Transcript Fixer

Correct speech-to-text transcription errors through dictionary-based rules, AI-powered corrections, and automatic pattern detection. Build a personalized knowledge base that learns from each correction.

When to Use This Skill

• Correcting ASR/STT errors in meeting notes, lectures, or interviews
• Building domain-specific correction dictionaries
• Fixing Chinese/English homophone errors or technical terminology
• Collaborating on shared correction knowledge bases

Prerequisites

Python execution must use uv - never use system Python directly.

If uv is not installed:

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh