Tapesearch is a search engine that utilizes AI-generated transcripts to enable users to quickly locate specific audio segments within podcasts. This platform addresses the challenge of time-consuming audio analysis by providing instant access to relevant discussions and real-time alerts for keyword mentions across a vast database of over 2 million transcripts.
Funding
Funding not disclosed
Founders
Product
Problem
Analyzing audio content in podcasts is time-consuming, requiring users to manually listen through hours of recordings to find specific information. This makes it difficult to quickly extract insights, track mentions, or identify relevant discussions within the vast podcast landscape.
Solution
Tapesearch is a search engine that leverages AI-generated transcripts to enable users to instantly locate specific audio segments within podcasts. The platform indexes a large database of podcast transcripts, allowing users to search for keywords and jump directly to the relevant moments in the audio. Tapesearch also offers real-time alerts for keyword mentions, enabling users to stay informed about topics of interest across the podcast ecosystem. By providing instant access to spoken content, Tapesearch empowers researchers, marketers, and podcasters to extract insights, monitor trends, and discover valuable information more efficiently.
Target Audience
Tapesearch primarily targets market researchers, podcasters, journalists, financial analysts, academic researchers, and anyone who needs to quickly extract information from podcast content.
Features
- AI-powered search across a database of over 2 million podcast transcripts
- Instant timestamped access to relevant audio segments
- Real-time email alerts for keyword mentions in new podcast episodes
- Large language model powered search with Tapesearch Chat
- Downloadable transcripts in TXT, SRT, VTT, and JSON formats
- API access for integrating Tapesearch into other applications (REST, IFTTT, Zapier)
- Charts of trending conversational topics with downloadable data