[ Service ] · Last updated 2026-05-12
AI Footage Library Mining for Brands
Most brands sit on hard drives full of unused footage. Founder interviews, brand shoots, product days, customer stories, UGC. Finding the right ten-second moment across hundreds of hours is the bottleneck. Miru indexes your library, surfaces clips in plain English, and a senior CD cuts what's found into ad-ready or organic-ready video. AI as a layer underneath the work, not the work itself. Every cut made by hand. No new shoots required.
The library problem
Every brand that has been shooting for more than a year has the same problem: lots of footage, no way to find specific moments. Manual logging takes weeks no one schedules. Repurposing requires watching everything in real time. So the content gets shelved, and the brand pays for another shoot.
The 90/10 of every footage library: 90 percent unused, 10 percent on rotation. The good stuff is in the 90.
How AI library mining works
- Index. Every clip transcribed, embedded, and tagged. Audio plus visual. The library becomes searchable like a database, not a folder tree.
- Search. Natural-language queries against the index. "Every clip where the founder talks about sleep at golden hour." "Customer testimonials longer than fifteen seconds shot indoors." "All product demo b-roll under three minutes."
- Classify. Topic, speaker, emotion, lighting, lens length, product on screen, brand mark visible. Browse the library by any of these.
- Surface. Best thirty seconds of an hour-long interview. Top five moments of a five-hour shoot day. Highlights ranked by usability, not chronologically.
- Cut. A senior creative director cuts the surfaced material into ad-ready or organic-ready video. The tooling finds. The CD tells the story.
What you get
- 15 to 20 cuts per month sourced from your library at the Pilot tier. Higher volume at Engine and Studio.
- An indexed, searchable library for future use. Once a clip is tagged, it stays tagged. You own the index.
- Organic-ready or ad-ready output. 9:16, 1:1, 4:5, 16:9 as needed.
- Optional brand-voice pipeline. The mining system trained on your brand's specific tone and visual language, for repeatable retrieval that matches your aesthetic.
Who this is for
- Brands with one-hundred-plus hours of accumulated footage. Years of shoots, interviews, UGC, behind-the-scenes.
- Brands focused on organic content (TikTok, Instagram Reels, YouTube Shorts) where the unit economics of a fresh shoot per post do not work.
- DTC brands with founder-led content where the founder has been on camera for years and most of it is unedited.
- Anyone who has paid for a content shoot and used one percent of what was filmed. The library mining converts paid-for footage into paid-for output.
What this is not
- Not a SaaS tool. No login for you. The pipeline runs inside the retainer. You get cuts, not a dashboard to operate.
- Not stock footage. The library is yours. The output is yours. Nothing generic gets shipped against your brand.
- Not a one-time project. Indexing can be quoted as a project, but the value compounds with use. The retainer keeps the library searchable as new footage comes in.