Your agent can browse the web, read docs, and write code — but it can't listen to podcasts. All that insight, locked in audio files. Give it any episode as clean Markdown, with real speaker names, in one API call.
pt_demo with any endpoint. No signup needed.
You started building a podcast tool — and spent a week on infrastructure instead of your product.
spoken.md replaces that entire pipeline with one API call. You get speaker-labeled Markdown with real names — ready for your LLM's context window.
Figuring out who is speaking is harder than transcribing the words. Most tools punt on this — you get "Speaker 1" and "Speaker 2" and a manual cleanup step.
Speaker 1 (0:00)
Welcome to the podcast, where we discuss science and science-based tools for everyday life.
Speaker 2 (0:45)
Thank you for having me. Sleep is one of those things where small changes can have outsized effects.
**Andrew Huberman** (0:00)
Welcome to the podcast, where we discuss science and science-based tools for everyday life.
**Matt Walker** (0:45)
Thank you for having me. Sleep is one of those things where small changes can have outsized effects.
No post-processing, no manual cleanup, no guessing.
Two API calls. Search by text or paste a URL from Spotify, YouTube, or any podcast app — then fetch the full transcript.
# 1. Search for an episode
curl -H "x-api-key: pt_demo" \
https://spoken.md/search?q=huberman+sleep
# 2. Get the transcript
curl -H "x-api-key: pt_demo" \
https://spoken.md/transcripts/1000651996090Response is text/markdown with speaker names and credit info in headers:
**Andrew Huberman** (0:00)
Welcome to the Huberman Lab podcast,
where we discuss science and science-based
tools for everyday life. Today my guest is
Dr. Matt Walker, professor of neuroscience
at UC Berkeley and author of Why We Sleep.
**Matt Walker** (0:45)
Thank you for having me, Andrew. Sleep is
one of those things where small changes to
your routine can have outsized effects on
both mental and physical health.
...Seen enough? Your key is ready in 30 seconds.
# Agent skill (Claude Code, Cursor, Windsurf, etc.)
npx skills add https://spoken.md
# OpenAPI spec — works with any agent framework
https://spoken.md/.well-known/openapi.json
# llms.txt — automatic LLM discovery
https://spoken.md/llms.txt$0.15 per transcript
$0.10 per transcript save 33%
$0.08 per transcript save 47%
For scripts & back-catalogues
Credits never expire. Errors are never charged. If it doesn't work, you don't pay.
Each transcript replaces ~$1 of transcription infrastructure — Deepgram runs $0.46/hr for audio of similar length, before adding speaker identification. No subscription, no overage charges, no annual commitment.
Already have a key? Top up here — or your agent can do it automatically via the API.
spoken.md works with any podcast episode. Search by text or paste a URL from Spotify, YouTube, or any podcast app to find episodes.
Speaker names are detected automatically by analyzing the transcript for name mentions — no manual lookup table or post-processing required. When real names cannot be determined from context, labels like "Host" or "Guest" are used as fallbacks.
Transcripts are returned as clean Markdown with speaker names in bold and timestamps per turn. A typical one-hour podcast episode produces 8,000–15,000 tokens — sized to fit in most LLM context windows in a single call. No proprietary markup, no timing artifacts, no post-processing needed.
Yes. Install the agent skill with npx skills add https://spoken.md, use the OpenAPI spec for any agent framework, or make a plain HTTP call — anything that can hit an API works.
Yes. Use the demo key pt_demo with any endpoint — no signup or payment needed. The demo key returns a full transcript for a sample episode so you can evaluate the format and quality before purchasing.
Paste your API key in the top-up form above, or let your agent handle it — the API response includes a top-up link when credits run out.
Transcripts start at $0.15 each (100-pack for $15), with volume discounts: 500 for $50 ($0.10 each) or 2,000 for $160 ($0.08 each). Returning customers get lower top-up rates. Errors (404, 502) are never charged. No subscription — credits never expire.
Browse transcripts from popular shows:
Example transcripts by podcast →
From $0.08/transcript. No subscription, no expiry. Try with pt_demo first.