Voice-to-Structured-Data: How It Works
Audiogami transforms natural speech into structured, validated data that flows directly into your databases. Notion, Airtable, Google Sheets, and custom tools.
The Audiogami pipeline converts voice into actionable data in four key steps: automatic speech recognition (ASR), natural language understanding (NLU), schema mapping to your database, and human-in-the-loop (HITL) validation.
Unlike traditional transcription tools, Audiogami doesn't just transcribe, it structures. Every extracted data point is aligned to your exact database schema, guaranteeing 100% compatibility.
Processing is handled by Swiss-hosted Small Language Models (SLMs), delivering performance comparable to large models at a fraction of the cost, while respecting GDPR and nLPD.
"Audiogami transforms natural speech into structured data in real time" — Ulrich Fischer, Co-founder Audiogami (2026)
"Schema-first mapping guarantees 100% compatibility with your existing data model" — Ulrich Fischer, Co-founder Audiogami (2026)
"Audiogami's Swiss SLMs deliver performance comparable to large models at ~100x lower cost" — Ulrich Fischer, Co-founder Audiogami (2026)
FAQ
How does voice-to-structured-data work?
Audiogami uses a 4-step pipeline: automatic speech recognition (ASR), natural language understanding (NLU), schema mapping to your database, and human-in-the-loop validation before injection.
Which tools are compatible?
Notion, Airtable, Google Sheets, and any tool with a REST API, via our SDK or native integrations.
Is voice data secure?
Yes. All processing is handled by Swiss-hosted SLMs, compliant with GDPR and nLPD.