Tapesearch

AI-driven podcast transcript search engine that provides instant access to spoken content within episodes.

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AI Podcast AI Search Engine AI Transcription AI Chatbot AI API AI Research Tool AI Speech-to-Text

About Tapesearch

Tapesearch is a powerful search engine that allows users to find specific content within podcast episodes by searching AI-generated transcripts. Leveraging advanced search technology, it grants access to a vast database of transcripts, enabling quick identification of key moments and brand mentions. Additionally, Tapesearch offers an API for integrating conversational insights into applications and workflows.

How to Use

Enter keywords or phrases into Tapesearch to locate relevant segments in podcast transcripts. The platform displays timestamps, allowing users to jump directly to specific audio sections. Users can also set up alerts to monitor mentions of particular keywords or topics.

Features

Advanced AI-powered search of podcast transcripts
API integration for app development
Visualization of trending topics
Custom alerts for brand mentions and keywords
Interactive chat with episodes for insights

Use Cases

Podcasters can review previous episodes to develop new content ideas.
Financial analysts track market sentiment through podcast discussions.
Advertisers identify podcasts offering sponsorship opportunities.
Journalists discover expert opinions and emerging stories.
Researchers incorporate audio transcripts into academic studies.
Market analysts monitor real-time brand and product discussions.

Best For

Advertising professionalsAcademic researchersMarket analystsOpen-source intelligence expertsJournalistsPodcast creatorsFinancial analysts

Pros

Enables extraction of insights through natural language analysis.
Reduces time spent listening to entire episodes.
Improves accessibility for the Deaf and hard of hearing community.
Provides customizable alerts for brand mentions and trending topics.
Access to a comprehensive database of podcast transcripts.

Cons

Timestamp accuracy may vary due to advertisements or silence periods.
Transcription errors may occur with names, rapid speech, or background music.
Currently excludes paywalled or exclusive podcasts, such as those on Spotify.

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Tapesearch Pro

$12.50/month

Search within transcripts using advanced filters, powered by large language models. Download timestamped transcripts and receive two email alerts for keyword mentions.

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Tapesearch Insights

$31/month

Includes all Pro features plus up to 50 email alerts. Create charts of trending topics with downloadable data for in-depth analysis.

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API Access

$60/month

Access search and transcript download endpoints with up to 2000 requests daily. Integrate Tapesearch into applications via REST, IFTTT, Zapier, and more. Includes all Insights features.

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FAQs

What is Tapesearch?

Tapesearch is a search engine designed to quickly locate specific content within podcast transcripts, enabling users to jump directly to relevant segments without listening to entire episodes.

Which podcasts are available?

The platform currently includes the most popular podcasts based on iTunes ratings. The goal is to expand to include as many podcasts as possible over time.

Where might transcription errors occur?

While the AI is highly accurate, small errors can happen with names, fast speech, or overlapping music. Silence and music can also affect timestamp precision.

Which file formats are supported?

Transcripts are available in TXT, VTT, and SRT formats, with only VTT and SRT containing timestamps. All are plain ASCII files compatible with any text editor.

Are paywalled podcasts included?

Currently, paywalled or exclusive podcasts, such as those on Spotify, are not available in the database.

How can I request additional podcasts or features?

You can contact support via the chat box located at the bottom right of the platform, and our team will assist you.

How frequently is Tapesearch updated?

The database refreshes daily starting at midnight UTC, with transcripts typically available shortly afterward.