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Clipto

Fully local, natural language search over terabytes of media

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Like Google Photos, but fully local. Turn the terabytes of video, audio, meetings, and files you work with into searchable memories, without uploading anything to the cloud. Clipto automatically tags people, dialogue, and scenes, so you can instantly find any moment buried in your media just by describing what you're looking for. It's fast too: on a MacBook Pro M5, Clipto indexed 2TB of videos in just 24 hours.

PH · launched May 31, 2026 · 522 upvotes (top 9%) · 2 views

Niche: multimedia and records search engines · 74 launches, 4 in the last 7 days · Explore this niche →

Category and tags

  • Media & entertainment
  • Search & retrieval
  • Prosumer
  • AI-native
  • Commercial product
  • Mac
  • Productivity
  • Artificial Intelligence

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Could you build this?

Partial Building a simple UI over local Whisper or CLIP is possible, but indexing terabytes of video and audio locally without crashing or overheating consumer machines requires high-performance systems and computer vision expertise.

What it would actually take: This requires high-efficiency native pipelines using FFmpeg, CoreML/DirectML, local Whisper implementations, and vision encoders (CLIP/SigLIP/face embeddings) with GPU acceleration. The hard problem is building an offline background indexing engine that efficiently parses terabytes of video files, keyframing, audio chunking, and embedding generation while managing strict local thermal, RAM, and battery budgets.

Competitors

Other products that read as similar to this one : 326 launches clear the similarity bar, closest 8 shown.

Attention rank: #50 of 327 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 167 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.