Students shouldn't have to rewatch entire videos to find one explanation. CogniStream makes educational content instantly searchable with natural language.
Real-world applications powered by intelligent video search.
Students search for specific topics across entire course libraries. 'Explain photosynthesis' returns the exact timestamp where the concept is taught.
Automatically generate chapter markers and topic indexes from video content. Create navigable study materials without manual timestamps.
Identify which concepts students revisit most. Understand where learners struggle and improve content accordingly.
Search works across audio transcriptions too. Students can find content whether it was shown visually or explained verbally.
Build a searchable knowledge base across all courses. Cross-reference topics taught in different classes or semesters.
Students preparing for exams search for specific problems, examples, or explanations. Study time becomes dramatically more efficient.
A simple workflow that fits into your existing pipeline.
Upload course videos via API or LMS integration
AI indexes visual content and transcribes audio
Students search with natural language queries
Results link directly to relevant video moments
Features designed specifically for your industry needs.
Search for concepts, not just keywords. 'How to solve quadratic equations' finds relevant explanations even if those exact words weren't used.
Index and search content in 100+ languages. Perfect for international institutions or language learning platforms.
Find content whether it was spoken, written on a whiteboard, or shown in a slide. Multimodal search covers all teaching methods.
RESTful API integrates with any learning management system. Add intelligent search to Canvas, Moodle, or custom platforms.
Integrate intelligent video search into any LMS.
import cognistream
# Initialize your course library
course = cognistream.Course("intro_biology_101")
# Student searches for a concept
results = course.search(
"explain how mitochondria produce ATP"
)
# Return timestamped results
for match in results:
print(f"Lecture: {match.video_title}")
print(f"Jump to: {match.timestamp}")
print(f"Confidence: {match.confidence}%")Free during beta. No credit card required. Start building in minutes.