UNIVERSE DOWNLOADER

Professional media download platform with AI support and scalable architecture.

Universe Downloader Interface

Sobre el Proyecto

Universe Downloader is a full-stack web application that allows users to download videos and audio from multiple platforms (YouTube, TikTok, Twitch, Kick, Facebook) in maximum quality.

I developed a scalable solution with an intuitive interface, clean code layered architecture, and background execution with real-time monitoring.

As the System Architect, I was responsible for the complete architecture, integrating external services such as OpenAI Whisper for transcription and process optimization with FFmpeg.

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Detalles Técnicos

  • RoleSystem Architect
  • Year2025
  • CorePython 3.11, FastAPI
  • AI ModelOpenAI Whisper

STACK TECNOLÓGICO —

Python 3.11
FastAPI
FFmpeg
OpenAI Whisper
JavaScript
HTML5
PyInstaller
Open Source

FUNCIONALIDADES —

Multi-Platform Download

Support for YouTube (4K), TikTok, Twitch, Kick, and Facebook. MP4 formats (up to 2160p) and high-fidelity MP3.

AI Transcription

Integration with OpenAI Whisper to convert downloaded audio to text automatically.

Real-Time Performance

Monitoring of speed, ETA, and progress percentage using polling and websockets.

H.264 Conversion

Asynchronous processing with FFmpeg to ensure universal video compatibility.

Desafíos Técnicos y Soluciones

01. Non-Blocking Downloads

Implementation of threading + progress hooks to keep the UI responsive during heavy downloads without freezing the application.

02. Robust Multi-Platform Support

Integrated a fallback mechanism for TikTok (using pybalt CLI if yt-dlp fails), ensuring high availability.

03. Standalone Distribution

Executable compilation with PyInstaller including the Python runtime and dependencies for a 'Click & Run' experience.

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