Searchable Podcast Archive

via “semantic and text-based audio search with speaker identification”

** - Search 1M+ hours of podcasts, interviews, talks and your private audio uploads with speaker identification and timestamps. Official Remote MCP server (via https://mcp.audioscrape.com) enabling AI assistants to access and analyze audio content through semantic and text-based search.

Unique: Combines speaker identification with dual search modes (text + semantic) across 275,000+ pre-transcribed podcasts, returning segment-level results with precise timestamps and direct playback URLs. Unlike generic audio search, it indexes speaker identity and enables conceptual discovery across a curated corpus of 1M+ hours.

vs others: Faster and more accurate than manual podcast searching or generic web search because it operates on pre-transcribed, indexed audio with speaker metadata rather than requiring real-time transcription or relying on episode descriptions alone.

via “searchable-podcast-archive”

via “semantic-segment-search-across-podcast-archives”

Unique: Specializes in temporal segment search with direct playback navigation, rather than generic web search; indexes full podcast/video transcripts and maps search results to precise timestamps, enabling users to jump directly to relevant moments instead of scrubbing through content

vs others: More targeted than YouTube's native search for podcast discovery because it indexes transcript content semantically and returns segment-level results with timestamps, whereas YouTube search returns full videos; faster than manual podcast listening or transcript review for researchers

via “podcast library search and discovery”

via “seo-friendly podcast generation”

via “searchable message archive”