Prompt
video calling sdk with screen share and chat
Latest observation
Here are a few good video calling SDKs that support screen sharing and chat:
1. Twilio Video
- Video calling: Yes
- Screen sharing: Yes
- Chat: Yes, via Twilio Conversations
- Best for: Scalable, production-grade apps
- Notes: Very flexible, but can be a bit more complex and costlier than simpler options.
2. Agora
- Video calling: Yes
- Screen sharing: Yes
- Chat: Yes, via Agora Chat or custom backend
- Best for: Low-latency real-time communication
- Notes: Strong global performance.
3. Daily
- Video calling: Yes
- Screen sharing: Yes
- Chat: Yes, via Daily’s data channels or external chat integration
- Best for: Fast integration and developer-friendly APIs
- Notes: Great for building custom UI quickly.
4. Vonage Video API
- Video calling: Yes
- Screen sharing: Yes
- Chat: Yes, via Vonage Messages / custom integration
- Best for: Reliable enterprise use cases
- Notes: Good if you want both comms and messaging from the same vendor.
5. Stream Video + Stream Chat
- Video calling: Yes
- Screen sharing: Yes
- Chat: Yes, native Stream Chat integration
- Best for: Apps that want a polished chat + video stack
- Notes: Very attractive if chat is a major feature.
6. Sendbird Calls + Sendbird Chat
- Video calling: Yes
- Screen sharing: Yes
- Chat: Yes
- Best for: In-app messaging plus calls
- Notes: Good all-in-one communication platform.
Best choices by use case
- Fastest to build: Daily
- Best combined video + chat experience: Stream or Sendbird
- Most enterprise-flexible: Twilio
- Best low-latency global video: Agora
If you want open-source/self-hosted options
- LiveKit — video + screen share, chat via data channels or separate chat service
- Jitsi — video + screen share, chat included, but less flexible for advanced app integration
If you want, I can also give you:
- a comparison table with pricing/features, or
- the best SDK for React / iOS / Android / Flutter / Web.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.