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 platform desktop tool
Quickly create marketing and general content short videos using AI to automate the editing process on your desktop.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime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 platform desktop tool
short-video-factory has 4.4k stars on GitHub. It has been forked 644 times. short-video-factory is written mainly in TypeScript. It has been in active development since 2025. short-video-factory is available under the AGPL-3.0 license. Its main topics are ai, automatic, automation, clipping.
What is 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 platform desktop tool
Is short-video-factory open source?
short-video-factory is an open-source project. It is released under the AGPL-3.0 license.
Is short-video-factory free?
Yes. short-video-factory is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
What license does short-video-factory use?
short-video-factory is available under the AGPL-3.0 license.
What language is short-video-factory written in?
short-video-factory is written mainly in TypeScript.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/yils-lin-short-video-factory.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.