RafaelGodoyEbert/ViralCutter

What it solves

ViralCutter is an open-source, local alternative to paid services like Opus Clip. It solves the problem of manually editing long-form YouTube videos into short, viral clips for platforms like TikTok, Instagram Reels, and YouTube Shorts, eliminating expensive subscriptions and cloud-upload privacy concerns.

How it works

The tool uses a combination of AI models to automate the editing process:

• Content Identification: Uses LLMs (Gemini, GPT-4, or local GGUF models like Llama 3 and DeepSeek) to identify engaging hooks and viral moments.
• Transcription: Employs WhisperX with GPU acceleration for high-accuracy subtitles.
• Visual Framing: Automatically converts horizontal video to 9:16 vertical format using auto-cropping, intelligent split-screen for two speakers, and experimental active-speaker tracking.
• Styling: Generates dynamic "Hormozi-style" captions with word-by-word highlights, emojis, and custom colors.
• Translation: Automatically translates subtitles into over 10 languages.

Who it’s for

Content creators and social media managers who want to produce high-quality short-form clips from long videos without paying for SaaS subscriptions or sending their data to third-party servers.

Highlights

• Local Execution: Runs entirely on the user's hardware for total privacy and no cost.
• Flexible AI Backend: Supports both cloud APIs (Gemini, GPT-4) and fully offline local LLMs.
• Advanced Camera Control: Features split-screen detection for conversations and dynamic face tracking.
• Professional Export: Includes a beta feature to export XML files for further editing in Adobe Premiere Pro.
• Modern Interface: Provides a Gradio-based WebUI with a project gallery and integrated caption editor.