tunex: An LLM-Powered Intelligent Media Download and Management CLI Tool

tunex is a cross-platform CLI tool that integrates media downloading (YouTube/Spotify is planned), local audio and video processing, and metadata management functions. It solves environment dependency issues via Docker, improves performance based on Bun, provides a flexible configuration system and concise commands, aiming to offer users a one-stop media processing experience covering "download-convert-manage".

In the digital age, personal media library management faces pain points such as switching between multiple tools, complex command-line operations, and manual metadata editing. Traditional solutions require installing tools like ffmpeg/yt-dlp and mastering their syntax, which has a high threshold for non-technical users; technical users also face challenges like cross-platform consistency, batch processing efficiency, and automatic metadata matching. tunex targets these pain points, building a unified cross-platform CLI tool combined with LLM intelligence to provide an elegant solution.

tunex's core functions cover three scenarios:

1. YouTube content acquisition: support audio (MP3)/video (MP4) download, batch processing of playlists;
2. Local media processing: extract audio tracks from local videos into MP3;
3. Intelligent metadata management: use LLM to analyze filename semantics, automatically extract artist, album, etc., complete metadata tagging and file classification.

tunex's technical features include:

1. Based on Bun runtime: fast startup speed, improving user experience;
2. Docker support: no need to install dependencies like ffmpeg/yt-dlp locally, solving cross-platform compatibility issues;
3. Parallel processing: batch tasks support up to 4 threads, improving processing efficiency.

The configuration system follows priority from highest to lowest: command-line parameters > environment variables (.env.local/.env) > configuration file (~/.tunex/config.json) > default values. An interactive configuration wizard (tunex config) is provided. Commands are designed to be concise and intuitive, including: bulk-audio-extract (batch audio extraction), yt-audio-only (YouTube audio download), yt-video-mp4 (YouTube video download), config (configuration management), etc.

tunex uses LLM to solve ambiguous file matching scenarios that are difficult to handle with traditional rules (such as metadata extraction from messy filenames). Future plans include Spotify integration, supporting direct download of playlists/albums/singles and automatic metadata acquisition.

tunex demonstrates a hybrid architecture of "traditional tools + AI enhancement": the bottom layer maintains certainty and reliability, while the upper layer provides flexibility and intelligence via LLM—this may be the future direction of tool software development. As a lightweight open-source project, tunex starts from user pain points, solves problems with appropriate technologies, and provides a reference case for integrating AI into traditional tool scenarios.