SAVA is a local-first video analysis tool that helps users find scenes in a video using natural-language descriptions. Users provide a video and a query such as 'a dog running on the beach'. SAVA analyzes the video frame by frame, scores how closely each moment matches the query, detects the relevant scenes, and generates a visual report. The report includes a score timeline, clickable detected scene ranges, inline video clips, thumbnail strips, and a machine-readable JSON output. Users can run SAVA from the command line or through a local web UI. SAVA is designed for quickly reviewing long videos, extracting relevant moments, organizing footage, and creating shareable visual summaries. With the local backend, analysis runs fully on-device, so videos and queries do not leave the user's machine.
SAVA turns videos into searchable visual reports, making it easier to find, inspect, and reuse specific moments in video content.
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