PodExtra vs Tapesearch Detailed comparison features, price

PodExtra

PodExtra revolutionizes podcast consumption through advanced AI technology that converts audio content into multiple digestible formats. The platform generates comprehensive transcripts with speaker distinction, creates visual mind maps for structural understanding, and produces concise summaries of podcast episodes.

The tool enhances podcast listening experience by offering features such as sentence-by-sentence navigation, highlight extraction of key quotes, and actionable takeaways. With support for numerous popular podcasts and a focus on knowledge acquisition, it enables users to process podcast content up to 10 times faster than traditional listening.

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.

PodExtra

Pricing

Freemium

From 6$

Tapesearch

Pricing

Paid

From 13$

PodExtra

Features

AI Summary: Generates concise episode summaries for quick content preview
Mind Maps: Creates visual representations of podcast structure and key points
Interactive Transcript: Provides accurate transcriptions with speaker distinction
Smart Navigation: Supports sentence-by-sentence audio navigation
Highlight Extraction: Automatically identifies and saves notable quotes
Key Takeaways: Generates essential points without full episode listening

Tapesearch

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.

PodExtra

Use cases

Quick podcast content review before listening
Research and content curation
Educational content consumption
Professional development learning
Content creation reference
Time-efficient knowledge acquisition

Tapesearch

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.

PodExtra

FAQs

What is PodExtra?

PodExtra is an AI-powered podcast tool that provides transcripts, summaries, mind maps, outlines, highlights, and takeaways for podcasts. It allows users to quickly browse through content, saving time and improving efficiency.

Tapesearch

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.