Speaker Intelligence Platform that decodes voice interaction
Deliver accurate speaker metadata to every layer of the Voice AI stack, so it doesn’t fail in production
Speaker Intelligence Platform that decodes voice interaction
Deliver accurate speaker metadata to every layer of the Voice AI stack, so it doesn’t fail in production
Speaker Intelligence Platform that decodes voice interaction
Deliver accurate speaker metadata to every layer of the Voice AI stack, so it doesn’t fail in production
+330K developers
Billions of audio hours processed
Drop-in API integration
Understand real-world conversation
No credit card required
Our Platform
Transform raw audio into structured, reusable building blocks
Transform raw audio into structured, reusable building blocks
pyannoteAI provides a speaker intelligence layer that makes voice AI systems reliable in production.
pyannoteAI provides a speaker intelligence layer that makes voice AI systems reliable in production.
Our background
Research-backed, production-ready AI models
Research-backed, production-ready AI models
pyannoteAI is built on 12 years of speech processing and speaker diarization research. Our models have been open source since 2016, and have surpassed 1 billion downloads on Hugging Face.
pyannoteAI is built on 12 years of speech processing and speaker diarization research. Our models have been open source since 2016, and have surpassed 1 billion downloads on Hugging Face.
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# download pretrained pipeline from Huggingface
from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained('pyannote/speaker-diarization-community-1', token="HUGGINGFACE_TOKEN")
# perform speaker diarization locally
output = pipeline('/path/to/audio.wav')
# enjoy state-of-the-art speaker diarization
for turn, speaker in output.speaker_diarization:
print(f"{speaker} speaks between t={turn.start}s and t={turn.end}s")
Open source roots
Community-1
Open-source, community-supported model. Widely adopted for research and development.
State-of-the-art
Precision-3
Higher accuracy, advanced controls and features, and enterprise-grade infrastructure for production teams.
12K
GitHub Stars
1B+
Hugging Face Downloads
375K
users worldwide
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# download pretrained pipeline from Huggingface
from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained('pyannote/speaker-diarization-community-1', token="HUGGINGFACE_TOKEN")
# perform speaker diarization locally
output = pipeline('/path/to/audio.wav')
# enjoy state-of-the-art speaker diarization
for turn, speaker in output.speaker_diarization:
print(f"{speaker} speaks between t={turn.start}s and t={turn.end}s")
Open source roots
Community-1
Open-source, community-supported model. Widely adopted for research and development.
State-of-the-art
Precision-3
Higher accuracy, advanced controls and features, and enterprise-grade infrastructure for production teams.
12K
GitHub Stars
1B+
Hugging Face Downloads
375K
users worldwide
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# download pretrained pipeline from Huggingface
from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained('pyannote/speaker-diarization-community-1', token="HUGGINGFACE_TOKEN")
# perform speaker diarization locally
output = pipeline('/path/to/audio.wav')
# enjoy state-of-the-art speaker diarization
for turn, speaker in output.speaker_diarization:
print(f"{speaker} speaks between t={turn.start}s and t={turn.end}s")
Open source roots
Community-1
Open-source, community-supported model. Widely adopted for research and development.
State-of-the-art
Precision-3
Higher accuracy, advanced controls and features, and enterprise-grade infrastructure for production teams.
12K
GitHub Stars
1B+
Hugging Face Downloads
375K
users worldwide
Built for production workloads
Built for production workloads
pyannoteAI's architecture meets the security, compliance, and operational requirements of enterprise teams.
pyannoteAI's architecture meets the security, compliance, and operational requirements of enterprise teams.
API
API
On-Premise
On-Premise
On-Device (by Argmax)
On-Device (by Argmax)
Speaker Intelligence features
Speaker Intelligence features
Speaker and conversation insights through a single API.
Built on the world's most accurate speaker diarization models.
Speaker and conversation insights through a single API. Built on the world's most accurate speaker diarization models.
Speaker Diarization
Identifies and labels each speaker in multi-participant audio.
Overlapping Speech Detection
Detects and attributes overlapping speech to the correct speakers.
STT Orchestration
Combines diarization and transcription for speaker-attributed transcripts.
Voiceprint
Identifies specific individuals across sessions using voice biometric signatures.
Confidence Scores
Identifies complex segments for quality control.
Speaker Separation (Soon)
Cleanly separates speakers in overlapping speech
Built for developers
Integrate state-of-the-art speaker intelligence into your stack in minutes.
Compatible with any tech stack. No AI expertise required, no setup costs. Just call the API and build.
Built for developers
Integrate state-of-the-art speaker intelligence into your stack in minutes.
Compatible with any tech stack. No AI expertise required, no setup costs. Just call the API and build.
curl
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Curl --request POST
--url https://api.pyannote.ai/v1/diarize \
--header ‘Authorisation: Bearer <token>’ \
--data ‘{
“url”: "https://files.pyannote.ai/marklex1min.wav",
}’
Curl --request POST
--url https://api.pyannote.ai/v1/diarize \
--header ‘Authorisation: Bearer <token>’ \
--data ‘{
“url”: "https://files.pyannote.ai/marklex1min.wav",
}’