2D Animation Development Company
Animation is becoming a crucial tool for branding, marketing, education, and other fields in today's digital age. Blazingcoders is a top 2D animation development company in India that specializes
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How to read or detect text from image using Google Vision API
In this blog post, i will be able to allow you to skills to read content of images with Google Vision API.
Google Vision API can easily detect and extract text from a picture . There are two annotation features (TEXT_DETECTION, DOCUMENT_TEXT_DETECTION) that perform Optical Character Recognition and return the extracted text, if any.
In order to use Google Vision API, you'll need to create new project or select an existing project and enable the Vision API.
Below are the example to read the text from image using HTML, Css and PHP
<!DOCTYPE html>
<html>
<head>
<title>How to read or detect text from image using Google Vision API </title>
</head>
<body>
<form enctype="multipart/form-data" action="" method="POST">
Choose an image to upload: <input name="image" type="file" /><br />
<input type="submit" value="Upload Document" />
</form>
<?php
$url = "https://vision.googleapis.com/v1/images:annotate?key={api_key}";
$detection_type = "TEXT_DETECTION";
$image_validation = array('image/jpeg','image/png','image/gif');
if($_FILES){
// validate uploaded file for allowed mime type
if(in_array($_FILES['image']['type'],$image_validation)){
// base64 encode image
$image = file_get_contents($_FILES['image']['tmp_name']);
$image_base64 = base64_encode($image);
$json_request ='{
"requests": [
{
"image": {
"content":"' . $image_base64. '"
},
"features": [
{
"type": "' .$detection_type. '",
"maxResults": 200
}
]
}
]
}';
$curl = curl_init();
curl_setopt($curl, CURLOPT_URL, $url);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
curl_setopt($curl, CURLOPT_HTTPHEADER, array("Content-type: application/json"));
curl_setopt($curl, CURLOPT_POST, true);
curl_setopt($curl, CURLOPT_POSTFIELDS, $json_request);
$json_response = curl_exec($curl);
$status = curl_getinfo($curl, CURLINFO_HTTP_CODE);
curl_close($curl);
// verify if we got a correct response
if ( $status != 200 ) {
die("Something when wrong. Status code: $status" );
}
// create an image identifier for the uploaded file
switch($_FILES['image']['type']){
case 'image/jpeg':
$im = imagecreatefromjpeg($_FILES['image']['tmp_name']);
break;
case 'image/png':
$im = imagecreatefrompng($_FILES['image']['tmp_name']);
break;
case 'image/gif':
$im = imagecreatefromgif($_FILES['image']['tmp_name']);
break;
}
// transform the json response to an associative array
$response = json_decode($json_response, true);
// display the first text annotation
echo'<pre>';
print_r($response['responses'][0]['textAnnotations'][0]['description']);
echo'</pre>';
}
else{
echo 'File type Invalied';
}
}
?>
</body>
</html>
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