README

Laravel package for fast and memory-efficient CSV and Excel conversions.

This package allows you to easily convert large CSV files to XLSX or JSON format, and vice versa — all while keeping low memory usage thanks to the excellent OpenSpout library.

🚀 Features

• Convert CSV → XLSX, XLSX → CSV, and CSV → JSON
• Stream-based processing for very large files
• Memory-safe even for multi-gigabyte CSVs
• Detects and handles headers automatically
• Fully compatible with Laravel (auto-discovery supported)
• Works on Linux, macOS, and Windows

🧩 Requirements

• PHP ≥ 8.1

• Laravel ≥ 9.x

• PHP extensions:

  • ext-zip
  • ext-xmlreader

⚙️ Installation

Install the package via Composer:

composer require noki/large-csv-converter

Laravel will automatically register the service provider and alias.

🧠 Basic Usage

Import the class:

use Noki\LargeCsvConverter\LargeCsvConverter;

🟢 Example 1: Convert CSV → XLSX (simple)

use Noki\LargeCsvConverter\LargeCsvConverter;

LargeCsvConverter::csvToXlsx(
    csv_file_path: '/var/www/html/large-csv/test.csv',
    excel_file_path: '/var/www/html/large-csv/test.xlsx',
);

This reads test.csv and creates test.xlsx in the specified directory. If the first row of the CSV is a header, it will be preserved automatically.

🧩 Advanced Usage (with optional parameters)

You can customize delimiters, encoding, and whether the first line is a header:

use Noki\LargeCsvConverter\LargeCsvConverter;

LargeCsvConverter::csvToXlsx(
    csv_file_path: '/var/www/html/large-csv/test.csv',
    excel_file_path: '/var/www/html/large-csv/test.xlsx',
    first_line_is_header: true,       // Default: true
    delimiter: ';',                   // Default: ','
    enclosure: '"',                   // Default: '"'
    encoding: 'UTF-8',                // Default: 'UTF-8'
);

🔄 XLSX → CSV

Convert Excel files back to CSV:

use Noki\LargeCsvConverter\LargeCsvConverter;

LargeCsvConverter::xlsxToCsv(
    csv_file_path: '/var/www/html/large-csv/output.csv',
    excel_file_path: '/var/www/html/large-csv/input.xlsx',
);

You can again customize options:

use Noki\LargeCsvConverter\LargeCsvConverter;

LargeCsvConverter::xlsxToCsv(
    csv_file_path: '/var/www/html/large-csv/output.csv',
    excel_file_path: '/var/www/html/large-csv/input.xlsx',
    first_line_is_header: true,   // Default: true
    delimiter: ',',               // Default: ','
    enclosure: '"'                // Default: '"'
);

📄 CSV → JSON

Convert large CSVs directly into JSON files:

use Noki\LargeCsvConverter\LargeCsvConverter;

LargeCsvConverter::csvToJson(
    csv_file_path: '/var/www/html/large-csv/test.csv',
    json_file_path: '/var/www/html/large-csv/test.json',
);

Advanced example:

use Noki\LargeCsvConverter\LargeCsvConverter;

LargeCsvConverter::csvToJson(
    csv_file_path: '/var/www/html/large-csv/test.csv',
    json_file_path: '/var/www/html/large-csv/test.json',
    first_line_is_header: true,     // If CSV has header row
    delimiter: ',',                 // Field separator
    enclosure: '"',                 // Text enclosure
    encoding: 'UTF-8'               // File encoding
);

🧰 CSV → Array

Read CSV into PHP array (with header detection and memory checks):

use Noki\LargeCsvConverter\LargeCsvConverter;

$array = LargeCsvConverter::csvToArray(
    csv_file_path: '/var/www/html/large-csv/test.csv'
);

Advanced usage:

use Noki\LargeCsvConverter\LargeCsvConverter;

$array = LargeCsvConverter::csvToArray(
    csv_file_path: '/var/www/html/large-csv/test.csv',
    first_line_is_header: true,     // Default: true
    delimiter: ',',                 // Default: ','
    enclosure: '"',                 // Default: '"'
    encoding: 'UTF-8'               // Default: 'UTF-8'
);

⚠️ Memory Safety

csvToArray() automatically estimates average memory per row and throws an exception if your PHP memory limit is about to be exceeded.

If you need to handle huge files, increase memory_limit in your php.ini, for example:

memory_limit = 512M

📦 Dependencies and Licenses

This package is licensed under the MIT License.

It uses the following open-source libraries:

• OpenSpout – MIT License
• Box/Spout – Apache License 2.0

🧑‍💻 Author

Novak Urošević GitHub: @novakurosevic

License

This package is licensed under the MIT License.

It uses the following open-source libraries:

• OpenSpout – MIT License
• Box/Spout – Apache License 2.0