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
Convert Images Using Canvas and Javascript
html - How to convert from image to text using Javascript - Stack Overflow
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
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.
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>