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I built a self-hosted AI video subtitle & caption burning engine (FastAPI + Whisper + FFmpeg) to stop paying monthly SaaS subscriptions

Hey r/SideProject , I got tired of paying monthly SaaS subscriptions to tools like Submagic and CapCut just to transcribe short-form videos and burn styled captions onto them. At the same time, wrestling directly with FFmpeg subtitle filters and speech-to-text timing from scratch is a massive headache. So I spent the last few weeks building a production-ready, self-hosted microservice starter kit that handles the entire pipeline locally or on any private VPS: Most video subtitle A

五维评分

付费意愿
55
需求真实度
50
个人可落地
85
竞争空间
25
新鲜度
50

AI 分析

痛点:短视频字幕转写和烧制被迫按月订阅 SaaS(Submagic、CapCut),按分钟计费且媒体要上传到第三方服务器;自己写 FFmpeg 字幕滤镜并对齐时间轴又极其痛苦。

目标用户:需要批量制作带样式字幕的短视频创作者、剪辑工作室,以及想低成本搭建字幕 SaaS 的独立开发者或小团队。

证据:I got tired of paying monthly SaaS subscriptions to tools like Submagic and CapCut just to transcribe short-form videos and burn styled captions onto them. / Most video subtitle APIs charge per minute and lock your media onto their servers. This runs 100% on your own hardware or private cloud with zero third-party API costs.

变现:一次性买断的源码/Docker Starter Kit 授权;或提供托管版按量计费(每分钟转写)、私有化部署实施服务,以及字幕样式模板包增值销售。

MVP:2 周 MVP:Docker 一键部署的 Web 界面,上传视频 → Whisper 本地转写 → 选字幕样式模板(字体/KTV 高亮/位置)→ FFmpeg 烧制 → 下载成片,附批量队列、SRT 导出和失败重试;暂不做多语言配音和团队协作。

竞品:Submagic、CapCut、Veed.io、Descript、whisperX / stable-ts 等开源转写方案、本帖发布的同款自托管字幕引擎 Kit

摘要:作者因不愿继续为 Submagic、CapCut 付月费,用 FastAPI + Whisper + FFmpeg 做了可自托管、Docker 化的字幕转写与烧制微服务,并直接售卖源码作为可二次开发的 SaaS 后端。这验证了“按分钟计费 + 数据外传”是真实痛点,但同类开源方案和成熟商业产品(Submagic、CapCut、Veed)已非常密集,且帖子本身即是一个竞品发布,新进入者空间有限。