Skip Clips is built on the shoulders of exceptional technology providers, open-source projects, and developer communities. We’re grateful for the tools and infrastructure that make our analysis of long-form video and audio possible.
Novita.ai
We use Novita.ai to analyse and transform data through its wide range of hosted model APIs, enabling efficient and scalable language processing.
Vast.ai
Vast.ai provides on-demand GPU compute used to transcribe and process the thousands of hours of video and audio content.
We have found the platform to be extremely competitive, quick to get started and flexible.
OVH
OVH handles much of our core general purpose compute which cannot be performed on GPU's. They’ve proven to be an extremely reliable and affordable partner for day-to-day operations.
Cloudflare
Cloudflare helps safeguard our site from scraping and abuse while improving performance through fast global caching and optimised page delivery.
Whisper
The open-source Whisper model provides exceptional speech recognition accuracy and forms the backbone of how we transform the countless hours of audio and video into detailed summaries.
Spotify
We rely on the Spotify and the Spotify API to keep creator and release information current and consistent across our platform.
Qwen
The open-source Qwen model is central to our analysis, supporting topic recognition and contextual understanding.
We have found it one of the most reliable and consistent models for large context analysis.
Community and Creators
We’d also like to thank the many content creators, podcasters, and video producers whose work makes Skip Clips meaningful. Their content, insights, and creativity are the foundation of what we do.
A sincere thanks to our users and the wider community for their ongoing support, feedback, and inspiration. Your contributions continually shape the direction and improvement of Skip Clips.