rap2hpoutre/fast-excel

Fast Excel import/export for Laravel, thanks to Spout. See benchmarks below.

Quick start

Install via composer:

composer require rap2hpoutre/fast-excel

Export a Model to .xlsx file:

use Rap2hpoutre\FastExcel\FastExcel;
use App\User;

// Load users
$users = User::all();

// Export all users
(new FastExcel($users))->export('file.xlsx');

Export

Export a Model, Query or Collection:

$list = collect([
    [ 'id' => 1, 'name' => 'Jane' ],
    [ 'id' => 2, 'name' => 'John' ],
]);

// export() returns the absolute path to the written file
$path = (new FastExcel($list))->export('file.xlsx');

Export xlsx, ods and csv:

$invoices = App\Invoice::orderBy('created_at', 'DESC')->get();
(new FastExcel($invoices))->export('invoices.csv');

Export only some attributes specifying columns names:

(new FastExcel(User::all()))->export('users.csv', function ($user) {
    return [
        'Email' => $user->email,
        'First Name' => $user->firstname,
        'Last Name' => strtoupper($user->lastname),
    ];
});

Hide columns from the exported file while still being able to use them inside the callback, using hideColumnsPrefixedWith(). This is handy for callback-only data (lookups, computed flags, etc.) that should not appear as a column:

(new FastExcel(User::all()))->hideColumnsPrefixedWith()->export('users.csv', function ($user) {
    return [
        'Name'  => $user->name,
        '_role' => $user->role, // used for logic below, never written to the file
    ];
});

Columns are hidden from both the header row and every data row. The prefix defaults to _, and any other one can be used — hideColumnsPrefixedWith('tmp_'). Hiding is opt-in: unless you call this method, every column is exported, so columns that already start with an underscore keep working as before.

Download (from a controller method):

return (new FastExcel(User::all()))->download('file.xlsx');

Import

import returns a Collection:

$collection = (new FastExcel)->import('file.xlsx');

Import a csv with specific delimiter, enclosure characters and "gbk" encoding:

$collection = (new FastExcel)->configureCsv(';', '#', 'gbk')->import('file.csv');

Import and insert to database:

$users = (new FastExcel)->import('file.xlsx', function ($line) {
    return User::create([
        'name' => $line['Name'],
        'email' => $line['Email']
    ]);
});

Limit the number of data rows imported with limitRows (headers excluded). It works with both import and importLazy:

$collection = (new FastExcel)->limitRows(100)->import('file.xlsx');

Facades

You may use FastExcel with the optional Facade. Add the following line to config/app.php under the aliases key.

'FastExcel' => Rap2hpoutre\FastExcel\Facades\FastExcel::class,

Using the Facade, you will not have access to the constructor. You may set your export data using the data method.

$list = collect([
    [ 'id' => 1, 'name' => 'Jane' ],
    [ 'id' => 2, 'name' => 'John' ],
]);

FastExcel::data($list)->export('file.xlsx');

Global helper

FastExcel provides a convenient global helper to quickly instantiate the FastExcel class anywhere in a Laravel application.

$collection = fastexcel()->import('file.xlsx');
fastexcel($collection)->export('file.xlsx');

Advanced usage

Export multiple sheets

Export multiple sheets by creating a SheetCollection:

$sheets = new SheetCollection([
    User::all(),
    Project::all()
]);
(new FastExcel($sheets))->export('file.xlsx');

Use index to specify sheet name:

$sheets = new SheetCollection([
    'Users' => User::all(),
    'Second sheet' => Project::all()
]);

Import multiple sheets

Import multiple sheets by using importSheets:

$sheets = (new FastExcel)->importSheets('file.xlsx');

You can also import a specific sheet by its number:

$users = (new FastExcel)->sheet(3)->import('file.xlsx');

Import multiple sheets with sheets names:

$sheets = (new FastExcel)->withSheetsNames()->importSheets('file.xlsx');

Export large collections (low memory)

Passing a materialized collection (User::all(), ->get(), collect([...])) loads every row into memory before the export starts, so it grows with the size of the data and a large enough dataset fails outright with Allowed memory size of N bytes exhausted. Feed a lazy source instead and peak memory stays flat, whatever the row count.

Eloquent's cursor() (or ->lazy()) returns a LazyCollection, which FastExcel streams row by row — no wrapper needed:

// Export consumes only a few MB, even with 10M+ rows.
(new FastExcel(User::cursor()))->export('users.xlsx');

For any other source, hand export() a generator using yield:

function rowsGenerator() {
    foreach (some_paginated_source() as $row) {
        yield $row;
    }
}

(new FastExcel(rowsGenerator()))->export('test.xlsx');

Exporting 1,000,000 rows (4 columns) under a 512 MB memory_limit:

Streaming does not change export speed (that is dominated by the underlying OpenSpout writer) — it is what keeps memory flat so very large files finish at all. transpose() cannot stream, as it must buffer the whole dataset to pivot rows and columns.

Import large files (low memory)

import returns a Collection containing every row, so memory grows with the size of the file. On a file larger than your PHP memory_limit, the default import() fails outright with Allowed memory size of N bytes exhausted. To import a large file without running out of memory, pass a callback and return null — each row is then processed but not accumulated, so memory stays flat:

// Memory stays flat regardless of the number of rows.
(new FastExcel)->import('file.xlsx', function ($line) {
    User::create([
        'name'  => $line['Name'],
        'email' => $line['Email'],
    ]);

    return null; // don't keep the row in memory
});

If the callback returns a value (for example the created model), that value is collected and returned to you — handy for small files, but it keeps every row in memory. Return null when you only need the side effect (e.g. inserting rows).

Importing a 730,000-row file (8 columns), measured under a constrained memory_limit:

Reading speed is the same either way — it is dominated by the underlying OpenSpout parser, not by how the rows are returned. The difference above is memory, which is what lets very large files finish at all.

If you would rather keep working with the rows than process them inside a callback, importLazy returns a LazyCollection that streams rows one at a time — you get the full Collection API while memory stays flat:

use Illuminate\Support\LazyCollection;

(new FastExcel)->importLazy('file.xlsx')
    ->chunk(1000)
    ->each(function (LazyCollection $chunk) {
        User::insert($chunk->all());
    });

importLazy accepts the same optional callback as import, and honors sheet(), withoutHeaders(), and header de-duplication. Transposing (transpose()) is not supported with lazy import.

Add header and rows style

Add header and rows style with headerStyle and rowsStyle methods.

use OpenSpout\Common\Entity\Style\Style;

$header_style = (new Style())->setFontBold();

$rows_style = (new Style())
    ->setFontSize(15)
    ->setShouldWrapText()
    ->setBackgroundColor("EDEDED");

return (new FastExcel($list))
    ->headerStyle($header_style)
    ->rowsStyle($rows_style)
    ->download('file.xlsx');

You can also style each header column individually with setHeaderColumnStyles (the header-row counterpart of setColumnStyles). Keys are the zero-based column positions:

use OpenSpout\Common\Entity\Style\Color;
use OpenSpout\Common\Entity\Style\Style;

return (new FastExcel($list))
    ->setHeaderColumnStyles([
        0 => (new Style())->setBackgroundColor(Color::YELLOW),
        1 => (new Style())->setFontColor(Color::BLUE),
    ])
    ->download('file.xlsx');

Export values as strings or numbers

By default numbers are written as numbers and strings as strings. Use stringValues() to force every value to a text cell — handy to keep leading zeros or long numeric IDs (e.g. phone numbers) intact:

// 0660123456 stays "0660123456" instead of becoming 660123456
(new FastExcel($users))->stringValues()->export('users.xlsx');

Need finer control? setColumnFormat() overrides the type per column and takes precedence over stringValues():

(new FastExcel($users))
    ->stringValues()                                  // text by default
    ->setColumnFormat([
        'id'    => 'number',                          // keep as number
        'phone' => 'string',                          // keep as text
    ])
    ->export('users.xlsx');

Why?

FastExcel is intended at being Laravel-flavoured Spout: a simple, but elegant wrapper around Spout with the goal of simplifying imports and exports. It could be considered as a faster (and memory friendly) alternative to Laravel Excel, with less features. Use it only for simple tasks.

Benchmarks

XLSX export of 10,000 rows × 20 columns of random data, average of 10 runs (PHP 8.4, July 2026). Don't trust benchmarks.

FastExcel streams rows through OpenSpout instead of building the whole spreadsheet in memory. Feed it a generator (or importLazy() on the read side) and peak memory stays flat no matter how many rows you export — here about 55× less than Laravel Excel. Reproduce with bench/readme-export-bench.php.

Still, remember that Laravel Excel has many more features.