How to Use AI for Podcast Production and Editing

The Podcast Production Pipeline and Where AI Fits

Producing a podcast episode involves several stages: planning and research, recording, editing, transcription, show note creation, and distribution. Each stage has time-consuming tasks that AI can accelerate or automate. The cumulative effect is significant. A podcast episode that takes six to eight hours to produce manually can typically be completed in two to three hours with AI assistance, without sacrificing quality.

The key is using the right AI tool at each stage of the pipeline. No single tool handles everything, but the combination of a few well-chosen tools covers the entire production process. Here is a stage-by-stage guide to the most effective AI tools for podcast production.

Pre-Production: Research and Planning

ChatGPT and Claude are the most useful AI tools for pre-production. Use them to research episode topics, generate interview questions, create episode outlines, and draft scripts. For interview podcasts, paste information about your guest (their bio, recent work, and areas of expertise) into ChatGPT and ask it to generate 15-20 interview questions that progress from general to specific. Review the questions, remove any that seem generic, and add your own based on your knowledge of the guest.

For scripted podcasts, AI tools can help with research and outlining. Ask ChatGPT to summarize key points about your topic, identify interesting angles or controversies, and suggest a narrative structure. Use these outputs as a foundation for your script, but write the actual script yourself to maintain your voice and authenticity.

Perplexity AI is particularly useful for research because it provides sourced answers. When you ask a factual question, Perplexity searches the web and provides an answer with footnotes linking to the original sources. This is faster and more reliable than using a search engine and manually evaluating results. For podcasters who cover current events or need accurate statistics, Perplexity saves significant research time.

Recording: AI-Powered Audio Quality

Good audio quality is essential for podcast success, and AI tools have made it possible to achieve professional sound without a professional studio. Cleanvoice is an AI tool that removes filler words, long pauses, mouth sounds, and stutters from your recording. You upload your audio file, and Cleanvoice processes it in minutes, producing a clean version that sounds more polished. It handles English, German, and French, and can detect filler words in multiple languages. Pricing starts at $16 per month for 5 hours of processed audio.

Adobe Podcast Enhance is a free tool that dramatically improves audio quality with one click. It removes background noise, adjusts levels, and applies EQ and compression to make your voice sound clear and professional. The tool works best with speech and can make a recording made in a noisy room sound like it was recorded in a treated studio. Adobe Podcast Enhance is free to use with an Adobe account and processes audio files up to 1 hour long.

Editing: AI-Powered Audio and Video Editing

Descript is the most transformative AI tool for podcast editing. As covered in our video editing article, Descript converts your audio into text and lets you edit the audio by editing the text. Delete a word in the transcript and it is removed from the audio. This approach is far more intuitive than traditional waveform editing, especially for podcasters who are not audio engineers.

Descript's Studio Sound feature uses AI to enhance vocal quality, making voices sound clearer and more professional. It also includes a filler word removal tool, automatic transcription, and the ability to add music and sound effects from a built-in library. For podcasters who also publish video versions of their episodes, Descript handles both audio and video editing in the same interface.

Riverside.fm is a recording platform that records each participant's audio and video locally, ensuring high quality regardless of internet connection stability. Its AI features include automatic transcription, live producer mode, and AI-generated highlights that identify the most engaging moments in your recording. Riverside's transcription is highly accurate and available in over 100 languages. Plans start at $15 per month for 2 hours of recording per month.

Post-Production: Transcription and Show Notes

Whisper by OpenAI is the most accurate AI transcription tool available. It is open-source and free to use, though it requires some technical setup to run locally. For a simpler option, Otter.ai provides automatic transcription with speaker identification, timestamps, and a searchable transcript. Otter's Pro plan at $10 per month includes 1,200 minutes of transcription per month.

For show notes, use ChatGPT or Claude to generate a summary of the episode, list key topics discussed, create timestamps, and write a compelling episode description. Paste the transcript into the AI and ask it to "create show notes for a podcast episode, including a 3-sentence summary, 5-8 key topics with timestamps, and 3-5 pull quotes." This produces a solid first draft that you can edit in minutes rather than the 30-45 minutes it would take to write show notes from scratch.

Distribution and Repurposing

Opus Clip converts long podcast episodes into short video clips optimized for social media. It identifies the most engaging moments, adds captions, and adjusts the format for vertical video. This turns each podcast episode into 5-10 social media posts, significantly increasing your content output without additional recording time.

Castmagic is an all-in-one post-production tool for podcasters. Upload your audio and Castmagic generates a transcript, show notes, social media posts, newsletter content, blog posts, and LinkedIn articles. It also creates titles, descriptions, and tags optimized for podcast directories. Castmagic essentially automates the entire content repurposing workflow. Pricing starts at $23 per month for 2 hours of uploaded audio per month.

Setting Up Your AI-Powered Podcast Workflow

A practical weekly workflow looks like this: Monday, use AI to research and outline the episode. Tuesday, record with Riverside.fm. Wednesday, process the audio through Cleanvoice and Adobe Podcast Enhance. Thursday, edit in Descript and generate show notes with ChatGPT. Friday, publish the episode and use Opus Clip to create social media clips. This workflow produces a polished episode and a week's worth of social media content in under five hours of actual work.