Rubii: AI Character Community
What is Tapesearch?
Tapesearch provides a powerful platform to unlock the informational potential of spoken content. It enables users to efficiently search through a vast database of podcast transcripts, pinpointing exact moments and tracking mentions of specific keywords, saving valuable time and effort.
The platform enhances research capabilities across various fields by offering tools for precise audio searches, brand mention tracking, conversational analysis, and trend identification. Tapesearch transforms how users interact with and extract knowledge from podcasts.
The platform enhances research capabilities across various fields by offering tools for precise audio searches, brand mention tracking, conversational analysis, and trend identification. Tapesearch transforms how users interact with and extract knowledge from podcasts.
Features
- Find Exact Moments: Instantly locate key discussions across podcasts with precise timestamps.
- Track Brand Mentions: Receive alerts when tracked topics appear in podcasts.
- Chat with Episodes: Extract insights through natural conversation with podcast content.
- Spot Industry Trends: Visualize conversation patterns over time to understand evolving topics.
- API Access: Integrate Tapesearch's search and transcript download capabilities into other applications.
Use Cases
- Boost podcast content creation by searching previous episodes.
- Identify market opportunities by tracking market sentiment through conversations.
- Incorporate audio transcripts into academic research.
- Optimize advertising strategies by identifying podcast sponsorship opportunities.
- Spot consumer trends by following real-time discussions.
- Break stories faster with expert commentary and emerging narratives from podcasts.
FAQs
-
What podcasts are included?
Currently the most popular podcasts based on the number of iTunes ratings are included. The long term aim is to include as many podcasts as possible. -
Where does the transcription model make errors?
Generally the AI is very good at transcribing, but you might find small errors with people's names, fast speech and when people are talking over music. Long periods of silence and/or music can also introduce errors in the timestamps which can cumulate over long recordings. -
What file format are the transcripts?
TXT, VTT and SRT with only the latter two containing timestamps. These are all ASCII files and can be opened with a text editor, e.g. Notepad -
What about paywalled/exclusive podcasts (e.g. Spotify)?
These are not yet included. -
How often is Tapesearch updated?
Our database starts a refresh cycle at midnight UTC every day. Transcripts are usually ready shortly after.
Related Queries
Helpful for people in the following professions
Tapesearch Uptime Monitor
Average Uptime
100%
Average Response Time
610.6 ms
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