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Relevant App ✓

AI-powered podcast production copilot

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Podcast Production Podcasting Copilot Topic Detection
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Real-time Content Suggestion Topic-discovery Automatic Tagging Podcasts
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Verdict

A quick read before you dig into the full page.

Best if
AI-powered podcast production copilot
Skip if
Limited content sources
Pick this when
Real-time content suggestion

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Overview

Relevant is a podcast production tool, functioning as an AI co-pilot while recording podcasts. The tool is designed to augment the podcast creation process with real-time content suggestion and topic detection functionality.

As you record your podcast, Relevant pulls related web content, such as from Reddit, YouTube, and news sources, into a dashboard for rapid exploration and idea development.

It uses proprietary algorithms to analyze the content of your conversation and determine the key topics being discussed. These include people, companies, and locations.

These topics can then be used to filter the content feeds for more focused and relevant information. For Pro users, Relevant provides a valuable feature of real-time transcription.

Podcasts are automatically transcribed, with the resultant transcripts saved to the user's account. These transcripts can be retrieved and downloaded anytime for fact-checking or search purposes.

Podcasts are also tagged with their detected topics, aiding users and listeners in tracking interesting topics across episodes. These features make Relevant a comprehensive and powerful tool for elevating podcast production and organization.

Relevant App website

Access & connections

Where you can use Relevant App, and what it plugs into.

Platforms

Web

Integrations

Reddit Make

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Audio

Output

  • Text
  • Tabular

Pros & cons

Pros

  • Real-time content suggestion
  • Topic detection functionality
  • Pulls related web content
  • Dashboard for idea development
  • Proprietary algorithms for analysis
  • Focus on key topics
  • Feeds for focused information
  • Real-time transcription for Pro users
Show 17 more
  • Automatic transcript saving
  • Transcripts downloadable anytime
  • Transcripts useful for fact-checking
  • Podcasts tagged with topics
  • Elevated podcast production
  • Enhanced podcast organization
  • Content curation tool
  • Access to various news sources
  • Tracks key topics across episodes
  • No need for manual Googling
  • Dashboard customization for Pro users
  • Content source expansion
  • Interactive podcast enhancing tool
  • Features visual depictions
  • Augments podcast creation process
  • Cross-episode topic tracking
  • Search over saved transcripts

Cons

  • No offline capabilities
  • Limited content sources
  • No dashboard customization
  • Transcription only for Pro users
  • No multi-language support
  • Transcripts not editable
  • No mobile app
  • No live customer support
Show 2 more
  • No collaborative features
  • Tagging not user-managed

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Releases 1

Initial release November 20, 2023 Current
Initial release of Relevant App.

FAQ 12

What is Relevant?
Relevant is an AI-driven podcast production tool. It functions as a co-pilot during the recording of podcasts, offering real-time content suggestions and topic detection functionality. It helps enhance the podcast creation process by bringing related web content into a user-friendly dashboard for quick exploration and idea development.
How does Relevant assist in the podcast creation process?
Relevant assists in the podcast creation process by using proprietary algorithms to analyze the conversation content. It identifies the key topics being discussed, including people, companies, and locations. The tool pulls related web content into a dashboard for quick exploration and idea development. It also transcribes podcasts in real time and saves the transcripts to the user's account.
Does Relevant generate real-time content suggestions?
Yes, Relevant generates real-time content suggestions. As users record their podcasts, Relevant automatically pulls in related web content into a dashboard for exploration and idea development.
How does Relevant topic detection feature work?
Relevant's topic detection feature works through specialized algorithms that analyze the content of the ongoing conversation. It surfaces key topics such as people, companies, and locations being mentioned during the podcast recording.
Can Relevant pull related web content?
Yes, Relevant can pull related web content. It pulls in content from various sources including Reddit, YouTube, and news sites, into a dashboard for users to explore and refine their ideas.
From which sites does Relevant source its content feeds?
Relevant sources its content feeds from various online platforms such as Reddit, YouTube, and several news sources.
What does Relevant analyze to determine the key discussion topics?
Relevant analyzes the content of user's ongoing podcast conversation to determine the key discussion topics. The areas of focus include people, companies, and locations mentioned during the conversation.
How does Relevant use identified topics to filter content feeds?
Once Relevant has identified the key topics from the conversation, it uses these topics to filter the content feeds. Users can focus the content feeds on any number of identified topics with just a click.
Does Relevant transcribe podcasts in real time?
Yes, for Pro users, Relevant transcribes podcasts in real time. The transcripts are automatically saved to the user's account for future use.
How do I retrieve the podcast transcripts?
Podcast transcripts can be retrieved and downloaded from your Relevant account at any time.
Are there any specific features provided only for Pro users?
Yes, Relevant offers specific features for Pro users. These include real-time transcription of podcasts and saving of these transcripts to the user's account.
How does Relevant tag a podcast?
Relevant tags each recorded podcast with the topics detected during the conversation. This feature enables users and their listeners to track interesting topics across multiple episodes.
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