Prompt
speaker diarization api
Latest observation
If you want a speaker diarization API, here are the main options depending on your needs:
Popular hosted APIs
- AssemblyAI — easy to use, good diarization support
- Deepgram — real-time + batch transcription with diarization
- Speechmatics — strong multilingual support
- Google Cloud Speech-to-Text — has speaker diarization
- AWS Transcribe — supports speaker labels
- Azure Speech to Text — speaker diarization / conversation transcription
- Rev AI — transcription with diarization
Open-source / self-hosted
- pyannote.audio — one of the best open-source diarization toolkits
- Whisper + pyannote — common combo for transcription + diarization
- NVIDIA NeMo — strong research-grade toolkit
If you want to build it yourself
A typical pipeline is:
- VAD (voice activity detection)
- Speaker embedding extraction
- Clustering to group speaker segments
- Optional ASR for transcript alignment
Quick recommendation
- Fastest to integrate: AssemblyAI or Deepgram
- Best open-source: pyannote.audio
- Enterprise/cloud: Google, AWS, Azure
If you want, I can also give you:
- a comparison table,
- sample API code, or
- the best API for your specific use case.
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.