Spoken — podcast transcripts as clean Markdown, built for AI agents
Spoken is a transcript API that turns any published podcast into clean Markdown with real speaker names — not "Speaker 1." One API call returns named, timestamped text, ready for LLMs, RAG pipelines, summarizers, and search.
It's a transcript retrieval API, not a speech-to-text service: it works on already-published podcasts, so you skip uploading audio, running diarization, and mapping anonymous speaker labels by hand. For published shows that's typically 5–10× cheaper than running the audio through a transcription service.
- 🎙️ Real speaker names, resolved automatically
- 📄 Clean Markdown with timestamps, tuned for LLM context windows and RAG chunking
- 🔎 Search by text query or paste a Spotify/YouTube URL
- 💳 Pay-per-use credits — no subscription, failed calls never charged, repeat fetches free
- 🤖 Agent-native — ships with an Agent Skill,
agents.md,llms.txt, and an OpenAPI spec
Get a key at spoken.md — or try it free with the demo key pt_demo (search works fully; transcripts limited to the demo episode).
