No buzzwords. Here's how long-form content becomes 30+ finished videos while you sleep.
30 minutes after you end stream — or publish a podcast episode — the system grabs your content and gets to work. It transcribes everything with production-grade speech AI, finds the moments worth watching, and cuts them into finished videos.
A typical 12-hour stream produces 30+ pieces of content. A 2-hour podcast produces 10-15 clips. Full story arcs, tight highlights, vertical Shorts — titles, descriptions, tags, chapters, thumbnails all generated. Everything goes up as unlisted so nothing goes public without you saying so.
Most clip tools rely on chat activity to find "good moments." No viewers? No clips. Our multi-signal system analyzes audio energy, speech patterns, emotional peaks, and dialogue density — not just chat. Perfect clips from any stream, regardless of viewer count.
Solo streamers, new channels, podcasters with no live audience, recorded lectures with zero chat — it doesn't matter. If there's something worth watching, the pipeline finds it.
Before anything uploads, it goes through a review panel — 7 independent AI agents that each evaluate a different dimension. They score independently, and only content above the bar gets through.
Hard gates run first — dead air, off-topic tangents, low audio, silence gaps, and dark/broken thumbnails all get caught before the review panel even sees them. Content that doesn't clear the gates gets rejected automatically.
Every video that passes review gets a verdict: BEST_OF (featured), APPROVED (publish-ready), MARGINAL (needs your review), or REJECT. You only see what's worth your time.
A tense 30-minute standoff shouldn't be cut the same way as a podcast interview, a Sunday sermon, or a 20-second viral clip. Whether you stream games, record podcasts, or publish teaching content — the pipeline reads your content and picks the right editing style:
Each profile controls: pacing, visual effects, SFX, background music, audio normalization, captions, cold opens, outros, thumbnails, and the quality bar. Tell us what you want or show us 2 videos you like — we'll train custom profiles that match your style.
Every video gets a 1280x720 thumbnail built for click-through rate. The system scores dozens of candidate frames for brightness, contrast, and visual impact — then picks the best one. Comedy content gets gold accents, heist arcs get green, confrontations get orange. Character names and hook text overlaid with high-contrast styling readable at any size.
YouTube long-form gets 16:9 thumbnails. Shorts get vertical 9:16 versions. All generated from your own footage — zero copyright issues, zero stock photos. Your dashboard shows all thumbnails with one-click download.
Automatic detection of copyrighted audio. Silence detection for muted VOD sections. Optional AI music separation via Demucs. Your clips are Content ID safe before they go live.
Twitch mutes copyrighted audio in VODs — the pipeline detects those silent sections automatically and avoids clipping through them. If you want to go further, Demucs separates music from speech so you keep the commentary and lose the licensed track. No manual checking, no Content ID strikes on upload.
A gaming stream and a podcast don't have the same norms. The safety scanner knows this — profanity that's normal in your genre won't trigger false flags, but stuff that could actually get your video age-restricted or demonetized gets caught before upload.
It checks profanity, violence, slurs (always flagged no matter what), and gambling references. You get a monetization risk score before anything goes live. Bleeping, caption redaction, quarantine thresholds — all adjustable per creator.
Raw stream footage is static by default — one camera angle, no movement. The cinematic engine changes that. Smart zoom pushes in on high-engagement moments using sinusoidal easing. Audio-driven cuts sync transitions to voice spikes and beat transients. Ken Burns adds slow pan-and-zoom on static scenes to keep visual interest.
Seven genre presets (gaming RP, podcast, sermon, lecture, and more) control intensity, speed, and style. The engine outputs a single FFmpeg filter chain — one re-encode, zero quality loss from stacking effects. Everything is configurable per creator.
Visual scene detection uses CLIP zero-shot classification to identify what's on screen — chase scenes, dialogue, combat, exploration, menus, loading screens. Each scene type gets a visual engagement score. The pipeline uses this to avoid clipping through dead visuals and to match thumbnails to the most impactful frames.
Speaker diarization identifies who's talking and when. Neural models (pyannote) segment the audio by speaker, then character mapping matches voices to your cast using transcript context. The output: [Wrangler @ 2:00:30] — every line attributed to the right character. This powers character-based story arc detection and multi-speaker highlight extraction.
Each platform wants different things. The pipeline generates platform-specific metadata for each:
YouTube long-form gets searchable titles, chapters, and 10-15 tags. Shorts get hashtags above the title and the right duration. TikTok gets 150-char captions with niche hashtags (no #fyp spam). Instagram gets keyword-rich captions because hashtags stopped working in 2025. X gets questions that bait replies (they're worth 27x a like). Reddit gets de-clickbaited titles with character tags. LinkedIn gets professional-tone posts that frame your content as creator economy insight. Kick gets gaming-focused clips optimized for the 60s-5min sweet spot. Threads gets casual, meme-friendly captions with trending hashtags. Facebook Reels gets completion-optimized short-form video.
YouTube is fully supported. The pipeline generates platform-specific metadata for 9 platforms (YouTube, TikTok, Instagram, X, Reddit, LinkedIn, Facebook, Kick, Threads) — each video scored per-platform and only distributed where it fits. Multi-platform auto-posting is available on Pro and Enterprise tiers.
Brand voice: Write a paragraph describing your brand and the pipeline changes how it picks content, writes titles, and scores videos. Show it examples of titles you like and don't like.
Characters: Add your characters and their nicknames — the system catches them in dialogue and tracks story arcs across sessions.
Quality bar: Set how strict the review panel is. Only the best moments, or everything above a minimum? Your call.
Safety thresholds: Profanity ok? Bleeping? Caption redaction? Monetization-safe mode? Set it once, never think about it again.
Editing style: Pacing, effects, music, captions, outro style, cold opens — all configurable. Or send us 2 example videos and we'll train custom profiles automatically.
Twitch mutes your VODs. We capture the original. Connect your streaming software as a secondary output — we record the raw, unmuted stream in real-time before Twitch processes it. When the pipeline runs, it uses your raw recording instead of the muted VOD. Perfect audio every time.
Zero risk to your stream. This is a secondary output from OBS — completely independent. If our server goes down, your Twitch stream continues unaffected. Your stream key is HMAC-signed, rotatable, and revocable. Recordings are access-logged and encrypted.
Works with your software: OBS Studio (recommended), OBS with FFmpeg output, Streamlabs (via local relay), StreamYard/Riverside/Restream (via RTMP). Setup takes 5 minutes →
SOC-2 compliant evidence collection. Over 100 automated checks run on every deployment. Pre-commit security gates catch vulnerabilities before they reach production. All dependencies pinned to exact versions. File-level permission hardening across the entire system.
Your OAuth tokens are encrypted at rest. API keys rotate automatically. Every pipeline run produces an auditable evidence trail — what was processed, what was reviewed, what was uploaded, and when. Built for creators who need to trust the system handling their channel.
Already have clips on YouTube? We ingest your entire existing library, analyze every title, tag, and description, and show you exactly what can be optimized. New clips get added automatically as they appear.
We never delete or modify your existing content. The library is additive only — every clip you've ever published stays in your dashboard. We analyze and suggest improvements. You decide what to apply.
Tag optimization alone can dramatically improve discoverability. Most creators have 3-5 tags per video when YouTube recommends 12-15. We generate platform-specific tags based on your content, characters, and niche.
You already made the content. Let it work for you.
See Pricing