AutoClip is an open-source AI-driven video processing tool designed to transform long-form content—such as podcasts, interviews, and lectures—into short, shareable clips and compilations. The system operates through a multi-stage pipeline: importing video via local files or links (YouTube, Bilibili), performing speech-to-text via faster-whisper (if subtitles are not provided), and utilizing Large Language Models (LLMs) to analyze transcripts, assign highlight scores, and generate titles and outlines. Users can integrate various LLM providers, including OpenAI-compatible interfaces, Gemini, Qwen, SiliconFlow, or local models via Ollama and LM Studio. Technically, the tool supports multiple deployment modes, including a desktop application (macOS/Windows via Tauri), a Dockerized Web interface, and a CLI/MCP-compatible interface for automation. Recent updates (v1.3.2) introduced automated cover generation and a sophisticated publishing suite that can schedule and upload content directly to platforms like TikTok, YouTube Shorts, Instagram, and Bilibili. The software handles complex formatting tasks, such as rendering vertical 9:16 video for mobile platforms or preserving original aspect ratios for LinkedIn and X, while ensuring subtitles are burned into the final export.