Standalone product · pre-alpha
Rocket Videoturn your videos into knowledge
Store meeting recordings and training videos, process quality variants and find relevant subtitle fragments with an AI assistant. Deploy independently with S3 storage, PostgreSQL and your choice of models.
The working interface
Screenshots of the Russian-language interface using a test video. AI answers on the landing illustration are examples, not measured results.
A foundation for your video archive
Video library
Upload progress, metadata, filters and thumbnails.
Media processing
FFmpeg quality profiles and queued MP4/WebM renditions.
Subtitles and AI
Whisper transcription, pgvector subtitle search and six assistant tools, including frame extraction.
Your infrastructure
Docker Compose, S3-compatible RustFS, PostgreSQL and application API keys.
Configuration required
Provision Whisper binaries/models and a compatible AI provider. Stored vectors are 1024-dimensional.
Roadmap
HLS, SSO/RBAC, shared collections and conversation memory are not yet implemented.
Build a video library for your team
Tell us about your archive, infrastructure and data requirements. We will agree on a pilot and acceptance criteria.