Who should use the Automated Podcast Production workflow?
Teams or solo builders working on audio tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pageAudio Enhancement
Remove background noise, normalize volume levels, and eliminate filler sounds from the raw recording.
Why this matters
Poor audio quality makes listeners switch off immediately. AI makes a bedroom recording sound like a professional studio in one click — no manual EQ required.
What you get
Crystal clear audio with perfectly balanced voices, ready for publishing without any further manual editing.
2Input · Step 2 of 4
Open task pageTranscription & Show Notes
Generate a word-level timestamped transcript, then produce AI-written chapter summaries and SEO-ready show notes from the full conversation.
Why this matters
Listeners discover podcasts via search text before they ever press play. Transcripts and show notes also make your content accessible to hearing-impaired audiences.
What you get
Full text transcript with speaker labels, time-stamped chapter markers, and a polished show notes document ready to post.
More optionsCompare
3Refine · Step 3 of 4
Open task pageShort-Form Clip Creation
Extract the most quotable and emotionally resonant 30–60 second moments from the episode transcript, add word-synced animated captions, and format each clip for vertical social video.
Why this matters
Long-form audio grows through short-form video. Repurposing a single podcast episode into five shareable clips multiplies its reach across TikTok, Reels, and YouTube Shorts without any additional recording.
What you get
A batch of vertical short-form videos with animated captions ready to post on TikTok, Reels, and YouTube Shorts — each starting on a strong hook pulled from the episode.
4Deliver · Step 4 of 4
Open task pagePublish the Episode and Review Launch Performance
Release the finished episode through your hosting platform, confirm it appears on the major podcast directories, and review the first wave of download and engagement data to plan follow-up promotion.
Why this matters
A finished file is not the real outcome. The workflow only becomes useful once the episode is published, distribution is confirmed, and you have enough early performance data to decide how to promote it next.
What you get
A live podcast episode with initial performance signals captured, so you can judge launch traction and decide which clips or channels deserve more promotion.