ViralCutter

Free tool to create viral videos from YouTube, generating clips optimized for TikTok and Instagram with automatic transcription and 9:16 editing.

github.com/RafaelGodoyEbert/ViralCutter
ViralCutter homepage screenshot

About ViralCutter

ViralCutter is an open-source repository that converts long YouTube videos into short vertical clips for TikTok, Instagram Reels and YouTube Shorts. It includes AI-assisted segment selection, WhisperX-based transcription, word-level subtitles, 9:16 auto-crop with split-screen options, and subtitle translation.

It is described as running on the user's own computer through a Gradio-based WebUI with a project gallery and subtitle editor. Use requires installing dependencies such as Python, FFmpeg and build tools, with an NVIDIA GPU recommended, and a choice between local models or external services such as Gemini or GPT-4, which would process data outside the local machine.

Key features

  • Convert long YouTube videos into vertical 9:16 clips
  • Identify segments using Gemini, GPT-4 or local LLMs
  • Transcribe audio with GPU-accelerated WhisperX
  • Create word-by-word highlighted customizable subtitles
  • Auto-crop, two-person split-screen and experimental active-speaker framing
  • Translate subtitles into 10+ languages and export Premiere Pro XML in beta
Best for: Creators who want to turn long YouTube videos into short vertical clips using their own computer.
Good for
  • Open-source code with local processing described
  • Choice of Gemini, GPT-4 or offline local LLMs
  • Project gallery and integrated subtitle editor in WebUI
Watch out for
  • Requires installing Python 3.10/3.11, FFmpeg, C++ build tools and NVIDIA drivers
  • NVIDIA GPU strongly recommended for speed and local AI use
  • Active-speaker camera mode listed as experimental and Premiere XML export as beta

ViralCutter at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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ViralCutter FAQ

What is needed to run ViralCutter on a new computer?
Visual Studio C++ Build Tools with desktop C++ workload, Python 3.10 or 3.11 with PATH enabled, FFmpeg, and updated NVIDIA drivers.
Which AI models can it use to select clips?
Gemini, GPT-4, or local GGUF models such as Llama 3 and DeepSeek, according to the repository description.
What output options are described?
Vertical 9:16 output with selectable resolution up to 4K/Best, plus beta XML export for Premiere Pro.
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