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Guide: Feed YouTube Playlists into Claude and ChatGPT as Single Files

By PulseAugur Editorial · [1 sources] ·

This guide explains how to feed entire YouTube playlists into large language models like Claude or ChatGPT by converting video transcripts into a single text file. The process involves using `yt-dlp` to download subtitles and then a Python script to merge and deduplicate them into a Markdown file. This allows users to query the entire playlist as a single document, enabling complex questions about content and comparisons between videos. For playlists exceeding model context limits, the guide suggests using Claude Projects or custom GPTs with knowledge files, or employing Model Context Protocol (MCP) for direct transcript fetching by the AI. AI

IMPACT Enables deeper analysis of video content by LLMs, overcoming context window limitations.

RANK_REASON Guide on using existing tools to integrate external data with LLMs.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Guide: Feed YouTube Playlists into Claude and ChatGPT as Single Files

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Guide on using existing tools to integrate external data with LLMs.
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Nidhi ·

    Feed a whole YouTube playlist into Claude or ChatGPT as one file (+ MCP setup)

    <p>Paste a YouTube link into Claude and ask for a summary, and one of three things happens: it tells you it can't open the link, it searches the web and summarizes what other people wrote about the video, or it quietly guesses from the title. None of those is the video.</p> <p>Wh…

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