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Informations about the package fast-excel
Fast Excel import/export for Laravel, thanks to Spout. See benchmarks below.
Quick start
Install via composer:
Export a Model to .xlsx file:
Export
Export a Model, Query or Collection:
Export xlsx, ods and csv:
Export only some attributes specifying columns names:
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:
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):
Import
import returns a Collection:
Import a csv with specific delimiter, enclosure characters and "gbk" encoding:
Import and insert to database:
Limit the number of data rows imported with limitRows (headers excluded). It works with both import and importLazy:
Facades
You may use FastExcel with the optional Facade. Add the following line to config/app.php under the aliases key.
``
Using the Facade, you will not have access to the constructor. You may set your export data using the data method.
``
Global helper
FastExcel provides a convenient global helper to quickly instantiate the FastExcel class anywhere in a Laravel application.
Advanced usage
Export multiple sheets
Export multiple sheets by creating a SheetCollection:
Use index to specify sheet name:
Import multiple sheets
Import multiple sheets by using importSheets:
You can also import a specific sheet by its number:
Import multiple sheets with sheets names:
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:
For any other source, hand export() a generator using yield:
Exporting 1,000,000 rows (4 columns) under a 512 MB memory_limit:
| How you export | Peak memory | Result |
|---|---|---|
export() from a materialized collection |
> 512 MB | fails once it exceeds memory_limit |
export() from a cursor / generator (streaming) |
~4 MB | always completes |
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:
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
nullwhen you only need the side effect (e.g. inserting rows).
Importing a 730,000-row file (8 columns), measured under a constrained
memory_limit:
| How you import | Peak memory | Result |
|---|---|---|
import($file) (returns a Collection) |
~440 MB | fails once it exceeds memory_limit |
import($file, fn ($row) => null) (streaming) |
~4 MB | always completes |
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:
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.
You can also style each header column individually with setHeaderColumnStyles
(the header-row counterpart of setColumnStyles). Keys are the zero-based
column positions:
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:
Need finer control? setColumnFormat() overrides the type per column and takes
precedence over stringValues():
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.
| Peak memory | Execution time | |
|---|---|---|
| Laravel Excel 3.1 | 218 MB | 2.53 s |
| FastExcel — collection | 42 MB | 0.90 s |
| FastExcel — generator | 4 MB | 0.93 s |
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.
All versions of fast-excel with dependencies
illuminate/support Version ^6.0 || ^7.0 || ^8.0 || ^9.0 || ^10.0 || ^11.0 || ^12.0 || ^13.0
openspout/openspout Version ^4.24