A podcast is not one job, it is five: record, edit, fix, publish, promote. AI now helps with all five, but unevenly, and the tool lists that pile fifteen apps onto a hobby show miss the point. Here is the stack organized the way an episode actually moves, with the budget math at the end.
Recording and editing: Descript is the center
For spoken-word content, Descript’s text-based editing is the closest thing to a default choice this guide will ever make. You edit the transcript, the audio follows. Filler-word removal, studio sound to rescue a bad room, and Overdub to patch a misspoken sentence without booking a re-record: those three features alone compress an evening of editing into an hour. Paid plans start at about $12/month, and the free tier is honest enough to prove the case on one real episode.
The limits are real too. A complex production (multitrack music, layered sound design, heavy effects) still belongs in a classic timeline editor, and heavy projects can tax the app, so export before it matters. For a talking-head show, an interview format, or a narrated essay, none of that applies, and Descript wins on speed.
Voice fixes, intros and trailers: ElevenLabs or Murf
Two different jobs hide under “AI voice,” and podcasters usually need the small one. The small job is patching: a mispronounced sponsor name, a rerecorded intro, a trailer voiced without dragging your co-host back to the mic. Descript’s Overdub covers most of it. When you want a standalone generated voice (a narrated segment, an audiogram voiceover, a multilingual teaser), ElevenLabs is the quality reference, from about $5/month with usage-based pricing above. The meter is the catch: character quotas make heavy use climb fast, so price your real monthly minutes before promising a fully narrated back catalog.
Murf (from about $19/month) is the honest second option, and the honest comparison is short: its raw voice realism sits a notch below ElevenLabs, and its strength, an editor built for syncing narration to slides and video, matters more to e-learning teams than to podcasters. Pick Murf if your show doubles as corporate or training content. For audio the audience judges purely on sound, ElevenLabs. The longer version of this comparison is in our AI voice tools guide.
Transcripts and show notes: two tools, or maybe one
Transcripts stopped being optional: accessibility, search, and the raw material for everything in the next section. If you already edit in Descript, you already have a transcript, and for many shows that ends the question.
The dedicated transcribers earn their place when episodes are recorded as calls. Otter (Pro from about $8/month) is the simple veteran: join, transcribe, highlight live, done. Fireflies (Pro from about $10/month) wins when notes must flow somewhere, with integrations into Slack, task managers and CRMs, and broader multilingual coverage. Our Otter versus Fireflies comparison goes deeper; the short answer for podcasters is that Otter fits a solo interviewer and Fireflies fits a show run like a business.
Show notes are a different craft, and here the meeting tools underdeliver. Their summaries are built for action items, not for copy that sells an episode. A general assistant does this job better: paste the transcript into Claude or ChatGPT (about $20/month, free tiers first) with your show’s format and past examples, and you get titles, descriptions, chapter markers and pull quotes in your voice rather than in minutes-of-meeting prose. Claude’s long-document handling is the differentiator when episodes run past an hour. If you subscribe to an assistant for anything else, your show notes tool is already paid for.
Repurposing: clips, audiograms and social
The growth work happens after publish, and two tools cover it. Descript again: highlight a strong minute of transcript, export it as a captioned vertical clip, and you have the raw unit of podcast promotion without learning a video editor. Canva (free tier; Pro from about $120/year) handles the rest: episode art, audiogram templates, quote cards, and a brand kit that keeps fifty weekly assets looking like one show. Neither output will fool a motion designer. Both are good enough for the feed, and the feed is the job.
The assistant earns a second mention here. One transcript becomes a newsletter section, a thread, five post drafts. The marginal cost of repurposing an episode is now mostly the ten minutes of review, which is exactly why every show does it.
The glue: automation for the publish checklist
Publishing an episode is a checklist that never changes: file up, notes posted, clips scheduled, newsletter drafted, guest thanked. Zapier (free tier; paid from about $20/month) connects the widest range of apps and can run AI steps inside the flow, drafting the guest email from the episode title. Make (from about $9/month) does more branching logic for less money with a steeper learning curve. A weekly show does not need either on day one. It needs one of them the week the checklist first slips.
What a realistic podcast stack costs
| Stack | Tools | Monthly total |
|---|---|---|
| Minimal | Descript paid, free tiers everywhere else | about $12/month |
| Comfortable | Descript, one assistant, Otter or Fireflies, Canva Pro | about $50/month |
| Full workflow | Comfortable stack plus ElevenLabs and Zapier or Make | about $65 to $85/month |
The minimal stack is not a compromise, it is the correct starting point: Descript plus the free tiers of an assistant and Canva covers recording, editing, notes and basic promotion. The comfortable stack is where most serious weekly shows land. The full stack only makes sense once voice generation and automation are solving named problems, not hypothetical ones.
What AI still cannot do for your podcast
Honesty section. AI cannot make a boring conversation interesting; it edits what happened, it does not improve what was said. It cannot book guests, and outreach written entirely by a model reads like it. It cannot replace editorial judgment about what to cut: filler-word removal is automatic, but knowing that minutes twelve through nineteen drag is still your ear. Generated voices remain a poor substitute for a host; listeners subscribe to a person, and shows that automate the person away lose the only asset that matters. And no tool grows an audience. Distribution is consistency, positioning and time, and every AI feature above only makes the consistent part cheaper.
Our recommendation
- Every podcaster: Descript first. One episode on the free tier will decide it.
- Show notes and repurposing: a general assistant plus your transcript beats any dedicated summarizer.
- Interview shows recorded as calls: Otter for solo simplicity, Fireflies when notes must land in other systems.
- Voice generation: ElevenLabs, priced against your real monthly volume; Murf only if your show shades into training content.
- Automation: Zapier or Make the week the publish checklist first slips, and not before.