How to use PHP for OCR recognition and text recognition?

With the continuous development of the digital era, a large number of paper documents need to be digitized to facilitate storage and retrieval. In order to effectively convert data, many companies and individuals choose OCR technology (Optical Character Recognition, optical character recognition), which can convert text in scanned paper documents into digital format.

PHP, as a commonly used programming language, can also be used for OCR recognition and text recognition. In this article, I will introduce how to use PHP for OCR recognition and text recognition.

1. PHP OCR recognition

To perform OCR recognition in PHP, we can use some OCR recognition libraries to achieve it. Currently the more commonly used ones include: Tesseract OCR, OCRopus, etc.

Tesseract OCR is one of the most famous free OCR (Optical Character Recognition, optical character recognition) engines. It was developed by HP Labs and is now maintained by Google. Tesseract is available for multiple platforms (such as Windows, Mac OS and Linux) and multiple programming languages ​​(such as C, Python and Java).

The following is a simple PHP example of using Tesseract OCR to recognize images:

1. Install Tesseract OCR engine and PHP Tesseract OCR package

//Install Tesseract OCR Engine and PHP Tesseract OCR package
apt-get install tesseract-ocr
composer require thiagoalessio/tesseract_ocr

2. Load image

//Load image
$image = new Imagick('path/to/image');

3. Recognize text in image

//Recognize text in image
$ tesseract = new TesseractOCR();
$tesseract->image($image);
$text = $tesseract->run();

echo $text;// Output recognition Text

2. PHP text recognition

To perform text recognition in PHP, we can use some text recognition libraries to achieve it. Currently the more commonly used ones include: IDA S.E. OCR, Nanonets OCR, etc.

Since different packages have different installation methods and usage methods, taking Nanonets OCR as an example, the following is a simple PHP example of using Nanonets OCR to identify text in images:

1. Register Account, get API Key and Model ID

// Register account, get API Key and Model ID
https://app.nanonets.com/user/register

2. Install PHP SDK

//Install PHP SDK
composer require nanonets/nanonets-ocr-php

3. Get recognition results from Nanonets OCR

// Get recognition results from Nanonets OCR
require_once(__DIR__ . '/vendor/autoload.php');

$api_key = 'YOUR API KEY';
$model_id = 'YOUR MODEL ID';

$nocr = new NanonetsOCRNanonetsOCR($api_key, $model_id);
$result = $nocr->upload('path/ to/image');
echo $result;

4. Analysis results

//Analysis results
$json = json_decode($result, true);

$text = '';
foreach ($json['result'][0]['prediction'] as $line) {

$text .= $line['ocr_text'] . "

";
}

echo $text;

Summary

Through the above two examples, we can see that using PHP for OCR recognition and text recognition is Very simple. Just install the corresponding library (such as Tesseract OCREngine, OCRopus, Nanonets OCR, etc.), load the image or upload the image, and then parse the result. OCR technology and text recognition technology can help us digitize a large number of paper documents , improve management efficiency. But it should be noted that in practical applications, we need to choose an OCR library suitable for our project and implement it according to actual needs.

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