LocalClip — semantic search for local video
Find a spoken line, a shot, or on-screen text across hundreds of local videos with one sentence.
- Problem
- People who work with video remember a quote from an interview, a shot they captured, or roughly what was in a clip, but cannot recall which file or minute it was in; they end up opening files one by one and scrubbing. Cloud services are a poor fit for private footage, and manual tagging never happens.
- Solution
- A local-first desktop tool: point it at folders of video, audio, and images, let it index once, then search by natural language for spoken lines, general meaning, visual shots, and on-screen text such as slides or recordings. Results jump to the exact moment with a preview, and source files never leave the machine.
- Users
- Video creators, podcast editors, documentary teams, teachers and trainers with recorded lectures
- MVP
- Import local folders and build a transcript/speech index; search spoken lines and paraphrased meaning; search shots by visual description; search text shown on screen; jump to the timestamp with one-click preview.
- Revenue
- One-time desktop license at $29–59, or paid minute packs after a free local transcription quota.
- Why now
- Local transcription and vision models now run on consumer hardware, making private-media content search viable for indie developers while big products still push cloud uploads.