834b9a283c39.jpg'
const toDataURL = url => fetch(url)
.then(response => response.blob())
.then(blob => new Promise((resolve, reject) => {
const reader = new FileReader()
reader.onloadend = () => resolve(reader.result)
reader.onerror = reject
reader.readAsDataURL(blob)
}))
***Here is code for converting "Base64" to javascript "File Object".***
function dataURLtoFile(dataurl, filename) {
var arr = dataurl.split(','), mime = arr[0].match(/:(.*?);/)[1],
bstr = atob(arr[1]), n = bstr.length, u8arr = new Uint8Array(n);
while(n--){
u8arr[n] = bstr.charCodeAt(n);
}
return new File([u8arr], filename, {type:mime});
}
*** Calling both function ***
toDataURL(url)
.then(dataUrl => {
console.log('Here is Base64 Url', dataUrl)
var fileData = dataURLtoFile(dataUrl, "imageName.jpg");
console.log("Here is JavaScript File Object",fileData)
fileArr.push(fileData)
})
Answer from Kumar on Stack Overflownode.js - How to convert image source into a JavaScript File object - Stack Overflow
Using convert image in JavaScript - Automation - DEVONtechnologies Community
html - How to convert from image to text using Javascript - Stack Overflow
Convert Images Using Canvas and Javascript
Why convert image to HTML in JavaScript?
How to convert image into HTML?
- Install Aspose.Words for Node.js via .NET.
- Add a library reference (import the library) to your JavaScript project.
- Open the source image file in JavaScript.
- Call the save() method, passing an output filename with HTML extension.
- Get the result of image conversion as HTML.
What other file formats can I convert my image to?
Convert your image src https://cdn.shopify.com/s/files/1/0234/8017/2591/products/young-man-in-bright-fashion_925x_f7029e2b-80f0-4a40-a87b-834b9a283c39.jpg into Base64 ULR format and than convert Base64 URL into javaScript File Object.
***Here is the code for converting "image source" (url) to "Base64".***
let url = 'https://cdn.shopify.com/s/files/1/0234/8017/2591/products/young-man-in-bright-fashion_925x_f7029e2b-80f0-4a40-a87b-834b9a283c39.jpg'
const toDataURL = url => fetch(url)
.then(response => response.blob())
.then(blob => new Promise((resolve, reject) => {
const reader = new FileReader()
reader.onloadend = () => resolve(reader.result)
reader.onerror = reject
reader.readAsDataURL(blob)
}))
***Here is code for converting "Base64" to javascript "File Object".***
function dataURLtoFile(dataurl, filename) {
var arr = dataurl.split(','), mime = arr[0].match(/:(.*?);/)[1],
bstr = atob(arr[1]), n = bstr.length, u8arr = new Uint8Array(n);
while(n--){
u8arr[n] = bstr.charCodeAt(n);
}
return new File([u8arr], filename, {type:mime});
}
*** Calling both function ***
toDataURL(url)
.then(dataUrl => {
console.log('Here is Base64 Url', dataUrl)
var fileData = dataURLtoFile(dataUrl, "imageName.jpg");
console.log("Here is JavaScript File Object",fileData)
fileArr.push(fileData)
})
I'm assuming you want to run this in a browser environment.
You can use the native fetch() method, read the response as Blob and convert it to a File object.
contentType should be based on the type of the actual image downloaded.
You can read more about several approaches and browser support to convert a Blob to File here:
Convert blob to file
How to convert Blob to File in JavaScript
const url = 'https://cdn.shopify.com/s/files/1/0234/8017/2591/products/young-man-in-bright-fashion_925x_f7029e2b-80f0-4a40-a87b-834b9a283c39.jpg?v=1572867553'
const fileName = 'myFile.jpg'
fetch(url)
.then(async response => {
const contentType = response.headers.get('content-type')
const blob = await response.blob()
const file = new File([blob], fileName, { contentType })
// access file here
})
» npm install image-conversion
If you attach an event listener to the file input, you can then recognize text once the file has been loaded successfully, like so:
<html>
<body>
<input type="file" id="myFile" name="filename">
<br><br>
<label><b>Your Converted Text:</b></label><br><br>
<textarea cols="30" name="original" rows="10" style="width: 100%;" id="convertedText">
</textarea>
<script src='https://cdn.rawgit.com/naptha/tesseract.js/1.0.10/dist/tesseract.js'></script>
<script>
var myFile = document.getElementById('myFile');
myFile.addEventListener('change', recognizeText);
async function recognizeText({ target: { files } }) {
Tesseract.recognize(files[0]).then(function(result) {
console.log("recognizeText: result.text:", result.text);
document.getElementById("convertedText").value = result.text;
});
}
</script>
</body>
</html>
Below code will convert any image to text!
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Image to Text Converter</title>
<script src="https://cdn.jsdelivr.net/npm/tesseract.js/dist/tesseract.min.js"></script>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
display: flex;
justify-content: center;
align-items: center;
flex-direction: column;
min-height: 100vh;
background-color: #f3f4f6;
}
.container {
max-width: 500px;
width: 100%;
padding: 20px;
background: white;
border-radius: 10px;
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1);
text-align: center;
}
.container h1 {
font-size: 1.5rem;
margin-bottom: 20px;
}
input[type="file"] {
margin-bottom: 20px;
}
#output {
margin-top: 20px;
padding: 10px;
background: #f9fafb;
border: 1px solid #e5e7eb;
border-radius: 5px;
overflow: auto;
max-height: 200px;
}
button {
padding: 10px 20px;
background-color: #2563eb;
color: white;
border: none;
border-radius: 5px;
cursor: pointer;
font-size: 1rem;
}
button:hover {
background-color: #1d4ed8;
}
</style>
</head>
<body>
<div class="container">
<h1>Image to Text Converter</h1>
<input type="file" id="imageInput" accept="image/*">
<button id="convertButton">Convert to Text</button>
<div id="output" hidden>
<h3>Extracted Text:</h3>
<p id="text"></p>
</div>
</div>
<script>
const imageInput = document.getElementById('imageInput');
const convertButton = document.getElementById('convertButton');
const outputDiv = document.getElementById('output');
const textOutput = document.getElementById('text');
convertButton.addEventListener('click', () => {
if (imageInput.files.length === 0) {
alert('Please upload an image.');
return;
}
const imageFile = imageInput.files[0];
const reader = new FileReader();
reader.onload = () => {
Tesseract.recognize(
reader.result, // Image data
'eng', // Language
{
logger: (info) => console.log(info) // Log progress
}
).then(({ data: { text } }) => {
textOutput.textContent = text.trim();
outputDiv.hidden = false;
}).catch((error) => {
console.error(error);
alert('Error processing the image.');
});
};
reader.readAsDataURL(imageFile);
});
</script>
</body>
</html>
Yes, what you are reading is correct. You can convert images into different format. But there is a catch. Your browser should support the output format. Read the article to know more.