Laravel cast array still returns a string

Stefan Bogdanescu

Founder & Senior Architect · 2026-06-29

Laravel Company

Laravel Casting Arrays: Why Your JSON Data Still Returns a String

As a senior developer working with the Laravel ecosystem, I frequently encounter situations where we store complex data—like arrays or objects—in our database, often serialized as JSON strings, and then struggle when retrieving them via Eloquent models. The specific scenario you described—where you cast a column to an array but still receive a string—is a very common point of confusion.

This post will dive deep into why this happens and provide the correct architectural solutions to ensure your data is consistently handled as an actual PHP array within your Laravel application.

Understanding the Root of the Issue: Storage vs. Interpretation

The problem usually isn't with Eloquent casting itself, but rather how the underlying database driver and Eloquent interact with the raw column type.

When you define a column using text or string in your migration, even if you manually populate it with valid JSON strings (e.g., '["item1", "item2"]'), the database stores it purely as a sequence of characters. When Eloquent retrieves this data, unless a specific type hint forces immediate deserialization, it treats the retrieved value as a simple string.

The key conflict is between:

  1. Database Storage: The raw storage format (a string).
  2. Eloquent Casting: Telling Eloquent that the resulting PHP variable should be an array.

If you rely solely on $casts = ['column' => 'array'], Laravel expects the database to deliver a structure it can directly map, which often fails when dealing with plain text fields holding JSON.

The Correct Solution: Leveraging Native JSON Types

The most robust and idiomatic solution in modern Laravel applications is to leverage native JSON data types provided by your specific database (PostgreSQL, MySQL 5.7+, SQLite). This allows the database engine itself to handle the serialization and deserialization efficiently.

Step 1: Update Your Migration

Instead of using text, use the appropriate JSON type for your database. For example, in MySQL or PostgreSQL, this is typically json.

// In your migration file
Schema::table('exchanges', function (Blueprint $table) {
    // Use the native JSON type instead of text
    $table->json('balance')->nullable(); 
});

Step 2: Configure Eloquent Casting

Once the column is correctly typed as json in the database, you can confidently apply the casting rule. Laravel is designed to handle this perfectly when using these native types.

// In your Model (e.g., Exchange.php)
protected $casts = [
    'balance' => 'array', // Eloquent now correctly casts the JSON string into a PHP array upon retrieval
];

Step 3: Data Persistence

When saving data, you must ensure you are passing native PHP arrays to Eloquent, and letting Laravel handle the serialization before writing it to the database.

// When saving data
$exchange = Exchange::findOrFail($id);

// Ensure $balance is a PHP array before saving
$exchange->balance = ['item1', 'item2']; // Store as an array in PHP

$exchange->save(); 
// Eloquent/Database driver handles converting the PHP array to a JSON string for storage.

Best Practice: Handling Complex Structures

If you are dealing with very complex nested data or need custom logic during retrieval, consider using Model Accessors and Mutators. This gives you explicit control over how the data is read and written, ensuring consistency regardless of database configuration. For deeper dives into Eloquent relationships and data handling, always refer to the official documentation at laravelcompany.com.

Conclusion

The confusion arises from treating a string stored in a text field as if it were intrinsically structured data ready for casting. By switching your database column type to the native json type and ensuring your saving logic deals with native PHP arrays, you allow Laravel's powerful Eloquent casting mechanism to work exactly as intended. This approach results in cleaner code, more reliable data integrity, and a much better developer experience when managing complex data structures.