Youtube Transcript

Youtube Transcript

A Python service that provides a YouTube video transcription API, supporting REST and MCP interfaces, with multi-language transcription, automatic detection, and audio transcription fallback functions.

Voice processing Education and learning tools #Video transcription #Multi-language #API service #Automatic detection .Python

rating : 2 points

downloads : 15

update time : 2025-04-29

What is the YouTube Transcript API?

This is a convenient tool that helps users obtain subtitles for YouTube videos. It can automatically obtain official subtitles and generate subtitle content through speech recognition technology when subtitles are unavailable. It supports multiple languages such as English and Vietnamese.

How to use the YouTube Transcript API?

You can obtain video subtitles through simple API calls. The system provides two usage methods: through the web interface (REST API) or directly using the command-line tool (MCP server).

Use cases

Suitable for researchers, content creators, and educators who need to obtain YouTube video subtitles in batches. It is also applicable to the development of various applications that need to convert video content into text.

Main features

Multi-language supportSupports obtaining subtitles in multiple languages such as English (en) and Vietnamese (vi), and can automatically detect the video language

Intelligent fallback mechanismWhen official subtitles are unavailable, automatically use the Whisper speech recognition technology to generate subtitles

Dual-interface supportProvides both REST API and MCP server usage methods to meet the needs of different scenarios

Advantages and limitations

Advantages

Simple and easy-to-use API interface design

Automatically handle the complex processes of subtitle acquisition and speech recognition

Support long video processing and provide progress feedback

Automatically clean up temporary files to save storage space

Limitations

Speech recognition takes a long time to process long videos

The recognition accuracy may decrease for videos with certain special accents or noisy backgrounds

Requires installing the Python environment and related dependency libraries

How to use

Install dependencies

Ensure that Python 3.7+ is installed, and then run the following command to install the required dependency libraries

Start the service

Select the service mode you need to start: REST API or MCP server

Call the API

Call the corresponding functions through HTTP requests or the MCP protocol

Usage examples

Obtain subtitles for educational videosA teacher needs to prepare course materials and wants to obtain the subtitles for teaching videos on YouTube

Research video content analysisResearchers need to analyze the text content of multiple YouTube videos

Frequently Asked Questions

How to obtain the video ID?

How long does speech recognition take?

Which languages are supported?

Related resources

YouTube Transcript API documentation

Detailed documentation for the official subtitle API

Whisper speech recognition project

Project page for the speech recognition engine used

Flask framework tutorial

Documentation for the Web framework used by the REST API

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