# VideoHighlighter

> VideoHighlighter is a self-hosted, open-source desktop app for local AI video analysis: automatic highlights, object/action detection, visual search, subtitles — offline.

- **Category:** Video
- **Licence:** AGPL-3.0
- **Latest version:** 0.14.2
- **Open source:** oss
- **Languages:** Python
- **Platforms:** Linux, Windows, macOS
- **Tags:** Offline, Local Ai, Semantic Search, Ollama, Object Detection, Cuda, AI, Windows, Yolo, Desktop app, Self Hosted, Whisper, Video Editing, Openvino, Video analysis, Offline ai, Mac, Highlights, Clip, Video Understanding, Action Recognition, Scene Detection, Subtitle Generation, Video Search, Action Recognition Dataset, Highlight Generation, Llava, Object Detection Pipelines

## Description

VideoHighlighter is a free, open-source desktop application for Windows, macOS, and Linux that performs local AI video analysis. It drops in raw video files and scores strong moments using scene detection, motion analysis, audio peaks, object detection (YOLOX), action recognition, and transcript analysis via Whisper. The app explains every decision with a detailed per-signal report showing why each moment was kept or dropped. It exports highlight reels and individual clips, supports composition rules to combine detections into custom events, and includes an automatic pipeline for GoPro/drone footage that ingests, scripts, adds music, and renders a finished reel. The core pipeline requires no API keys and runs entirely offline. Optional LLM features connect to a local Ollama instance. Two frontends are provided: a Qt desktop GUI with a full timeline viewer, and a Tauri v2 web UI with folder-at-once input and music mixing. Models can be trained in-app and shared via a Hugging Face model hub. The project is licensed under AGPL-3.0 with a commercial Pro edition available separately.

## Links

- [Homepage](https://github.com/aseiel/videohighlighter)
- [Website](https://aseiel.github.io/VideoHighlighter-site/)
- [GitHub Repository](https://github.com/Aseiel/VideoHighlighter)
- [Discord Community](https://discord.gg/cUPJqPAMmm)

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Source: https://selfhost.directory/project/videohighlighter