Build low-latency Vision AI applications using our new open-source Vision AI SDK. ⭐️ on GitHub ->
Powered by a globally distributed edge architecture, benchmarked for sub-second latency.
Stream handles video complexity, maintains modern SDKs, and provides the native Chat integration, so your team can ship video calling and livestreaming in hours, not months.
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Stream’s Video API & developer-friendly SDKs are purpose-built to power video calling and livestreaming with low latency and consistent quality.
Stream re-architects WebRTC for large, real-time sessions by eliminating peer-to-peer bottlenecks and optimizing for low-latency delivery.
A globally distributed SFU architecture with intelligent cascading reduces complexity and enables video calls and livestreams for thousands of participants.
Stream’s video stack is built to be flexible, so you can move fast, customize freely, and scale without limits.
Build voice agents using our out-of-the-box support for OpenAI Realtime or Gemini Live, and the second allows for a more traditional Speech-to-Text (STT) -> LLM -> Text-to-Speech (TTS) pipeline.
An open-source Video AI framework that ships with Stream Video as its default low-latency transport and is powered by our global edge network, but also allows developers to bring any edge layer they like.
Build in-app video calling in days. Stream runs hundreds of servers around the world, so you can focus on what’s unique to your app. Start small and scale to millions of users.
Whether you need simple 1:1 calls or a feature-rich experience like Telegram, Stream delivers crystal-clear audio with unmatched reliability and scale.
Build ultra-low-latency live streaming supported by Stream's global edge network to broadcast from your phone or RTMP and scale to millions of participants.
Add live audio to your app, from simple calls to full-featured spaces like Twitter. Stream delivers superior quality, reliability, and scale—no trade-offs required.
From direct calls to meetings with multiple participants, our video SDK is ready for any video or audio use case.
Broadcast to over 100k participants with high quality and low latency.
Optimize the quality of your calls and costs with adaptive resolution that adjusts to network and client conditions.
Improve the user experience by eliminating background noises, voices, and echo.
Safely record calls to Stream or external storage systems. Multiple resolutions are available.
Transcribe your calls to multiple languages.
If you’re ready to explore how Stream Video can power your app with high-quality, low-latency video calling, fill out the form, and our team of experts will contact you shortly.
Yes. Stream’s video infrastructure is distributed across global edge locations to deliver ultra-low latency and higher reliability, even at scale.
We offer client SDKs for Python AI, React, React Native, iOS, Android, Flutter, and more. You can build with or without our prebuilt UI kits.
Yes. Stream supports livestreams with 100k+ viewers using RTMP ingest and HLS playback, with WebRTC for low-latency interactions.
You can integrate Stream's AI Moderation API to gain greater control over live video content.
Yes. Stream is SOC2, ISO 27001, HIPAA, and GDPR compliant. We also support SAML/SSO, audit logs, and multi-tenant architectures for enterprise use.
Yes. Stream provides both prebuilt components for speed and low-level primitives for full customization.
Yes. Stream’s APIs are designed to work together seamlessly. You can combine Video with Chat for in-call messaging, Feeds for activity updates, and Moderation for real-time content safety—all within the same app experience.
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