Cloudglue
The API to structure, search, and reason over video context for developers.
Freemium
Description
Cloudglue provides developers with a powerful API to convert video and audio content into structured data, making it easy to build applications that understand and reason over videos. With fast processing, seamless integration, and advanced multimodal understanding, Cloudglue simplifies extracting meaningful context from large video libraries for AI-driven solutions.
Designed for scalability and production readiness, Cloudglue ensures organizations can efficiently analyze, search, and interact with video content, turning footage, screen recordings, and sales calls into valuable, queryable resources for large language models and AI agents.
Key Features
- Chatbot and RAG across videos: Enables chat and question answering over video content with playable citations
- Aggregate video analysis: Runs large-scale analytics and generates reports from thousands of hours of video
- Schema and entity extraction: Defines schemas and extracts entities consistently across video collections
- Video segment search: Quickly finds and retrieves relevant video segments or entire videos at scale
- Video-native API: Purpose-built API designed specifically for video content understanding
- AI agent native: Works seamlessly with AI agents to provide rich video context
- Fast indexing and processing: Processes hours of video in minutes with rapid search and response times
- State-of-the-art multimodal understanding: Continuously upgraded models ensure cutting-edge video comprehension
- Effortless setup: Minimal code required for integration, reducing infrastructure complexity
- Production-ready scalability: Enterprise-level reliability and readiness for large-scale deployments
Use Cases
- Powering chatbots to answer questions over video libraries
- Analyzing and generating reports from large video datasets
- Extracting structured entities and data for compliance or analytics
- Searching and retrieving relevant video clips or segments efficiently
- Turning internal sales calls, screen recordings, and footage into LLM-ready data
- Building RAG systems over company video archives
- Indexing video content for enterprise knowledge management
- Automating summarization and extraction tasks on video meetings
