Recording and Editing with AI Audio Tools
Audio quality is the first thing listeners judge, often within 30 seconds of pressing play. Poor audio sends people straight to the unsubscribe button, no matter how good your content is. The good news: AI audio tools have made professional-quality recording and editing accessible to anyone with a decent microphone and a laptop. This lesson covers the complete recording-to-export workflow.
Watch: Video Walkthrough
Key Concepts
- Recording Setup: Microphone selection, room treatment, and recording software for consistent quality
- AI Noise Removal: Using Adobe Podcast, Descript, and Auphonic for automatic audio cleanup
- AI-Powered Editing: Text-based editing in Descript — edit audio by editing a transcript
- Mastering and Export: Loudness normalization (LUFS), format selection, and chapter markers
Hands-On Exercise
Task: Record a 5-minute podcast segment in your current environment (even if it is noisy). Run it through Adobe Podcast’s AI audio enhancer and Descript for text-based editing. Remove at least 3 filler words (“um,” “uh,” “like”) using Descript’s automatic filler word detection. Export the final audio at -16 LUFS (podcast standard) and compare it to the original recording.
Pro Tips
Record in WAV or FLAC (lossless), never directly to MP3. AI noise removal and audio processing work significantly better with uncompressed source audio. Only convert to MP3 or AAC at the very last step, during export. The quality difference is audible, especially after AI processing.