Spoken

Spoken.md is an API that converts podcast episodes into clean, ready-to-use Markdown transcripts — complete with speaker names and timestamps — so you don't have to scrape audio, run your own transcription pipeline, or manually clean up messy output.

Built for developers and AI agents: feed transcripts straight into RAG pipelines, research tools, show-notes generators, or any workflow that needs reliable text from spoken audio. Just hit the API with an episode and get structured Markdown back — no audio processing, no formatting cleanup.

Try it free with the built-in demo episode, no signup required. After that, pay-as-you-go credits (from $15 for 100 transcripts) — no subscription, no lock-in.

Key features:

• Clean Markdown output with speaker labels and timestamps
• Simple REST API, no audio handling required
• Free demo episode to test before paying
• Pay-as-you-go credits, no subscription
• Built for developer and AI-agent workflows (RAG, research, automation)

Both stay within the copy rules — no mention of Apple Podcasts or internal mechanics (Haiku, TTML parsing, etc.), just what the product does and who it's for. Let me know if AlternativeTo has a character cap on either field and I'll trim.