CoderTools

Text Tools

Text comparison, case conversion, and text processing tools

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Text Processing & Utilities

Text processing and manipulation are core operations in software development, content management, and data analysis. This category covers essential text tools including case conversion (camelCase, snake_case, kebab-case, PascalCase), character escaping for different contexts (HTML, JavaScript, SQL), text diffing for code review and comparison, character encoding conversion, and text statistics. These tools are critical for code generation, API integration, content preparation, and text analysis. Understanding naming conventions across programming languages, escaping rules for different contexts, diff algorithms, and character encoding standards ensures reliable text processing and prevents security vulnerabilities. This guide covers text standards, escaping best practices, and common troubleshooting scenarios.

🔧 Key Text Tools

Text Case Converter

Convert text between different naming conventions: camelCase, snake_case, kebab-case, PascalCase, SCREAMING_SNAKE_CASE. Essential for code generation and style guide compliance.

Character Escape Tool

Escape and unescape text for different contexts: HTML, XML, JavaScript, JSON, SQL, CSV. Prevents XSS attacks and syntax errors.

Diff Checker

Compare two text blocks visually, highlighting additions, deletions, and changes. Useful for code review, version control, and content verification.

Text Tool Comparison

Tool Type Features & Use Cases
Case Converters camelCase: first word lowercase (iPhone). PascalCase: first word uppercase (iPhone). snake_case: lowercase with underscores (python standard). SCREAMING_SNAKE_CASE: constants. kebab-case: CSS class names.
Character Escaping HTML: < → &lt;, & → &amp;. JavaScript: ' → \', " → \". SQL: ' → '' (two quotes). CSV: " → "" (two quotes). Context-specific rules prevent injection.
Diff Algorithms Line-by-line: shows changed lines. Character-by-character: shows exact character changes. Unified diff: standard format for patches. Essential for code review.
Text Statistics Character count: includes/excludes spaces. Word count: useful for SEO and content management. Readability: Flesch-Kincaid, Gunning Fog indices. Sentiment analysis: positive/negative tone.
Regular Expression Tools Pattern matching: find/replace operations. Validation: email, phone, URL formats. Extraction: pull data from text using capture groups.
String Utilities Trim: remove leading/trailing whitespace. Reverse: flip string order. Remove duplicates: keep unique characters or lines. Shuffle: randomize string order.

Text Processing Best Practices

Follow Language-Specific Naming Conventions

JavaScript/Java: camelCase for variables. Python: snake_case for variables. C#: PascalCase for properties. Constants: SCREAMING_SNAKE_CASE. Consistency prevents confusion and improves code readability.

Escape Context-Specifically

HTML escape for web display, JavaScript escape for JS strings, SQL escape for queries, URL escape for parameters. Never trust user input, always escape. Use framework functions, not manual escaping.

Validate Before Processing

Check character encoding before conversion. Validate text format before parsing. Use schema validation for structured text (XML, JSON).

Handle Special Characters Properly

Test with Unicode, emoji, RTL languages. Normalize text (NFC, NFD) for consistent comparison. Be aware of combining characters and zero-width spaces.

Use Diffs for Quality Control

Always diff before committing code changes. Review exact character-level changes for critical code. Use semantic diffs for code review efficiency.

Optimize Text Operations for Performance

For large texts (>1MB), use streaming operations. Avoid creating intermediate strings. Use StringBuilder/StringBuffer for concatenation. Cache regex patterns.

Text Processing Troubleshooting

Why are my escaped quotes showing as literal backslashes?
Check if escaping is applied twice. JavaScript: \' in string should be just '. In JSON: escaped as \\\". Know which layer needs escaping (language vs. runtime).
How do I handle text with mixed character encodings?
Why won't my case conversion work with non-ASCII characters?
How do I optimize diff for very large files?