Podcasts hold some of the most valuable spoken knowledge on the internet, and almost none of it is reachable by software. The audio is scattered across feeds, the transcripts are missing or locked away, and every team that wants to build on top of it ends up rebuilding the same pipeline of scraping, storage, and transcription.

Audiogram API exists to remove that work. We give developers and AI agents a single, reliable surface to search the podcast catalog, ingest the episodes they care about, and pull clean transcripts back. It speaks the Model Context Protocol so agents can use it directly, and REST so your backend can too.

What we believe

• Audio should be a first-class data source. Text has APIs. Speech deserves the same.
• Agents are users too. The interface is designed to be called by software, with clear flags, predictable limits, and honest errors.
• Plumbing should be invisible. You should never have to think about where the mp3 lives or which model transcribed it.

Get in touch

Building something with spoken audio? We would love to hear about it. Reach us at hello@getaudiogram.com.