YILS-LIN/short-video-factory

一键生成产品营销与泛内容短视频,AI批量自动剪辑,高颜值跨平台桌面端工具 One click generation of product marketing and general content short videos, AI batch automatic cliping, beautiful cross...

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Summary Information

Updated 3 minutes ago
Added to GitGenius on September 12th, 2026
Created on July 9th, 2025
Open Issues & Pull Requests: 27 (+0)
GitHub issues: Enabled
Number of forks: 756
Total Stargazers: 5,362 (+1)
Total Subscribers: 29 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.0 hours
Mean response time: 37.5 hours
90th percentile: 3.3 days
Tracked items: 65

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 11% of issues opened in the past year have been closed. Three people close 95% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 27
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 228 days
Stale 30+ days: 26
Stale 90+ days: 21

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (18)
  • enhancement (18)

Most active issues this week

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Detailed Description

Short Video Factory is a desktop application that automates the creation of short videos for product marketing and general content using AI-driven tools.

The tool addresses the time-consuming nature of video production by automating the editing workflow. Users provide prompt text and video footage, and the application handles scriptwriting, text-to-speech synthesis, video editing, and subtitle generation. The system integrates AI-powered copywriting, supports batch processing to generate multiple videos automatically, and runs entirely locally to preserve data privacy.

The tool suits creators and marketers who need to produce short videos at scale without manual editing expertise. It works across Windows, macOS, and Linux, and supports multiple languages including Chinese and English. The application is designed for quick onboarding with minimal configuration required. It handles multiple video formats and automates the synchronization of scripts, video clips, audio, and subtitles into finished videos.

Development shows active maintenance with regular bug fixes and feature additions. The project maintains comprehensive documentation and accepts user feedback through structured issue templates for bug reports and feature requests. The roadmap indicates completed work on core functionality including scriptwriting with OpenAI-compatible API support, EdgeTTS voice synthesis, batch video processing, and multilingual support, with planned expansions to parameter customization, additional voice synthesis APIs, and subtitle styling options.