AI podcast editor
FrameOS is an AI podcast editor built for video podcasters who publish short-form clips. Paste a YouTube link or upload an episode, and FrameOS identifies the moments worth clipping, reframes speakers for vertical video, captions every word, and delivers a ranked shortlist to review before you publish.
Clip finding from any podcast recording
A one-hour podcast contains eight to fifteen moments that work as standalone short-form clips — a strong claim, a surprising answer, a story with a payoff. Finding them manually means scrubbing the full episode. FrameOS analyses the transcript and audio to build a ranked list of candidates, sorted by hook strength, so you start from the best and work down. The goal is a short list you actually want to review, not a wall of mediocre auto-clips.
Speaker-aware reframe for two-person podcasts
Two-person podcast setups — side-by-side, across a table, in a face-to-face call — produce landscape footage where a plain center crop puts both speakers out of frame or cuts one off entirely. FrameOS tracks whoever is speaking and keeps the vertical crop on them as the conversation moves. In a typical 15-minute clip session, this is the single most visible quality difference between an edited-looking clip and an auto-cropped one.
Word-by-word captions for the muted feed
A large share of podcast clip viewers watch on mute — especially in the first seconds when the platform algorithm is deciding whether to distribute. FrameOS generates word-by-word animated captions placed clear of platform UI elements, styled to match your brand and hold attention through the clip. The text is editable before export so a guest's name is spelled correctly and any mistranscribed jargon is fixed before it goes live.
Review before you post
Automated output needs a human eye before it represents your show. FrameOS keeps a deliberate review step in the workflow: you see every clip candidate, its hook score, the reframe, and the captioned preview before committing to an export. Only what you approve gets exported. This makes the automation useful rather than risky — it handles the volume of clip generation, and you handle the judgment of what actually goes out.
AI podcast editing workflow
- Auto clip-finding from long podcast episodes.
- Hook-ranked shortlist — start from the best candidates.
- Speaker-aware reframe for two-person setups.
- Word-by-word animated captions, editable before export.
- Per-clip review before any export.
- No watermark.
FAQ
Can FrameOS edit video podcasts automatically?
Yes. FrameOS finds the strongest clips in a long podcast, reframes speakers for vertical, captions every word, and gives you a ranked shortlist to review before export.
Does FrameOS work with audio-only podcasts?
Clipping and reframing require video. For audio-only shows, record a video version or add a visual track — the vertical crop and captions need picture to work with.
How many clips does one podcast episode usually produce?
A one-hour podcast typically surfaces eight to fifteen clip-worthy moments. FrameOS ranks them and you choose how many to approve — the shortlist does the curation work.
What is the turnaround time for processing a podcast?
A typical episode processes in roughly 15 minutes, giving you a reviewed, export-ready shortlist the same session you upload.