Podcast Transcripts API for Agents (spoken.md)

A new API called spoken.md has been launched, designed to provide streamlined podcast transcripts labeled with speaker names in a clean Markdown format. With a simple API call costing $0.10 per transcript, users can efficiently retrieve transcripts without the hassle of scraping, guessing speaker labels, or cleaning up timing artifacts that could disrupt the context window of language models (LLMs). The API allows users to search for specific podcast episodes by text or URL from platforms like Spotify or YouTube, returning transcripts that are ready for use in AI applications. This tool is significant for the AI/ML community, as it directly addresses common challenges in working with audio data by optimizing the transcript format for LLM context use. When transcripts include real speaker names or default labels like "Host" or "Guest," they enhance the clarity and usability of conversational data for AI agents. Additionally, the API offers robust integration features with an OpenAPI specification and machine-readable error responses, streamlining the process for developers and researchers interested in leveraging podcast content for various AI-driven applications.