DecaTrend AI clip maker

Turn Twitch and YouTube Livestreams Into Shorts

Live streams run for hours but the moments worth clipping are measured in seconds. DecaTrend scans the full VOD for audio energy spikes, reaction peaks, and commentary turning points, then surfaces the strongest candidates without requiring you to rewatch the broadcast.

Use case

Built for short-form creators who need repeatable output.

Best for gaming streamers on Twitch and YouTube, live commentary creators, IRL streamers, and reaction content producers who accumulate multi-hour recordings and need a repeatable clipping workflow.

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What makes a stream clip different from a podcast or webinar clip

Stream clips depend more on audio energy and reaction signals than on structured narrative. A clutch play, a failed run, an unexpected chat message read aloud, or a streamer's genuine laugh are the moments that drive shares. A four-hour Twitch broadcast typically surfaces 15 to 25 clip candidates after DecaTrend deprioritizes low-energy stretches like AFK segments, queuing screens, and loading transitions.

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Reaction-moment detection in gaming and live commentary

Reaction moments follow a recognizable pattern in the audio waveform: a sustained baseline interrupted by a sharp energy spike, often followed by vocal emphasis or laughter. DecaTrend detects these patterns by analyzing the audio envelope alongside the transcript. Commentary segments where the streamer addresses chat directly, explains a decision, or reacts to an in-game event tend to score higher on hook strength than ambient gameplay narration.

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Handling multi-hour recordings efficiently

Uploading a six-hour stream VOD is not the same as uploading a six-hour lecture. Stream VODs contain long stretches of repeated content that DecaTrend skips during scoring. The processing pipeline splits the audio track into analysis windows before running transcription, which keeps turnaround time proportional to the number of high-energy segments rather than the total file length.

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Vertical formatting, captions, and posting to Shorts and Reels

Gaming content is usually recorded in 16:9 landscape. DecaTrend exports clips in 9:16 with scale-and-pad formatting so the clip fills a Shorts or Reels frame without distortion. Captions are generated from the audio track and synced at the word level. Creator tier and above can post clips directly to YouTube Shorts or TikTok from the DecaTrend dashboard without a separate download step.

FAQ

Questions creators ask before clipping.

Can I upload a Twitch VOD or YouTube stream download directly?

Yes. Download the VOD from Twitch via creator tools or from YouTube Studio, then upload to DecaTrend. Files up to 5 GB are supported.

Does it work for IRL streams, not just gaming?

Yes. IRL and talk streams work well because they have strong spoken-word content for the transcription pass. Game-only streams with minimal commentary are harder to clip because there is less verbal narrative to anchor clip boundaries.

How many clips does a 4-hour stream typically produce?

A four-hour broadcast with active commentary usually produces 15 to 25 scored clip candidates. Long, low-energy stretches are deprioritized and may produce no candidates.

Can DecaTrend detect when something funny happened, not just when audio was loud?

DecaTrend uses audio energy and emotional arc signals together, not volume alone. Laughter, sudden silence followed by commentary, and repeated words common in genuine reactions all influence the scoring. It is more reliable than sorting clips by peak decibel level.

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