README

Detect encoding

Text encoding definition class based on a range of code page character numbers.

So far, in PHP v7.* the mb_detect_encoding function does not work well. Therefore, you have to somehow solve this problem. This class is one solution.

Built-in encodings and accuracy:

Worst accuracy with MacCyrillic, you need at least 60 characters to determine this encoding with an accuracy of 92.15%. Windows-1251 encoding also has very poor accuracy. This is because the numbers of their characters in the tables overlap very much.

Fortunately, MacCyrillic and ibm866 encodings are not used to encode web pages. By default, they are disabled in the script, but you can enable them if necessary.

The accuracy of the determination is high even in short sentences from 5 to 10 letters. And for phrases from 60 letters, the accuracy of determination reaches 100%.

Determining the encoding is very fast, for example, text longer than 1,300,000 Cyrillic characters is checked in 0.00096 sec. (on my computer)

Link to the idea: http://patttern.blogspot.com/2012/07/php-python.html

Installation

Composer (recommended) Use Composer to install this library from Packagist: onnov/captcha

Run the following command from your project directory to add the dependency:

composer require onnov/detect-encoding

Alternatively, add the dependency directly to your composer.json file:

{
    "require": {
        "onnov/detect-encoding": "^1.0"
    }
}

The classes in the project are structured according to the PSR-4 standard, so you can also use your own autoloader or require the needed files directly in your code.

Usage

use Onnov\DetectEncoding\EncodingDetector;
        
$detector = new EncodingDetector();

• Definition of text encoding:

use Onnov\DetectEncoding\EncodingDetector;
        
$detector = new EncodingDetector();

$text = 'Проверяемый текст';
$detector->getEncoding($text);

• Method for converting text of an unknown encoding into a given encoding, by default in utf-8 optional parameters:

use Onnov\DetectEncoding\EncodingDetector;
        
$detector = new EncodingDetector();

/**
 * Method for converting text of an unknown encoding into a given encoding, by default in utf-8
 * optional parameters:
 * $extra = '//TRANSLIT' (default setting) , other options: '' or '//IGNORE'
 * $encoding = 'utf-8' (default setting) , other options: any encoding that is available iconv
 *
 * @param string $text
 * @param string $extra
 * @param string $encoding
 *
 * @return string
 * @throws RuntimeException
 */

$detector->iconvXtoEncoding($text);

• Method to enable encoding definition:

use Onnov\DetectEncoding\EncodingDetector;
        
$detector = new EncodingDetector();

$detector->enableEncoding([
    EncodingDetector::IBM866,
    EncodingDetector::MAC_CYRILLIC,
]);

• Method to disable encoding definition:

use Onnov\DetectEncoding\EncodingDetector;
        
$detector = new EncodingDetector();

$detector->disableEncoding([
    EncodingDetector::ISO_8859_5,
]);

• Method for adding custom encoding:

use Onnov\DetectEncoding\EncodingDetector;
        
$detector = new EncodingDetector();

$detector->addEncoding([
    'encodingName' => [
        'upper' => '1-50,200-250,253', // uppercase character number range
        'lower' => '55-100,120-180,199', // lowercase character number range
    ],
]);

• Method to get a custom encoding range:

use Onnov\DetectEncoding\CodePage;
    
// utf-8 encoded alphabet
$cyrillicUppercase = 'АБВГДЕЁЖЗИЙКЛМНОПРСТУФЧЦЧШЩЪЫЬЭЮЯ';
$cyrillicLowercase = 'абвгдеёжзийклмнопрстуфхцчшщъыьэюя';
    
$codePage = new CodePage();
$encodingRange = $codePage->getRange($cyrillicUppercase, $cyrillicLowercase, 'koi8-u');

Tests and examples for the project

Symfony use

Add in services.yaml file:

services:
    Onnov\DetectEncoding\EncodingDetector:
        autowire: true