Building a Podcast Content Generator with AssemblyAI
This is a submission for the AssemblyAI Challenge: No More Monkey Business.
What I Built
I built a web application that helps users quickly generate summaries from audio files. The app accepts audio uploads in various formats (MP3, WAV, OGG, M4A) and uses AssemblyAI's powerful API to transcribe and summarize the content.
The application is built using:
- Next.js 14 with App Router
- TypeScript
- Tailwind CSS and Shadcn UI
- AssemblyAI API to transcribe and summarize the audio using AssemblyAI's Lemur API
Demo
You can find the source code for this project on GitHub.
Here's how the application works:
Homepage of the application:
File Upload:
File summary generating key points:
Journey
Implementing this project was an exciting learning experience. Here's how I approached it:
-
Frontend
- Built a responsive UI using Next.js and Tailwind CSS
- Implemented drag-and-drop file upload
- Created a loading state with a custom spinner component
-
AssemblyAI Integration
- Set up secure API key handling using environment variables
- Implemented file upload and transcription using AssemblyAI's API
- Added error handling for various edge cases
-
User Experience
- Added visual feedback during file upload and processing
- Designed an intuitive summary display component
- Ensured mobile responsiveness
Challenges and Solutions
The main challenges I faced were:
- File Upload Handling: Implemented proper file validation and error handling
- API Integration: Created a robust system for handling API responses and errors
Future Improvements
I plan to enhance the application with:
- User authentication system
- Saving and managing multiple summaries
- Additional customization options for the summary format
- Support for more file formats
This project demonstrates the power of AssemblyAI's API. The combination of easy-to-use interface and powerful backend processing makes it a valuable tool for podcast producers and content creators.
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