Daily Podcast Summary
This workflow is designed to automate the processing of daily popular podcast content. It retrieves the top 10 podcasts in the specified category from the U.S. region, downloads and clips audio segments, and utilizes AI technology for audio transcription and content summarization. Ultimately, the system sends an email containing the podcast titles, links, and summaries, helping users quickly understand the latest developments in their areas of interest, saving time and enhancing efficiency, particularly for content creators and busy professionals.
Workflow Name
Daily Podcast Summary
Key Features and Highlights
This workflow automatically retrieves trending podcasts in specified categories within the United States, downloads and clips audio segments, transcribes the audio using OpenAI Whisper technology, and then generates focused summaries of the podcast content via the GPT-4 model. Finally, it automatically sends emails through Gmail containing the podcast titles, links, and summaries. The entire process is fully automated without any manual intervention.
Core Problems Addressed
- Automatically fetches and filters daily trending podcasts, eliminating the hassle of manual searching and screening
- Automatically clips and transcribes lengthy audio to extract key content
- Utilizes AI technology to generate concise and readable podcast summaries, saving users the time of listening to full episodes
- Pushes summaries via email, enabling users to stay updated on the latest podcasts in their areas of interest promptly
Application Scenarios
- Content creators and media professionals who follow podcasts in specific fields such as technology, news, or arts
- Busy professionals who want to quickly grasp podcast highlights
- Podcast enthusiasts seeking systematic daily recommendations and summaries
- Educational or research institutions aiming to rapidly acquire key points from industry-related audio content
Main Process Steps
- Trigger the workflow on a schedule (e.g., daily at 8 AM)
- Set the podcast category (e.g., TECHNOLOGY)
- Call the Taddy API to obtain the top 10 trending podcasts and their audio links in the US for the selected category
- Split each podcast entry and download audio files individually
- Use the audio clipping service to extract specified time segments from the audio
- Retrieve the clipped audio download links and download the segments
- Transcribe the audio to text via the OpenAI Whisper API
- Summarize the transcription using the GPT-4 model
- Integrate podcast information and summaries into HTML formatted content
- Send the daily podcast summary email through Gmail
Involved Systems or Services
- Taddy API (for fetching trending podcast data)
- Aspose Audio Clipping API (for audio editing)
- OpenAI Whisper (for audio transcription)
- OpenAI GPT-4 (for content summarization)
- Gmail (for email delivery)
Target Users and Value Proposition
This workflow is ideal for users who need to efficiently acquire and organize podcast content, especially content planners, journalists, industry analysts, and busy professionals. By leveraging automation technologies, it significantly reduces the time spent on podcast content filtering and comprehension, helping users quickly grasp industry trends and essential knowledge.