Spoken

Spoken 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, add it as an MCP server with npx spoken-mcp (Claude Desktop, Cursor, Cline, etc.), 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.