Pica is a lightweight, clean, and distraction-free YouTube video downloader for Windows.

It is built with a strong focus on simplicity, speed, and user experience — without ads, clutter, or confusing options. The goal of Pica is to provide a smooth and transparent way to download videos or audio in the quality users choose.

Most existing video downloaders feel bloated, untrustworthy, or difficult to use. Pica was created to solve this problem by doing one thing well: offering a clean, beginner-friendly desktop experience that respects the user.

Pica is designed as a learning-focused, ethical, and user-respecting application. It avoids aggressive behavior, hidden processes, or bundled software, and keeps everything clear and visible to the user.

This project is suitable for everyday users, learners, and developers who value simplicity and transparency in desktop software.

Features

  • Download videos in any quality from 144p up to 4K
  • Also support YouTube Shorts
  • Audio-only download available using a single best audio format
  • Browser extension for one-click downloads directly from YouTube
  • Built-in offline library to organise downloaded videos
  • Thumbnails and channel-based organization for easy browsing
  • Clean, ad-free, and distraction-free interface
  • Simple and beginner-friendly design

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Pica

Pica Web Site

Other Useful Business Software
Cloud data warehouse to power your data-driven innovation Icon
Cloud data warehouse to power your data-driven innovation

BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Try for free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Pica!

Additional Project Details

Operating Systems

Windows

Intended Audience

End Users/Desktop

Registered

2025-12-22