Both offer semantic video search. CogniStream delivers frame-level precision, zero egress costs, and faster response times—all free during beta.
Developers often hit these walls. Here's how CogniStream solves them.
Twelve Labs includes some egress in their plans, but heavy usage or enterprise scale means negotiating custom pricing.
Zero egress costs, period. Cloudflare R2 means you never pay for bandwidth, no matter how much you search or stream.
Twelve Labs averages ~200ms response times. Fast, but not instant. For real-time applications, every millisecond counts.
48ms average response time—4x faster. Pre-indexed frame-level data means instant results for interactive experiences.
600 minutes free sounds generous until you're building and testing. Development costs add up quickly.
Unlimited free access during beta. Build, test, and iterate without watching a usage meter.
A direct comparison of features and capabilities.
Our API is designed to be familiar. Most developers are up and running within an hour.
Sign up for CogniStream beta access (completely free)
Export your video index from Twelve Labs or re-upload
Install our Python SDK with similar API patterns
Update your search queries (syntax is nearly identical)
Enjoy faster responses and zero bandwidth costs
Get started with just a few lines of code.
import cognistream
# Initialize client
client = cognistream.Client("your_api_key")
# Upload and index video
video = client.upload("product_demo.mp4")
# Search with natural language
results = video.search("product demo walkthrough")
for match in results:
print(match.timestamp, match.confidence)Free during beta. No credit card required. Start building in minutes.