Laravel Validator

A server-side Laravel data validator that checks inputs against defined rules to ensure data integrity, accuracy, and consistent error handling for APIs and forms.

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About This Tool

The tool validates input data against Laravel-style rules in back-end systems. It derives a passes flag and an errors map, enabling reliable API responses and data integrity checks.
Conceptually, data and rule sets are fed to a validator engine that traverses nested structures, applies rule logic, and aggregates failures per field. It mirrors Laravel's rule syntax and behavior, including conditional rules and array handling, while exposing a clean, structured result for downstream services.
Benefits include improved data quality, reduced debugging time, and consistent error messaging across APIs and services. Core features cover rule parsing, nested key support, wildcard validation for arrays, custom messages, and batch processing readiness. Typical use cases include form submission validation, API payload checks, and pre-persistence verification in microservices.

How to Use

  1. Provide inputs: supply the data object and rules set in the specified formats.
  2. Provide optional messages or custom attribute names.
  3. Run validation to produce passes and errors.
  4. Inspect outputs: if passes is true, data is valid; if false, review errors.
  5. Integrate results into API responses or logging.
How to use validator laravel

Frequently Asked Questions

Find Quick Answers

What data formats are supported?
The validator accepts data as associative arrays or JSON objects, including nested structures. Keys use dot notation (e.g., user.name) and wildcards (e.g., items.*.price) to target arrays; the tool returns a passes flag and a structured errors map.
Can I use custom error messages?
Yes. A messages map can override default rule messages, and custom_attributes can provide friendly field names. The result includes the field-specific messages when validation fails, suitable for client-side display or logs.
How are nested attributes validated?
Nested attributes leverage dot notation and wildcard keys to apply rules to subfields. The validator recursively traverses the data, applying each rule; failures are reported per path, preserving the original data structure in the errors map.
What happens if a rule is invalid?
If a rule is syntactically invalid or unknown, the validator flags the input as invalid and includes an error entry describing the invalid rule. Valid rules are still evaluated where applicable.

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