Search your media archive
like a database

Search your media archive
like a database

Turn raw video into indexed moments instantly

Add new indexes without affecting previous one

Precise clip retrieval along with expanded recall

Deep Search for Movies

Deep Search for Movies

A research agent that finds precise moments, themes, and evidence across full length films with playable results.

A research agent that finds precise moments, themes, and evidence across full length films with playable results.

Build search the way you want
Build search the way you want

Extraction & tagging

Prompt driven detection for objects, actions, people, and emotions. Generate clean tags and moments you can filter, search, and trigger on.

Extraction & tagging

Prompt driven detection for objects, actions, people, and emotions. Generate clean tags and moments you can filter, search, and trigger on.

Extraction & tagging

Prompt driven detection for objects, actions, people, and emotions. Generate clean tags and moments you can filter, search, and trigger on.

Multimodal Indexing & Retrieval

Rapidly index and retrieve spoken and visual content in TBs of video footage

Multimodal Indexing & Retrieval

Rapidly index and retrieve spoken and visual content in TBs of video footage

Multimodal Indexing & Retrieval

Rapidly index and retrieve spoken and visual content in TBs of video footage

Dynamic Streams

Edit, modify and personalize video streams in real time.

Dynamic Streams

Edit, modify and personalize video streams in real time.

Dynamic Streams

Edit, modify and personalize video streams in real time.

Quickstart with a few lines

Quickstart with a few lines

Index objects, faces, locations, and dialogue across your videos.

Index objects, faces, locations, and dialogue across your videos.

Index objects, faces, locations, and dialogue across your videos.

Organize everything into Collections for archive-scale retrieval.

Organize everything into Collections for archive-scale retrieval.

Organize everything into Collections for archive-scale retrieval.

Search within a single video or across an entire collection.

Search within a single video or across an entire collection.

Search within a single video or across an entire collection.

Bring your own metadata and annotations to improve precision and filtering.

Bring your own metadata and annotations to improve precision and filtering.

Bring your own metadata and annotations to improve precision and filtering.

Python

from videodb import IndexType
from videodb import SceneExtractionType
 
# index the video 
index_id = video.index_scenes(
    extraction_type=SceneExtractionType.time_based,
    extraction_config={"time":10, "select_frames": 4},
    prompt="describe the scene in 100 words",
    callback_url=callback_url,
    metadata={"category": "news", "topic": "people"},
)


# search your video collection with index_id, 
res = coll.search(query="religious gathering", 
                filter=[{"category": "news"}],
                score_threshold: 10.2
                dynamic_score_percentage: 0.2
                  )
res.play()
from videodb import IndexType
from videodb import SceneExtractionType
 
# index the video 
index_id = video.index_scenes(
    extraction_type=SceneExtractionType.time_based,
    extraction_config={"time":10, "select_frames": 4},
    prompt="describe the scene in 100 words",
    callback_url=callback_url,
    metadata={"category": "news", "topic": "people"},
)


# search your video collection with index_id, 
res = coll.search(query="religious gathering", 
                filter=[{"category": "news"}],
                score_threshold: 10.2
                dynamic_score_percentage: 0.2
                  )
res.play()

Purpose-built for media and entertainment workflows

Purpose-built for media and entertainment workflows

Find all wide shots of the kitchen in S03E05–E08 where the brand logo is visible.

Pull every tight shot of #10 celebrating, then compile a sponsor‑safe, 30‑sec social cut.

Show me the clip where the mayor addresses the crowd and the cutaway to the banner.

Show all moments where our logo or product appears on screen across campaigns.

Locate every clip explaining Newton’s Laws across our science catalog for a new short.

Find all wide shots of the kitchen in S03E05–E08 where the brand logo is visible.

Pull every tight shot of #10 celebrating, then compile a sponsor‑safe, 30‑sec social cut.

Show me the clip where the mayor addresses the crowd and the cutaway to the banner.

Show all moments where our logo or product appears on screen across campaigns.

Locate every clip explaining Newton’s Laws across our science catalog for a new short.

Productions & OTT

Find all wide shots of the kitchen where the brands logo is visible.

Sports Media

Pull every tight shot of #10 celebrating, and then compile a 20 seconds cut for social media

News & Press

Show me the clip where the mayor addresses the crowd.

Brands & Agencies

Show all moments where our logo or product appears on screen across campaigns.

Education & Learning

Locate every clip explaining Newton’s Laws across our science catalog for a new short

Build Search with Experts

Build Search with Experts

Our team includes former search leaders from Apple and Comcast.

Our team includes former search leaders from Apple and Comcast.

The Perception Layer for AI

Apt 2111 Lansing Street San Francisco, CA 94105 USA

HD-239, WeWork Prestige Atlanta, 80 Feet Main Road, Koramangala I Block, Bengaluru, Karnataka, 560034

sales@videodb.com

The Perception Layer for AI

Apt 2111 Lansing Street San Francisco, CA 94105 USA

HD-239, WeWork Prestige Atlanta, 80 Feet Main Road, Koramangala I Block, Bengaluru, Karnataka, 560034

sales@videodb.com

The Perception Layer for AI

Apt 2111 Lansing Street San Francisco, CA 94105 USA

HD-239, WeWork Prestige Atlanta, 80 Feet Main Road, Koramangala I Block, Bengaluru, Karnataka, 560034

sales@videodb.com