Daily Podcast Summary
This workflow automatically retrieves the top ten specific types of podcasts in the United States every day, downloads the audio, and extracts specified segments. It then uses speech-to-text technology for transcription and summarizes the content using an intelligent model. Finally, the organized podcast names, audio links, and key summaries are sent to users via email without any manual intervention, helping users efficiently grasp industry trends and hot topics, saving time and enhancing information acquisition efficiency.
Workflow Name
Daily Podcast Summary
Key Features and Highlights
This workflow automatically retrieves the top 10 podcasts in specified categories (such as Technology, News, Arts, etc.) within the United States on a daily basis. It downloads the audio files, extracts designated time segments, transcribes the audio using OpenAI Whisper speech-to-text technology, and then generates intelligent summaries of the transcriptions via the GPT-4 model. Finally, the curated podcast titles, audio links, and summary content are compiled and sent to users via email. The entire process is fully automated without manual intervention, enabling users to efficiently access key podcast content.
Core Problems Addressed
- Podcasts are lengthy, making it difficult to quickly grasp key points
- Manually searching and filtering quality podcasts is time-consuming and labor-intensive
- Audio transcription and content summarization require significant human effort
- The need to stay updated daily with industry trends and hot topics
Use Cases
- Industry professionals in fields like technology, news, and arts to quickly stay informed with the latest podcast updates
- Podcast enthusiasts who want daily curated summaries to save listening time
- Media editors and marketing personnel for content selection and analysis
- Educational and research institutions seeking quick access to relevant podcast materials
Main Process Steps
- Scheduled Trigger: Workflow automatically starts every day at 8:00 AM
- Set Podcast Category: Configure the podcast category as needed (e.g., TECHNOLOGY)
- Data Retrieval: Use the Taddy API to fetch the top 10 podcasts and their audio links in the specified category within the US
- Iterative Processing: Process each podcast entry individually
- Download Audio: Download the full podcast audio file
- Audio Clipping: Use a third-party audio clipping API (Aspose) to extract a specified time segment (e.g., from 8 to 24 minutes)
- Audio Transcription: Upload the clipped audio to OpenAI Whisper for speech-to-text transcription
- Content Summarization: Utilize OpenAI GPT-4 to generate concise summaries highlighting core information from the transcription
- Data Structuring: Compile structured data including podcast title, audio link, and summary
- HTML Formatting: Organize the content into an HTML table format
- Email Delivery: Send the daily summary email to users via Gmail integration
Involved Systems and Services
- Taddy API: For retrieving podcast rankings and audio data
- Aspose Audio Clipping API: For trimming podcast audio files
- OpenAI Whisper: For converting audio to text
- OpenAI GPT-4: For intelligent text summarization
- Gmail: For sending the daily summary emails
Target Audience and Value
- Professionals tracking industry trends and hot topics
- Listeners seeking quick access to podcast highlights
- Content editors and marketing teams
- Educational and research users needing efficient audio content summaries
By integrating multiple intelligent services, this workflow significantly reduces the barriers and time costs associated with consuming podcast content, enhancing information acquisition efficiency. It represents a benchmark in automated podcast content processing and summarization.