
quickvid
Your AI-Powered YouTube Video Summarization Tool
Stars: 81

QuickVid is an open-source video summarization tool that uses AI to generate summaries of YouTube videos. It is built with Whisper, GPT, LangChain, and Supabase. QuickVid can be used to save time and get the essence of any YouTube video with intelligent summarization.
README:
Your AI-Powered Video Summarization Tool
Introduction · Installation · Tech Stack · Implementation · Contributing · Snapshots
QuickVid is an open-sourced video summarization tool built with Whisper, GPT, LangChain & Supabase.
With QuickVid, you can save time and get the essence of any YouTube video with our intelligent summarization.
- Clone the Repository
git clone https://github.com/metaloozee/quickvid cd quickvid
- Install Dependencies
[pnpm | npm | yarn] install
- Set Environment Variables
replaceNEXT_PUBLIC_SUPABASE_URL=your_supabase_url NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
your_supabase_url
andyour_supabase_anon_key
with the actual values of your Supabase project. - Run the Application
this will launch the application, and you can access it by visiting
[pnpm | npm | yarn] run dev
http://localhost:3000
in your web browser.
- Clone the Repository
git clone https://github.com/metaloozee/quickvid cd quickvid
- Set Environment Variables
replaceNEXT_PUBLIC_SUPABASE_URL=your_supabase_url NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
your_supabase_url
andyour_supabase_anon_key
with the actual values of your Supabase project. - Build the Docker Image
docker build -t quickvid .
- Run the Docker Container
this will launch the Next.js application inside the Docker container, and you can access it by visiting http://localhost:3000 in your web browser.
docker run -p 3000:3000 --env-file .env.local quickvid
- Next.js – Framework
- Typescript – Language
- Whisper - Speech-to-Text
- LangChain - AI Summarization Chain
- Supabase – Database & Storage
- shadcn/ui - UI Component Library
- Tailwind – CSS
QuickVid is built as a standard Next.js application with the shadcn/ui template kit. The following technologies and services are used:
ytdl-core is used to download the YouTube video as an audio file.
Supabase Storage is used as an Amazon S3 alternative to store and serve the audio files generated by ytdl-core.
OpenAI's Whisper is used to perform speech-to-text operation on the particular audio file.
LangChain is used to process the transcript using its Summarization Chain which summarizes a document by dividing it into small chunks.
We love our contributors! Here's how you can contribute:
- Open an issue if you believe you've encountered a bug.
- Make a pull request to add new features/make quality-of-life improvements/fix bugs.
- Ayan (@metaloozee)
QuickVid is open-sourced under the GNU General Public License Version 3 (GPLv3) or any later version. You can find it here
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