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Tapesearch icon

Tapesearch

About Tool:
Fast podcast transcript search: find answers, instantly
Date Added:
2025-04-30
Tool Category:
🎙️ Podcast transcription
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Tapesearch Product Information

Tapesearch: Your Podcast Search Engine

Tapesearch is a revolutionary search engine built for rapid and efficient searching of podcast transcripts. Leveraging a vast open database, it allows users to instantly locate specific phrases or topics within podcast episodes, directly linking to the corresponding time-stamped audio.

Features

  • Rapid Keyword Search: Quickly find key phrases and points of interest within podcast transcripts.
  • Time-Stamped Results: Directly access the audio segment containing your search terms.
  • AI-Powered Q&A: Get insightful answers from multiple podcasts using our integrated chat feature.
  • Customizable Alerts: Receive notifications when specific keywords appear in new podcasts.
  • Multiple Transcript Formats: Download transcripts in TXT, SRT, VTT, and JSON formats.
  • Flexible and Fast: Experience accurate and speedy search results.

Benefits

  • Save Time and Effort: Eliminate the need for manual searching through hours of audio.
  • Enhanced Market Research: Quickly analyze podcast conversations for valuable insights.
  • Improved Accessibility: Make podcast content accessible to the deaf and hard of hearing community.
  • Boosted Podcast SEO: Improve your podcast's visibility and reach.
  • Comprehensive Analysis: Gain deeper understanding from multiple podcasts simultaneously.

Use Cases

  • Market Researchers: Analyze industry trends and competitor strategies.
  • Open-Source Intelligence Professionals: Efficiently gather information from various sources.
  • Podcast Enthusiasts: Easily find specific topics or guests within their favorite podcasts.
  • Accessibility Advocates: Make spoken content accessible to a wider audience.

Tapesearch offers three pricing tiers – Basic, Pro, and Alerts – to suit diverse needs. While highly accurate and fast, please note that minor transcription errors may occur due to factors like fast speech or background noise.

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