The AI Podcast Clip Generator That Finds Your Best Moments
A typical podcast episode runs 60-90 minutes and contains a handful of genuinely quotable moments buried in conversation. OpenClip reads your full transcript, scores every segment for clip potential, and delivers 5-15 vertical, captioned clips per episode — with the active speaker framed automatically, even in two-host and guest setups.
Scenario
Podcasters face a brutal math problem: producing a weekly 60-90 minute episode is already a full workload, but growth now happens on TikTok, Reels, and Shorts — which demand 3-7 short clips per episode, every week. Manually scrubbing a 75-minute conversation for the strongest 45 seconds, cropping a wide two-host frame into 9:16, and hand-timing captions takes hours per episode. OpenClip automates the entire chain: it transcribes the episode, uses AI moment detection to rank the most quotable, emotionally charged, or contrarian segments, crops each clip to vertical with the active speaker tracked and centered, and burns in word-level captions. Recordings from Riverside, Zoom, StreamYard, or a local multicam edit all work — upload the file or paste the URL and the clip pipeline runs on its own.
Workflow
Upload your episode or paste a link
Drop in the finished episode file from your editor, or a recording straight out of Riverside, Zoom, or StreamYard. Long files are expected — 60-120 minute episodes are the normal input, not an edge case.
AI transcribes and separates speakers
OpenClip generates a word-level transcript with speaker diarization, so it knows which host or guest said what. This powers both accurate captions and correct framing decisions later in the pipeline.
Moment detection ranks your best segments
The AI scans the full conversation for hooks, strong opinions, stories with payoffs, and quotable one-liners — the segments listeners actually share — and returns a ranked set of 5-15 clip candidates per episode.
Clips are cropped to 9:16 with speaker tracking
Each clip is reframed to vertical with face tracking keeping the active speaker centered. When the conversation bounces between host and guest, the framing follows the person talking instead of showing an empty half of a wide shot.
Export captioned clips for every platform
Word-level captions are burned in using your chosen preset, and clips export ready for TikTok, Reels, and Shorts — enough material to post daily from a single weekly episode.
Benefits
Key Metrics
5-15
Clips per episode
60-120 min
Typical episode length handled
Word-level
Caption sync precision
3-5 hrs/episode
Manual scrubbing replaced
Features
AI Moment Detection for Conversation
Trained on what makes talk-based content shareable: hooks, hot takes, story payoffs, and quotable lines. It ranks 5-15 candidates per episode so you post the strongest moments first.
Speaker Diarization and Tracking
The transcript knows who's speaking, and the 9:16 crop follows them. Host-guest interviews and two-host banter stay correctly framed without manual keyframing.
Word-Level Podcast Captions
Captions sync to each spoken word, not sentence blocks — essential for fast conversational speech where sentence-level captions constantly lag behind.
Built for Long Episodes
60, 90, or 120-minute recordings process as a single upload. No pre-chopping your episode into parts just to fit a tool's limits.
10 Caption Presets
Match your show's brand with presets from clean and minimal to bold word-highlight styles — the same look on every clip, every episode.
Every Platform From One Upload
Each detected moment exports as a vertical captioned clip ready for TikTok, Instagram Reels, and YouTube Shorts, so one episode feeds every channel.
Frequently Asked Questions
Turn This Week's Episode Into Next Week's Content
Upload one episode and get a ranked set of captioned, speaker-tracked vertical clips — your entire short-form calendar from a single recording.