Revolutionize transcription with unmatched accuracy, speed, and language support.
spoken.md
API that fetches podcast transcripts as searchable Markdown with speaker names and timestamps
About spoken.md
spoken.md is an API that provides podcast transcripts as structured Markdown text. Users can search for episodes by title, guest, or a URL from Spotify, YouTube, or other podcast platforms. The API returns full transcripts with real speaker names and timestamps, avoiding generic labels like “Speaker 1.” Transcripts are provided in the original language of the recording, supporting multiple languages including Italian, German, Spanish, French, and Portuguese. The service operates on a credit system where one credit is consumed per episode fetched, regardless of length. Users can list all episodes of a show for free, then fetch transcripts individually. A scheduled polling endpoint helps keep archives current by listing new episodes since the last fetch. The API is designed for integration with knowledge bases, LLMs, or agent frameworks like Claude Code or Cursor.
Key features
- Search episodes by title, guest, or URL
- Fetch full transcripts as Markdown with speaker names
- List all episodes of a show for free
- Poll for new episodes since last fetch
- Multi-language transcript support
- Integration with agent frameworks via OpenAPI spec
- MCP server for local clients
- Real-time credit tracking and usage reporting
Use cases
- Building searchable podcast archives for research or knowledge bases
- Integrating podcast content into AI agents or LLMs
- Automating transcription workflows for content creators
Pros
- Returns transcripts as Markdown with resolved speaker names and timestamps
- Supports multiple languages including Italian, German, Spanish, French, and Portuguese
- Free search and metadata listing before any purchase
- Credits never expire and errors are not charged
- Designed for integration with LLMs and agent frameworks
Cons
- No free tier for transcript fetching, only metadata
- Limited to podcasts that publish transcripts
- Requires API key and credit system for access
- Availability varies by episode rather than by language
Frequently asked questions about spoken.md
What does spoken.md do?
spoken.md is a podcast transcript API that converts episodes into structured Markdown text with real speaker names and timestamps. It allows users to search for episodes by title, guest, or URL and fetch full transcripts in the original language of the recording.
Who is spoken.md designed for?
The tool is designed for developers, researchers, and AI agents who need searchable podcast archives for integration with knowledge bases, LLMs, or agent frameworks like Claude Code or Cursor.
How does the pricing model work?
Pricing is based on a credit system where one credit is consumed per episode fetched, regardless of length. Users can check the episode count of a show for free before purchasing credits, and credits never expire.
Does spoken.md support multiple languages?
Yes, transcripts are provided in the original language of the recording, supporting languages such as Italian, German, Spanish, French, and Portuguese. Availability varies by episode rather than language.
Can I integrate spoken.md with AI agents or LLMs?
Yes, spoken.md offers an OpenAPI spec, an MCP server, and an agent skill for frameworks like Claude Code, Cursor, and Windsurf, enabling seamless integration with AI agents and LLMs.
What happens if I fetch an episode I already pulled?
Fetching an episode you already pulled is never charged again, ensuring you only pay for new transcripts.
spoken.md traffic & engagement
spoken.md · third-party estimates from Similarweb
Traffic trend
Last 4 months · grows by one month every month
- Jun 20261.9K
- Jul 20262.9K+53%
- Aug 20264.6K+56.7%
- Sep 20266.5K+42.7%
Where visitors come from
Share of visits by channel
No measurable traffic from Social, Paid Referrals or Search.
Top countries
Share of visits · estimated visits
Compared with similar tools
Audio & Voice · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.