AudioForgeX

View Project
Project Details

AudioForgeX is a web-based audio processing platform that enables users to upload, enhance, and download audio files with ease. The platform combines high-performance C-based audio processing with Python for backend integration and a Vue.js + TypeScript frontend for an intuitive user experience. It is designed to deliver professional-grade audio editing features while maintaining simplicity and accessibility for all users.

Key Features
  • High-Performance Audio Processing: Implements core audio transformations such as vocal removal, echo addition, volume scaling, and pitch shifting using optimized C code.
  • Python Integration with C Libraries: Leverages ctypes to integrate C functions into Python, enabling seamless communication between the backend logic and the Flask API.
  • Interactive and Responsive User Interface: Built with Vue.js and TypeScript, offering a dynamic interface for configuring audio effects, uploading files, and downloading processed results.
  • Real-Time Audio Configuration: Allows users to adjust audio settings and apply transformations in real time.
  • Flask Backend for Communication: Provides a lightweight and efficient API for processing audio and managing frontend-backend interactions.
  • Cross-Platform Compatibility: Designed for Linux systems with shared object files (.so) and includes plans for Docker-based deployment and Windows support.
Technologies Used
  • IDE: Visual Studio Code and PyCharm
  • Languages:
    • C: Audio processing logic for speed and efficiency.
    • Python: Middleware and API logic using Ctypes and integrating with Flask for backend-frontend communication.
    • Vue.js + TypeScript: Frontend development for a modern, interactive interface.
    • HTML + CSS: Enhancing GUI design and user experience
    • Docker: Allowing for easy deployment and cross-platform compatibility
My Takeaways
  • System Integration: Learned to combine low-level C programming with Python and modern frontend frameworks to build a cohesive application.
  • Audio Processing Expertise: Developed proficiency in implementing and integrating complex audio algorithms.
  • Frontend-Backend Communication: Gained experience in building seamless, asynchronous interactions between the user interface and backend API.
  • Cross-Platform Development: Designed the platform with cross-platform compatibility in mind, preparing for containerized deployment using Docker.