Build a YouTube Video Summarizer Using LangGraph, LangChain & FastAPI (Step-by-Step Tutorial)

Description

Ever wished you could get the summary of a 1-hour YouTube video in seconds? In this video, I’ll show you how to build your own AI-powered YouTube Summarizer App using LangGraph, LangChain , and FastAPI — from start to finish. You’ll learn how to: ✅ Extract YouTube video transcripts ✅ Summarize videos using LangGraph workflows ✅ Find key ideas and keywords automatically ✅ Generate related video suggestions ✅ Build a FastAPI backend to serve it all ✅ Connect it with LangGraph Studio for visual debugging This project is perfect for AI enthusiasts, Python developers, and LangChain learners looking to build a real-world AI app. 📂 What You’ll Build A complete YouTube summarizer app that: 1. Takes a YouTube video URL 2. Extracts the transcript 3. Generates a clean summary 4. Finds keywords and related videos 5. Suggests next steps for learning 🔗 Resources 🧠 Source Code → https://github.com/quikcss/youtube-video-summarizer 🔑 Get your Groq API Key → https://groq.com 📘 FastAPI Docs → https://fastapi.tiangolo.com 🌐 Langchain Youtube Loader → https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript 💬 Timestamps 00:00 - Intro 00:21 - Workflow Overview 01:20 - Let's Get Coding 11:00 - Testing in LangGraph Studio 12:25 - Building FastAPI Server 12:55 - Running FastAPI Server ⚡ If you found this helpful: 👍 Like the video 💬 Comment what you’d like me to build next 🔔 Subscribe for more LangGraph + LangChain projects! #LangGraph #LangChain #FastAPI #PythonProject #AIProject #YouTubeSummarizer #AIAutomation #Groq #MachineLearning #LLM #LangChainTutorial #BuildWithAI