Reverse-engineers writing styles and voice profiles from text samples using multi-dimensional pattern analysis.
Voice Analyze is a specialized capability for Claude Code that extracts measurable writing patterns from existing content to create structured voice profiles. By evaluating dimensions such as formality, confidence, and warmth, it enables users to programmatically capture brand voices, technical documentation styles, or personal writing quirks. These profiles serve as a blueprint for maintaining stylistic consistency across AI-generated content, ensuring that new text matches the tone, vocabulary, and structural patterns of the original source material.
Key Features
01Seamless integration with voice-apply and voice-blend workflows
02Measurable linguistic metrics like sentence length and contraction density
03Structured YAML and JSON voice profile generation
04Automated signature phrase and domain-specific vocabulary extraction
05Multi-dimensional tone analysis including formality, confidence, and warmth
0667 GitHub stars
Use Cases
01Capturing personal writing quirks from blog posts to maintain a consistent authorial voice
02Reverse-engineering a brand's marketing voice from existing copy for consistent campaign creation
03Analyzing technical documentation to ensure new guides follow established stylistic standards
