Who it is built for
- Market researchers tracking consumer and brand conversations
- Podcasters searching prior episodes and distributing transcripts
- Journalists finding timestamped podcast commentary
Search podcast conversations and find exact spoken moments
Tapesearch is a podcast-transcript search platform for locating discussions, mentions, and audio timestamps across podcasts. It supports full-text, semantic, and hybrid search, episode chat, keyword alerts, trend analysis, transcript downloads, and API access for research and monitoring workflows.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Tapesearch searches podcast transcripts, summaries, episode titles, and podcast titles and links results to precise timestamps.
Semantic and hybrid modes can find conceptually related discussions in addition to keyword matches.
Tapesearch can alert users when tracked topics appear in podcasts and provide data on conversational trends.
Users search podcast transcript fields with plain text, simple syntax, or Lucene queries, and can choose full-text, semantic, or hybrid retrieval. Tapesearch returns matching discussions and timestamps so users can go directly to the relevant audio. Subscribers can download transcripts, set alerts, or use the API.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.