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Video archive search for broadcasters, music labels and large archives. Find any moment, in 23 Indian languages and English.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | fullstack.io | deepgrip.ai |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from India · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Fullstack Vue yet.
Deepgrip makes large video archives searchable. It is built for broadcasters, news channels, music labels, OTT platforms and organisations that hold decades of recorded talks. Deepgrip transcribes speech in 23 Indian languages and English, reads what appears on screen, and lets your team find any...
What each product offers, as listed by its team.


Possible disadvantages
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Deepgrip cross-language search: ask in English, find Telugu and Hindi footage
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Fullstack Vue and Deepgrip.
Deepgrip's answer:
Most video tools index files, not moments. Deepgrip is built around frame-accurate retrieval — every spoken sentence, every speaker turn, every named entity becomes searchable. You type what you mean in plain English; Deepgrip returns the exact in/out points and can stitch them into a finished reel in one step.
Deepgrip's answer:
Most alternatives are either video CMS (storage and players) or AI generators (create new clips from prompts). Deepgrip sits in between: it treats your existing archive as a searchable, editable knowledge base. The Compile feature turns a query into a polished highlight reel — title slate, brand outro, and clean cuts — without an editor in the loop.
Deepgrip's answer:
Teams sitting on more video than they can manually navigate: broadcasters, sports rights holders, news organizations, education platforms, podcast networks, and spiritual or institutional archives. Anyone whose archive grows faster than their editorial team can.
Deepgrip's answer:
Deepgrip started as Deeplens — an internal search tool the founding team built for their own video archive, frustrated by how much footage was effectively lost behind weak filenames and slow scrubbing. It grew into a full intelligence layer once speech-entity extraction and frame-accurate clipping became viable, and was renamed Deepgrip in 2026 as a B2B platform for any team with a video library.
Deepgrip's answer:
Deepgrip runs on a cloud-native architecture with a proprietary video intelligence pipeline. It combines speech recognition, speaker identification, entity extraction, and visual understanding through a multi-stage retrieval system tuned for natural-language queries over long-form video archives.
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