Transcribe
Any episode becomes clean, structured, searchable text — and every transcription enriches the shared library.
Case study · AI product in production
AudioAsk
Audio knowledge, as accessible as text. Transcription, search, AI answers with timestamped citations — podcasts become a usable library.
The problem
Podcasts have become one of today's richest formats: interviews, analyses, lessons learned, debates. But that knowledge stays trapped in audio — impossible to search, hard to quote, slow to use. Ten hours of listening to find three useful minutes.
AudioAsk starts from that observation: make audio as workable as text, without sacrificing the source. Every answer points back to the exact spot in the episode where it was said — timestamped, verifiable.
What the product does
Ask
Ask a question: the AI answers with timestamped citations you can verify in one click inside the episode.
Automate
Follow your shows: every new episode is transcribed, analyzed following your instructions, and the result lands in your inbox.
Translate
Knowledge has no language barrier: transcriptions and answers in yours.
Where it stands
In production, open to the public: a free plan to get started, paid plans up to €19/month for heavy use. The web app is complete; the mobile app is in the works (App Store / Google Play).
AudioAsk is a product of Natives Sàrl, the company I co-founded in Geneva.