
At pyannoteAI, we envision a future where every spoken word gains shape – where conversations no longer vanish into the ether but become structured, searchable, and alive with context. Our mission is to translate the raw rhythm of human speech into precise, actionable insights, empowering organizations, researchers, and creators to harness the full depth of audio and video interactions. We believe in a world where intelligent systems listen not just to what is said, but who is speaking, when, and how meaning evolves over time.
Powered by open-source collaboration and sophisticated neural architectures for speaker diarization, voice profiling, and contextual tagging, our platform adapts to diverse challenges across research, enterprise, and creative projects. Beyond developing algorithms, we cultivate a transparent ecosystem where reproducible pipelines, privacy-aware practices, and shared datasets accelerate collective progress. By honoring the nuances of conversation, pyannoteAI is crafting a future in which technology amplifies human connection.
Speaker diarization (who spoke when)
Automatic speech recognition integration
Speaker embedding extraction
Pre-trained and open-source models
API for building speech analysis applications