Spoken

Spoken provides a dedicated API service that converts podcast episodes into clean, structured Markdown text specifically designed for integration with AI agents, summarization tools, and search applications. The core function is straightforward: by making a single API call, users can retrieve any podcast episode as a Markdown document with accurate speaker attribution—displaying real speaker names instead of generic labels like "Speaker 1." This eliminates the need for manual transcription or audio processing, allowing developers to unlock the textual content of podcasts for downstream tasks. Spoken's API is built for flexibility and developer convenience. It supports both searching for specific episodes and direct retrieval via an API key. The service offers a transparent pricing model: 500 transcripts for $50 ($0.10 per transcript) or 100 for $15. Credits never expire, and errors are never charged—if a request fails, users aren't billed. Setup is rapid: an API key is delivered instantly, and the first transcript is available in under 30 seconds without any signup or subscription required. Developers can test the API immediately using the demo key `pt_demo` on any endpoint. The primary use case is enabling AI agents to process audio content that they cannot otherwise access. For example, an agent can be augmented to read, summarize, or search through podcast transcripts during conversations. Additional applications include building RAG (Retrieval-Augmented Generation) pipelines where podcast knowledge is indexed and retrieved, creating custom podcast summarization tools, or integrating podcast content into note-taking and research workflows. The service supports over 2,700 transcripts fetched by developers (as of May 2026), indicating active usage in real-world project