Use Case

Build AI Chatbots Over YouTube Videos

The Problem

Users want to ask questions about video content without watching entire videos. Building a chatbot that understands video content requires reliable transcript extraction, intelligent chunking, and a conversational interface. Existing solutions are fragile and break when YouTube changes their page structure.

The Solution

YouTubeTranscripts.co gives you a stable, production-grade API for extracting video transcripts. Feed the transcript into GPT-4, Claude, or any LLM to create conversational interfaces. Users can ask specific questions and get answers with timestamps linking back to the original video.

Implementation Example

import httpx
from openai import OpenAI

# 1. Get transcript
transcript_resp = httpx.get(
    "https://api.youtubetranscripts.co/v1/transcript",
    params={"url": "https://youtube.com/watch?v=VIDEO_ID", "format": "text"},
    headers={"x-api-key": "YOUR_API_KEY"},
)
transcript = transcript_resp.json()

# 2. Chat with the video
client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": f"You are a helpful assistant. Answer questions based on this video transcript:\n\n{transcript['text']}"},
        {"role": "user", "content": "What are the key takeaways from this video?"},
    ],
)
print(response.choices[0].message.content)

Why Developers Choose YouTubeTranscripts.co

Let users ask questions about any YouTube video

Include timestamps in answers for easy navigation

Works with GPT-4, Claude, Gemini, and open-source LLMs

Build Slack bots, Discord bots, or web chat interfaces

Process entire playlists for comprehensive knowledge bases

Monetize as a SaaS product or internal tool

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