Turn a TEDx video into AI-ready text and chunks

Created by

Lexxer

Actor

YouTube Transcript API & MCP Server

Extract a complete English transcript from a TEDx talk as clean text, Markdown, and overlapping AI-ready chunks. The tested example includes metadata and uses residential fallback only when direct access is blocked.

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YouTube Transcript API & MCP Serverlexxer/transcriptpack-youtube-transcripts

Status

Title

Video url

Language code

+4 fields

Input

YouTube sources(required)

url:https://www.youtube.com/watch?v=5MgBikgcWnY

Preferred transcript languages:en

Output formats:text+2

Include video metadata:true

Maximum videos:1

Chunk size in characters:6000

Chunk overlap in characters:300

Proxy strategy:residential-fallback

Output fields

Status

Title

Video url

Language code

Word count

Proxy used

Error code

Fetched at

How it works

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The YouTube Transcript API & MCP Server Actor is ready to run with the inputs already set for "Turn a TEDx video into AI-ready text and chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn a TEDx video into AI-ready text and chunks" task

The YouTube Transcript API & MCP Server Actor will start running based on the input automatically. You can also change all the input fields, like youtube sources, preferred transcript languages, and more, to match your specific use case.

Receive the "Turn a TEDx video into AI-ready text and chunks" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, title, video url, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Turn a TEDx video into AI-ready text and chunks" task via API.