From Manual to Automated

The history of validation (校验) begins with manual checks. In early computing, programmers relied on visual inspection of punch cards and simple inputs, prone to errors. In the 1960s, languages like COBOL introduced data type and format checks, marking the rudiments of automated validation.

The Rise of Format and ID Validation

With the growth of the internet, form validation became essential. Regular expressions emerged as the primary tool for validating emails and phone numbers, still a fundamental skill today. ID numbers (like national IDs, credit cards) use algorithms like Luhn or governmental standards to ensure authenticity. These methods remain the bedrock of many systems.

The Era of Structured Data Validation

In the age of big data and APIs, formats like JSON and XML proliferated, shifting validation focus to structured data. Standards like JSON Schema and XSD emerged to ensure data integrity. Our site's JSON Formatter and JSON Validator are designed exactly for this, helping you quickly check format and structure.

The Extension of Modern Validation

Today, validation extends beyond technology into content and design. For instance, Title Length and Description Length tools ensure metadata compliance, SEO Checklist and Heading Checker audit page structure, and Contrast Checker verifies accessibility. From code to content, validation is omnipresent, safeguarding quality and user experience.