Show HN：使用 v0 和 AI 建構的開源 FFmpeg 影片優化器

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ivanglpz/v0-video-optimizer

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Video Optimizer

Overview

Video Optimizer is a desktop and web-based application built with Next.js, React, and Electron that allows users to optimize video files using FFmpeg through a graphical interface. The application focuses on providing a clear, deterministic pipeline for video processing while exposing commonly used FFmpeg parameters in a controlled and user-friendly way.

The project combines a static Next.js frontend with an Electron shell, enabling local video processing without uploading files to external servers.

Core Goals

Architecture

The application is composed of four main layers:

High-Level Flow

All operations occur locally on the user’s machine.

Frontend

Technology Stack

Main Components

VideoOptimizer

UI Components (components/ui)

State Management

No global state or external state libraries are required for this scope.

Video Configuration Model

The video processing pipeline is driven by a single configuration object:

This configuration is shared between the frontend and the processing layer.

Electron Integration

Electron Main Process

Preload Script

The preload layer exposes a minimal API to the renderer:

This design ensures:

FFmpeg Processing

Command Construction

The FFmpeg command is generated dynamically based on user input:

Audio Speed Handling

Because FFmpeg’s atempo filter only supports values between 0.5 and 2.0, the application:

Temporary Files

API Route (Optional Web Mode)

The repository also includes a Next.js API route for video optimization:

This route:

This is useful for non-Electron deployments but is not required for the desktop build.

Build and Run

Development

Production Build

This generates a distributable desktop application using electron-builder.

Security Considerations

Project Status

This project is functional and stable, serving as a reference implementation for:

Future improvements may include progress reporting from FFmpeg, batch processing, and preset management.

License

Open source. Attribution to the original author is required.

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