transcript-fixer

What problem does it solve?

This Skill automates cleaning and correcting transcripts from meetings, lectures, and interviews. It reduces manual proofreading by applying dictionary-based rules, AI-powered corrections, and continuous learning to build a personalized Correction Dictionary that gets smarter over time.

Core Features & Use Cases

• Dictionary-driven corrections: Apply domain-specific fixes instantly to common transcription errors.
• AI-assisted corrections: Leverage a GLM-based engine to resolve ambiguous terms and improve quality at scale.
• Learning from corrections: Build a personal correction database that grows as you fix transcripts.
• Use Case: Process a batch of meeting notes, fix repeated ASR mistakes, and generate clean final transcripts with minimal manual review.

Quick Start

Initialize the system, add 5-10 common corrections for your domain, then run the full pipeline on a transcript file to generate stage1 (dictionary) and stage2 (AI) outputs, plus a diff report.