AI Voice Editing for Podcasts (Overdub)
Fixing audio errors by simply editing the text, maintaining the original voice and flow.
The Problem
Correcting errors or removing filler words (ums, ahs) in a recorded podcast without visible cuts or re-recording.
Expected Outcome
Fixing audio errors by simply editing the text, maintaining the original voice and flow.
Tool Chain
Implementation Steps
- 1
Transcription and Diarization
The podcast is transcribed to text with speaker labels and timestamps.
- 2
Voice Cloning
The host's voice is cloned using a segment of the recorded audio (Overdub feature).
Lyrebird (Descript) - 3
Text-Based Editing (Overdub)
The editor corrects mistakes by typing new text. The cloned voice seamlessly generates the corrected audio in the host's voice.
Lyrebird (Descript) - 4
Export Edited Audio
Export the final, seamlessly edited audio track.
Alternatives
Higher initial cloning cost, more focused on the core cloning API.
Cost Impact: +100%
Export Workflow
Coming SoonSoon you’ll export this stack to Zapier, n8n, or a starter repo with presets (env vars, webhooks, rate limits).