Spikes Studio is an AI clipper that finds viral moments in long videos and turns them into captioned shorts automatically.
Spikes Studio ingests streams, podcasts and long-form recordings and uses AI to identify high-interest segments worth clipping. It adds animated captions, reframes to vertical around speakers and applies AI-generated titles and hashtags. Scheduling and multi-platform export let creators run short-form pipelines end to end. Streamers and podcasters adopt it to sustain daily posting from weekly recordings.
Spikes Studio operates freemium, with free monthly processing minutes and paid plans for more hours, faster rendering and premium features.
Streamers, podcasters and video creators who want automated short-form content from long recordings.
Yes, a free tier with limited processing minutes is available; paid plans scale up usage.
It is a creator platform; integration needs are met through the product and business plans.
Its end-to-end pipeline from clip detection through scheduling distinguishes it from editors that only cut and caption.
Streamers auto-clip the funniest moments from six-hour broadcasts and post daily shorts. Podcasters generate captioned clips with AI-suggested titles and hashtags. Educators slice lectures into micro-lessons. Creators schedule clip drops across platforms to maintain presence without manual posting.
Highlight detection can miss nuanced moments, and free minutes limit heavy streams. Caption styles need customization for brand fit. Eklipse, Opus Clip and Klap offer similar stream clipping.
Spikes Studio processes videos in the cloud: users connect channels, upload or link long recordings and receive captioned clips with AI-suggested metadata. Scheduling tools post output across platforms from the same workspace. Free minutes support testing; paid plans scale processing. Ongoing use is continuous for streamers and podcasters, with review steps to approve clips before publishing and occasional style adjustments to captions and titles.
Spikes Studio covers the full clip pipeline from detection to scheduling, which streamlines creator workflows. Highlight detection needs review for quality control. Streamers and podcasters posting daily will benefit most from its automation.
Note: the platform works best for creators with a consistent publishing schedule, since its scheduling and caption tooling rewards daily or weekly posting. Creators who post only occasionally may not need the full pipeline and could use lighter clippers instead.