"Tapesearch" is a search engine that utilizes artificial intelligence to facilitate searching through podcast transcripts. It boasts a considerable database of AI-generated transcriptions from various podcasts and is regularly updated with new transcripts. Users can sort transcripts by relevance and podcast title, apply filters by the date of podcast publication, exclude specific words from search results, and receive alerts for specific keywords mentioned in a podcast. Tapesearch is known for its speed, accuracy, and flexibility in delivering search results, making it efficient and user-friendly.
Tapesearch was founded by the team consisting of David Phillips, Juergen Berkessel, and Leon Novački. David Phillips is a market researcher who found Tapesearch to be a valuable addition to market intelligence tools. Juergen Berkessel, the creator of Polymash, highlighted how Tapesearch enhances podcast discoverability and accessibility, particularly beneficial for the deaf and hard of hearing community. Leon Novački, a software engineer, appreciated Tapesearch for providing a solution to access podcast information efficiently.
To use Tapesearch effectively, follow these steps:
Search Podcast Transcripts:
Sorting and Filtering:
Excluding Words and Specific Phrases:
Advanced Features of Tapesearch Pro:
Feedback and Alerts:
Improving Podcast SEO:
Pricing Options:
Inclusivity and Accessibility:
Utilizing Chat Feature and Market Insights:
Database Updates and Search:
By following these steps, users can effectively leverage Tapesearch to efficiently search, sort, and filter podcast transcripts, improving search accuracy and user experience.
Paid plans start at $15/month and include:
I love how quickly Tapesearch retrieves podcast transcripts. It saves me so much time during my research, and the AI-driven accuracy is impressive.
Sometimes, the interface can feel a bit cluttered, especially when filtering results. A more streamlined design would enhance usability.
Tapesearch allows me to locate specific discussions within a podcast without having to listen to the entire episode, making my work more efficient and focused.
The relevance sorting feature is fantastic. I can find exactly what I need without sifting through countless episodes.
While I appreciate the alerts for keywords, sometimes they can be a bit delayed, which can be frustrating.
It helps me quickly gather information for my podcast production, ensuring I stay informed about trends and discussions in my field.
The speed of the searches is impressive. I can access multiple transcripts in no time.
I wish there were more advanced filter options, like filtering by episode length, which would be beneficial.
It assists in locating specific content from various podcasts, helping me to prepare better for discussions in my own podcast.
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