The valuable moments are sparse.
A creator may stream for hours to produce only a handful of moments worth publishing. Finding them manually is expensive.
ZoneClip is a local-first AI video editing product that turns long recordings into publishable short-form videos. We are starting with gaming VODs before expanding to interviews, podcasts, talent streams, and other long-form creator workflows.
Streamers already do the hardest part: creating the live experience. After the stream ends, however, their best moments are often buried in hours of footage.
Finding those moments, editing them, adapting them for each platform, publishing them, and learning what worked can become a second full-time job.
AI is getting better at understanding video, but many workflows still begin by asking creators to upload source footage and pay for recurring cloud compute. That creates real tradeoffs in privacy, control, and cost—especially for creators still working to make their content sustainable.
Turn the computing power creators already own into creative leverage.
Help creators turn long recordings into videos worth publishing—without making every useful minute of AI assistance depend on a recurring cloud bill.Gaming gives us a focused, demanding place to begin. A useful clip has to understand more than volume or motion.
A creator may stream for hours to produce only a handful of moments worth publishing. Finding them manually is expensive.
Game events, creator reactions, audience interaction, and match direction help separate a complete beat from a loud timestamp.
Gaming creators still have to edit, package, publish, and learn what works across short-form-first platforms.
Current focus: ZoneClip is focused on gaming workflows today. Interviews, podcasts, talent streams, and other long-form workflows are product direction—not a claim of current support.
If your own device can do the work, basic creative output should not require a recurring cloud bill.
Designed to remain $0 as a practical product creators can keep using—not as a time-limited trial.
Planned for creators who want more model capacity, speed, automation, and learning across their publishing workflow.
Creators should gain more privacy, control, and useful output from hardware they already own.
Explore the architectureHighlight detection, transcoding, editing, and rendering can run on the creator's device. Local model providers and user-selected custom providers are available today.
Deeper content understanding, alternative highlight analysis, and multi-clip assembly may use a remote provider depending on the workflow and provider a creator selects.
Leoqliang is the founder and product lead of ZoneClip and co-founder of Everzone, a startup building local AI software and hardware. From 2022 to 2026, he led engineering for TikTok LIVE Studio, TikTok's desktop broadcasting product for professional creators.
Previously, he spent 2014 to 2022 at Tencent managing engineering teams that built content technology. He has spent more than a decade building products and infrastructure for creators.
Product facts reviewed by Leoqliang, Founder & Product Lead, ZoneClip.
If you create from long gaming recordings, join Early Access and tell us what a publishable clip looks like for you.
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