Muse.ai (also known as Skiv) is a cloud video hosting platform with powerful AI search — upload your videos, and viewers can search inside them by objects, text, speech, and sounds. It includes an embeddable player with 4K playback and unlimited bandwidth. FrameQuery is a local-first search tool for production teams — only lightweight proxies are uploaded for processing and deleted immediately after, with your search index stored locally. Search by scenes, faces, objects, and transcripts entirely offline. Choose Muse.ai to host and share searchable video; choose FrameQuery to search your own footage during production.
| Feature | FrameQuery | Muse.ai |
|---|---|---|
| Primary purpose | Search for creators/editors | Host + search for viewers |
| Architecture | Local-first desktop | Cloud video hosting |
| Pricing | From $9/mo | From $16/mo (80GB) |
| AI search | Faces, objects, scenes, transcripts | Objects, text, actions, speech, sounds |
| Format support | 50+ native formats | Common web formats |
| NLE export | FCPXML, EDL, LosslessCut | |
| Offline capable | ||
| Face recognition | ||
| Embeddable player | ||
| 4K playback & hosting | ||
| Unlimited bandwidth | ||
| Upload required | Proxy only (deleted after) |
Muse.ai offers impressive AI search across hosted videos — it can identify objects, on-screen text, actions, speech, and even sounds. Viewers can search inside videos directly from an embedded player, making it excellent for content libraries, training platforms, and media portals.
FrameQuery searches across visual scenes, transcripts, detected faces, and objects on your local machine. It adds face recognition that Muse.ai lacks, and supports 50+ professional formats natively. Searches return millisecond results because the index lives on your hardware, not in the cloud.
Muse.ai pricing is based on storage and seats: from $16/month (80GB, 1 seat) to $100/month (1TB, 10 seats), with unlimited bandwidth included on all plans. You pay for hosting capacity because Muse.ai stores and serves your video.
FrameQuery pricing is based on indexing hours: Free (search only), Starter at $9/month (5 hours), Pro at $49/month (50 hours with timecoded comments and approval workflows), and Max at $199/month (300 hours with shared indexes). There are no ongoing storage fees—proxies are deleted after processing and your search index lives locally.
FrameQuery natively supports 50+ video formats including professional camera formats like R3D, BRAW, ProRes, and CinemaDNG — no transcoding or uploading required. It exports search results to FCPXML, EDL, and LosslessCut markers for seamless NLE integration.
Muse.ai supports common web video formats and handles transcoding on upload. Its strength is on the output side: an embeddable player with 4K playback, unlimited bandwidth, and in-player search. It's built for distribution, not production.
FrameQuery uploads only lightweight proxy files for AI processing—your original footage is never uploaded, and proxies are deleted immediately after processing. Your search index lives locally on your machine, and once indexed, search works entirely offline. This matters for NDA-protected projects and sensitive content. Muse.ai requires uploading your full videos to their cloud permanently for hosting, search indexing, and playback.
They serve different purposes. Muse.ai is a video hosting platform with AI search built in — ideal for publishing searchable video content to viewers. FrameQuery is a local-first search tool for production teams who need to find moments in their own footage without uploading it anywhere. You might use both: Muse.ai for distribution and FrameQuery for production.
Both offer strong AI search. Muse.ai detects objects, text, actions, speech, and sounds within hosted videos. FrameQuery searches visual scenes, transcripts, detected faces, and objects across your local library. FrameQuery adds face recognition and supports 50+ professional formats natively. Muse.ai adds sound recognition and embeddable search for viewers.
Your original footage is never uploaded. FrameQuery sends only lightweight proxy files for cloud AI processing, and those proxies are deleted immediately after. The search index lives on your machine, so once indexed, search is entirely local and offline. Muse.ai requires uploading your full videos to their cloud for permanent hosting and search.
No. FrameQuery is a search and indexing tool for production teams, not a video hosting platform. If you need to host and share searchable videos with viewers or embed a player on your website, Muse.ai is the right choice. FrameQuery is designed for searching your own footage during production and post-production workflows.