A podcast tool stack breaks down into four layers: recording, noise reduction, transcription, and voice-over and distribution. Start by getting clean vocal recordings, then use AI for captions, summaries, chapters, and short-form clips, and finish by normalizing loudness.
Start with a phone and a lavalier mic, and pick a small room with soft surfaces. Record dual tracks and keep the original files. Don't over-apply noise reduction, or the audio will sound muffled. Export WAV for easier editing.
Use AI transcription to create captions, then manually correct names and terminology. Cutting filler words and pauses from the transcript is faster than editing waveforms. Auto-generated chapters and summaries can serve as show notes, but double-check them.
AI voice-over works well for ads, intros, and multilingual versions, but keep the main show human whenever possible. Normalize loudness to around -16 LUFS and export MP3. Distribute to major platforms with consistent titles and cover art.
Unauthorized voice cloning of a real person carries legal risk. For commercial work, use licensed voices or clearly disclose AI generation, and avoid imitating celebrities.
Start with a microphone, then use free recording and editing software. Pay-as-you-go transcription is fine at first. Once you're publishing consistently, consider tools for batch clipping.
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