OCR recognition technology guide in PHP

With the advent of the digital age, many companies and individuals need to digitize paper documents. OCR (Optical Character Recognition, optical character recognition) recognition technology is one of the effective methods to solve this problem. PHP, as a popular server-side language, also provides some libraries and tools for OCR recognition. This article will introduce multiple OCR recognition technologies in PHP in order to choose the most suitable solution.

1. tesseract-ocr

tesseract-ocr is a popular open source OCR engine library written in C. PHP provides integration with tesseract-ocr. Images in PDF, JPEG, GIF, PNG and other formats can be recognized through php-ext-tesseract. The biggest feature of tesseract-ocr is that it is designed for multi-language and can recognize text in most languages ​​​​in the world.

Usage:

<?php
    require_once __DIR__.'/vendor/autoload.php';
    use thiagoalessioTesseractOCRTesseractOCR;

    $result = (new TesseractOCR('example.png'))
                    ->run();
    echo $result;
?>

2. OCRopus

OCRopus is a set of OCR tools and libraries and a popular OCR engine, which is based on Python. OCRopus can use PHP binding operations. It not only supports text recognition, but also performs comprehensive OCR processing tasks such as document classification, segmentation and typesetting.

Usage:

<?php
    $image = new Imagick();
    $image->readImage('example.png');
    $image->setImageFormat('tif');
    $image->thresholdImage(127); //图像二值化
    $data = $image->getImagesBlob();
    $ocr = new     esseractOCR($data);
    echo $ocr->run();
?>

3. Google Cloud Vision OCR

Google Cloud Vision API is a set of machine vision tools that integrates OCR services. This API provides computer vision capabilities and image recognition. Google Cloud Vision OCR can help us identify text and characters in images. It should be noted that using this service requires registering a Google account and obtaining an API key, and the number of uses will be charged.

Usage:

<?php
    require_once __DIR__ . '/vendor/autoload.php';
    use GoogleCloudVisionV1ImageAnnotatorClient;

    $imageAnnotator = new ImageAnnotatorClient();

    try {
        # 图像文件的本地路径或者 URL 地址，即待识别的图像文件路径
        $image = file_get_contents('https://example.com/image.jpg');
        # 构建图像标注请求
        $response = $imageAnnotator->documentTextDetection($image);
        # 输出结果
        foreach ($response->getTextAnnotations() as $text) {
            printf('%s' . PHP_EOL, $text->getDescription());
        }
    } catch (Exception $exception) {
        echo $exception->getMessage();
    }
?>

The above are three popular OCR technologies in PHP. Of course, we can also use other libraries or APIs for OCR image recognition. Each of these technologies has its advantages and disadvantages and needs to be chosen based on specific needs. No matter which method you choose, they can help us digitize paper documents quickly and accurately, improve work efficiency, reduce costs, and bring real value to businesses and individuals.

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