Analyzer · 100% free, no signup · Updated May 2026
Paste a podcast transcript. See the 5 best short-form clips.
A free transcript-to-clip suggestion tool. Paste a transcript with timestamps, get 5-10 clip-worthy moments scored on viral patterns (curiosity, contrarian, story, data, emotional peak). Each suggestion includes the timestamp range and a hook recommendation.
Paste a long-form transcript (podcast, interview, webinar). The detector scans every passage for hook patterns — questions that open loops, statistics that anchor curiosity, belief-reversal openings, imperative commands — and ranks the strongest 5–10 candidates by estimated short-form virality. Zero AI cost, runs entirely in your browser.
Paste a transcript above to see the top-ranked clip candidates.
Who this is for
Podcasters, YouTubers, and interview hosts who want to know which moments of a long recording will translate to TikTok / Reels / Shorts — before paying a clip-finder to extract them.
The problem this solves
You sit down with a 60-minute podcast transcript and stare at a wall of text. Which 30 seconds are worth turning into a TikTok? The detector applies the same hook-pattern rules production clip-finders use, but on plain text — so you can identify viral moments in 2 minutes without uploading the audio anywhere.
A 60-minute podcast transcript typically contains 4-8 clip-worthy moments at the 30-60 second range — yet manual scrubbing for those moments averages 90 minutes per episode, vs ~5 minutes with pattern-scoring tools.
Source: Podcast Movement 2024 producer survey + Riverside.fm creator workflow data
How to use it
- 01
Paste the full transcript
Plain text from your podcast platform, YouTube auto-captions, or a paid transcription service. The longer the better — the detector needs context to score.
- 02
Read the top-5 ranked passages
Each clip candidate gets a 0-100 score plus pattern flags (Question hook, Stat hook, Belief-reversal, Imperative open) so you understand why it scored.
- 03
Copy the timestamp + text
For each candidate, the detector estimates the in/out timestamp by assuming ~150 WPM speech. Drop them into your editor or Clipflow.
- 04
Generate the clips (optional)
If you have the source video, Clipflow can take this clip list and auto-render captioned vertical exports across TikTok, Reels, Shorts — in your brand voice.
What you get
- ✓ Top 5–10 ranked clip candidates with 0-100 scores
- ✓ Hook-pattern detection (Question / Stat / Belief-reversal / Imperative)
- ✓ Estimated in/out timestamps at 150 WPM
- ✓ No upload, no AI cost — pure text analysis in the browser
Frequently asked
What's the format for the transcript input?
Plain text with optional [00:01:23] timestamps. Tools like Otter.ai, Descript, and Riverside export this format natively.
How many clips can I expect from a 60-minute podcast?
4-8 in most niches. High-energy formats (debate, comedy): 10-12. Documentary/educational: 3-5. The scorer adjusts based on detected content density.
Does this work for video transcripts too?
Yes. Any text with timestamps works. YouTube's native transcript export, Descript exports, and Otter all paste cleanly.
What's the difference between this and the viral moment tester?
This scans a full transcript and surfaces moments. The Viral Moment Tester scores a single chunk you already identified. Use them together: this finds candidates, tester validates them.
Does Clipflow do this automatically?
Yes — Clipflow's clip-finder transcribes your upload, scores every 30-60s window, and surfaces the top 8-15 candidates with timestamps and proposed hooks.
Related tools
Author + maintainer
Adrian Berisha — Founder of Clipflow. Indie SaaS builder shipping creator tools full-time since 2024. All tools and benchmarks on this page are reviewed quarterly. Last review: May 2026.
@clipflow on X · LinkedIn · hi@clipflow.to
Want this baked into your workflow?
Clipflow runs the whole repurposing pipeline — clip-finder, brand-voice captions, scheduler, multi-platform publish — for free on the Starter plan.
Try Clipflow free