Youtube Transcript FAQs

Question 1

What are the key dependencies?

Accepted Answer

The API relies on libraries like `youtube-transcript-api`, `pytube`, `whisper`, `torch`, `langdetect`, `flask` (for REST), and `mcp` (for the MCP server).

Question 2

What are the different ways to use the API?

Accepted Answer

You can use it through the REST API (Flask) by sending HTTP requests or through the MCP server, which provides dedicated tools for transcript extraction and YouTube video searching.

Question 3

How does the API handle videos without transcripts?

Accepted Answer

If a transcript isn't available, the API utilizes the Whisper model to perform audio transcription, converting the spoken content into text.

Question 4

What is the YouTube Transcript API?

Accepted Answer

It's a Python-based API that allows you to fetch existing YouTube video transcripts or, if none are available, transcribe the audio using Whisper. It offers both REST API (Flask) and MCP server interfaces.

Question 5

What languages are supported?

Accepted Answer

The API supports fetching transcripts in English and Vietnamese. For other languages, it uses audio transcription and attempts to automatically detect the language.

Youtube Transcript

Key Features

Use Cases

Youtube Transcript

Key Features

Use Cases