For OTT, film and music
Type the scene.
Jump to the moment.
A content team types what it is looking for, a line of dialogue, a scene, a place, and jumps to the exact moment across the whole library, in 23 Indian languages and English.
The library is large. The tags are thin.
Catalogue tags are short and inconsistent, and they were written for rights and scheduling, not for finding a scene. Promo and trailer teams end up searching by memory and asking colleagues who watched the film years ago. Deepgrip reads the speech and the screen of every title, so the library can be searched the way people remember it.
- Find every scene that matches a brief, across the whole library
- Search a library where each title is in a different language with one query
- Build compilations for promos and recaps from the moments you find
- Give editors the timestamped source for every pick
- Find moments by dialogue, by what is shown on screen, and by scene
- Index titles where they already live: NAS, cloud storage, LTO tape archives and MAM systems
Search by dialogue, place and scene
Describe the scene in plain language. Deepgrip returns the matching moments across your catalogue, each with its title and timestamp, so a promo editor can watch the exact moment before using it.
Search by meaning across speech and on-screen content
Answers with the title and timestamp of every moment
Transcripts in 23 Indian languages and English
One query across titles in different languages
Find the scene
Example
Build the promo cut from your own library
Assemble the moments you find into clips and compilations built around a character, a place, a theme or a brief. Every cut keeps its link back to the source title and timestamp.
Entity-driven compilations
Clips cut from the moments you select
Source title and timestamp kept on every output
Review before anything leaves your team
Compilations
Example
On Deepgrip cloud or on your premises
Deepgrip runs on Deepgrip cloud or on your own premises, and connects to NAS, cloud storage, LTO tape archives and MAM systems, so titles are indexed where they are held.
Deepgrip cloud or on-premise deployment
Connects to NAS, cloud storage, LTO and MAM systems
Role-based access and audit logs
Export transcripts as SRT, VTT, TXT or JSON
Where it runs
Example
23
Indian languages plus English
NAS · LTO · MAM
Where titles are indexed from
Cloud or on-prem
Where Deepgrip runs
Timestamped
Every answer cites its source moment
Common questions
Can it search a library where each title is in a different language?+
Yes. Deepgrip covers 23 Indian languages and English, and one query searches across titles in different languages.
Can we try it on our own content?+
Yes. Book a demo with a few of your titles. If it fits, we scope a paid 14-day proof of concept against success criteria agreed on day one.
Does Deepgrip recognise songs or music?+
No. Deepgrip searches what is said and what is shown. It does not identify songs or tracks from the audio.
Can it connect to our MAM or tape archive?+
Yes. Deepgrip connects to MAM systems and LTO tape archives, as well as NAS and cloud storage.
Bring a few of your titles
Book a demo with a sample of your library. If it fits, we scope a paid 14-day proof of concept against success criteria agreed on day one.