Media companies spend hours manually searching footage. CogniStream indexes every frame so editors, producers, and journalists can find exactly what they need in seconds.
Real-world applications powered by intelligent video search.
Search thousands of hours of footage with natural language. Find 'sunset over ocean' or 'crowd cheering' instantly without scrubbing through timelines.
Transform your archive into a searchable B-roll library. Editors query for specific shots and get timestamped results in milliseconds.
Journalists search historical footage by topic, person, or event. Pull relevant clips for stories without manual catalog diving.
Automatically find highlight-worthy moments across your library. Create compilations, trailers, and social cuts faster.
Auto-tag new uploads with semantic metadata. Build a self-organizing video library that grows smarter over time.
License specific moments from your archive. Buyers search and preview clips, you fulfill requests automatically.
A simple workflow that fits into your existing pipeline.
Upload your video library via API or bulk import
CogniStream indexes every frame with multimodal AI
Search with natural language queries
Get timestamped results with confidence scores
Features designed specifically for your industry needs.
Every single frame is indexed and searchable. Find the exact moment the goal was scored, not just 'somewhere in the second half'.
Search like you think. 'Red car driving through rain' works just as well as structured metadata queries.
Multimodal embeddings understand both what's shown and what's said. Search spoken content and visual elements together.
Generate shareable clips directly from search results. No re-encoding required—dynamic HLS manifests serve exact timestamp ranges.
Simple Python SDK for powerful video search.
import cognistream
# Connect to your video library
library = cognistream.Library("media_archive")
# Search across all videos
results = library.search(
"aerial shot of city at sunset",
limit=10
)
# Get clip URLs for each result
for match in results:
clip_url = match.get_clip(duration=10)
print(match.video_name, match.timestamp)Free during beta. No credit card required. Start building in minutes.