Skip to main content

What is Cloudglue?

Cloudglue provides APIs that transform video into directly usable multimodal context for the AI applications you’re building. Designed for simplicity, scale, and fidelity, Cloudglue unifies speech, diarization, visual understanding, sound, and on-screen text into simple, composable APIs—so you can enable video Q&A, semantic search, and structured data extraction with full citations in just a few lines of code — without building your own video-understanding stack. Whether you’re developing AI agent workflows, creative tools, or analyzing meeting recordings, Cloudglue makes video queryable and actionable for any AI system. Cloudglue handles the infrastructure so you can focus on building features that matter to your users.

Get Started in 3 Steps

1

Get your API key

Sign up for free and get your API key from the dashboard.
3

Upload video and extract

Upload your first video, then extract structured data or chat across your videos in minutes.

Core Features

Video Document Parsing

Foundational APIs that transform unstructured video and audio into structured, queryable context.

Video Reasoning

Higher-level APIs that enable multimodal search, chat, and reasoning directly over video content.

What Makes Cloudglue Different

  • Multimodal AI: We don’t just transcribe speech — we understand across context including visual content, audio descriptions, on-screen text, and diarization.
    • Prefer speech-only? You can disable multimodality and use transcripts alone.
  • Scale: Built to handle hour-long (or longer) videos, and reason across hundreds or even thousands of videos at once, all using the same simple primitives.
  • Developer-First: Clean APIs, comprehensive SDKs, and tools built for developers.
  • Robust: Designed for production workloads with reliable performance across large video datasets.
  • Real-time Integration: Rich partner ecosystem for building integrations, including MCP server support for direct AI assistant integration.
  • Backed by Research: Cloudglue continuously integrates the latest advancements in multimodal AI—so as foundational models improve, your application also get the latest. Our infrastructure is built and maintained by a team that actively publishes research in large-scale video and audio understanding.

Quick Example

Here’s how easy it is to extract structured data from any video:
from cloudglue import CloudGlue

client = CloudGlue()

# Upload and extract

uploaded = client.files.upload(
'path/to/local/video.mp4',
wait_until_finish=True
)

extraction = client.extract.run(
url=uploaded.uri,
prompt="Extract all speakers and main topics discussed",
schema={"speakers": ["string"], "topics": ["string"]}
)

print(extraction.data)

# {"speakers": ["John Smith", "Sarah Johnson"], "topics": ["AI", "Marketing"]}

Capabilities at a Glance

Collections & Organization

Integrations & Tools

  • MCP Server - Direct integration with Claude Desktop and Cursor
  • Playground - Test and experiment with video processing
  • Schema Builder - Visual tool for creating extraction schemas
  • Webhooks - Real-time processing notifications

Multimodal Understanding

  • Speech Transcription - Accurate speech-to-text with speaker identification
  • Visual Scene Analysis - Detailed descriptions of what’s happening visually
  • Scene Text Recognition - Extract text visible on screen (captions, presentations, etc.)
  • YouTube Integration - Process videos directly from YouTube URLs
  • Audio Description - Extract audio descriptions from video content
  • Face Detection and Matching - Find videos with a given face

Next Steps

Choose your path based on what you want to accomplish:

Resources