Tapesearch

Tapesearch is a search engine specifically designed for rapidly searching through podcast transcripts. Drawing from a large open database of transcripts, users can quickly locate key phrases or points of interest within a podcast episode, going straight to the time-stamped audio where these phrases or points were mentioned.
The tool presents a solution for market research, open-source intelligence, podcast enthusiasts, and others who may benefit from efficiently accessing spoken content.
With its alerts function, users can get notifications when specific keywords are mentioned in a podcast, thereby saving them the time and effort of manual search.
Users can also engage with AI-powered Q&A chat feature, which can glean insights from multiple podcasts. Tapesearch also allows users to download transcripts in various formats such as TXT, SRT, VTT, and JSON.
As per pricing, Tapesearch comes in three options: Basic, Tapesearch Pro, and Tapesearch Alerts, each with varying features and level of functionality.
It is dedicated to improving podcasts' SEO and inclusivity for the deaf and hard of hearing community. The application is quite flexible, accurate, and fast in delivering results.
However, there may be minor transcription errors with people's names, fast speech, overlapping music, and long silence periods.
Releases
Pricing
Prompts & Results
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12,71599v2.1 released 2mo agoFree + from $45/moThis is the first AI marketing tool Iโve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
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29,036396v1.0 released 11mo agoFree + from $35/moThis team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
Pros and Cons
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Q&A
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Open24,62577Released 1y agoFree + from $12I played around with PodScribe.IO for just 5 minutes, and it helped me save at least 35 minutes when transcribing my first podcast (for free - have not subscribed to the paid version yet). That's pretty sweet! The way it presents and separates podcast data into different formats is really well done. It makes it super easy to find what you're looking for.
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