How to Edit a Podcast with AI: The Complete Workflow
Recording a podcast takes an hour. Editing it used to take the rest of the day — hunting silences, cutting umms, trimming the takes you flubbed, captioning. Here's the workflow that reduces all of it to one request and a review listen.
Edit This Week's Episode Now
Upload the recording, describe the edit, get a finished episode.
Start Editing Free →What the Agent Handles
All of it comes from describing what you want in chat — no timeline hunting. The silence, filler, and retake cleanup is the core of a podcast edit, and the cuts and cleanup docs walk through it request by request.
The Workflow
Upload the raw recording
Your full session — video podcast footage or an audio-first recording, up to 2GB (MP4, MOV, MKV, WebM). Long files are fine; analysis runs once per upload — longer files take longer, with visible progress — then the whole episode is indexed.
Describe the episode you want
Length target, how tight the cut should feel, caption style. Upload a music track too if you want a bed — Valmera uses your music, not a stock library. Copy an example below.
Review like a listener
Play the preview. You're checking flow and tone — and the agent's summary of what changed is verified by an honesty layer against the edit it actually made, so the reply matches the cut.
Refine with notes
"Leave more air after the big answer at 31:00." "Drop the music a touch under the interview." The agent applies each note to the cut.
Export, then ask for clips
The final export renders from your original full-quality file, not the preview proxy. Then request vertical clips of the best moments, one clip per request — promotion sorted in the same session.
Why Transcript Accuracy Decides the Edit
Every cut the agent makes is anchored to words, so the transcript is the edit. Valmera transcribes your episode with Deepgram nova-3 at word-level timing — when you say "remove the umms," the cut lands on the umm, not on the syllable next to it.
The same word-level index is what makes retake cleanup possible. If you read a line four times before nailing it, ask for the retakes to go and the agent keeps the best read — the transcript shows it exactly which passages repeat. And the transcript itself is editable: open the panel, fix a misheard name in a sentence, and the captions re-render from your correction. The timeline and transcript docs cover the panel, and the captions docs cover styles — color, size, position, karaoke word-pop, and fade, pop, or slide-up animations.
Music and Levels — What It Does and Doesn't
Valmera lays a music bed under your episode from your own track — upload any music file up to 50MB and the agent handles volume and automatic ducking, dipping the music whenever someone speaks and letting it rise in the gaps. You also get per-layer gain: speech, music, and voiceover each have their own level.
What it won't do: it doesn't balance two microphones against each other — if your guest's mic ran hot, fix that in your recorder, not in the edit, because Valmera adjusts the speech layer as a whole rather than per speaker. The audio and music docs cover the ducking and gain controls in detail.
Example Requests to Copy
Clips work one per request — review each preview, then ask for the next moment as a follow-up. The Free plan's 20 daily credits plus the one-time 150-credit welcome bonus are enough to run this workflow on a real episode. If you publish weekly, the Plus plan at $20/month adds 800 monthly credits.
This Week's Episode, Done Today
One request replaces the editing afternoon. Free tier — 20 daily credits.
Start Editing Free →Frequently Asked Questions
Edit Your Podcast with Valmera
Finished, captioned episodes from plain-English requests. Free tier available.
Try Valmera Free →