Prompt
I'm building a support dashboard and need real-time transcription for calls. What API should I use?
Latest observation
For real-time call transcription in a support dashboard, the best fit is usually the OpenAI Realtime API.
Why use it
- Low-latency streaming transcription as audio arrives
- Works well for live support calls
- Can also power live summaries, sentiment, and agent assist in the same pipeline
- Supports audio input over WebRTC or WebSocket, which is useful for browser-based dashboards
Typical setup
- Capture call audio from your VoIP/contact-center stack
- Stream it to the Realtime API
- Receive partial and final transcripts in real time
- Show transcripts in your dashboard and optionally trigger actions like:
- keyword alerts
- QA notes
- escalation detection
- suggested replies
If you only need speech-to-text
If you don’t need live interaction and just want transcription from recorded audio, use the Speech-to-Text / Transcription API instead.
Practical recommendation
- Live calls + dashboard: Realtime API
- Recorded calls / batch jobs: Transcription API
If you want, I can also sketch a reference architecture for a support dashboard or give you a sample WebRTC/WebSocket implementation.
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?
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