Video Digest

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, providing multiple transcription service options.

Voice processing Education and learning tools #Video Processing #Speech Transcription #Content Extraction #Multi - platform Support .Python

rating : 2.5 points

downloads : 29

update time : 2025-04-28

What is MCP Video Digest?

MCP Video Digest is a service that can extract audio from multiple video platforms (such as YouTube, Bilibili, TikTok, etc.) and convert it into text. It supports multiple transcription service providers, such as Deepgram, Gladia, Speechmatics, and AssemblyAI.

How to use MCP Video Digest?

Through simple configuration and API calls, you can easily obtain transcription results from specified video links.

Applicable Scenarios

Suitable for scenarios that require quick summaries of video content, such as meeting records, course notes, or content analysis.

Main Features

Multi - platform SupportSupports streaming content download and audio extraction from over 1000 websites.

Multiple Transcription ServicesSupports multiple transcription services such as Deepgram, Gladia, Speechmatics, and AssemblyAI.

Flexible Service SelectionAutomatically selects the optimal transcription service based on the configured API key.

Asynchronous Processing DesignAdopts an asynchronous processing mechanism to improve concurrent performance.

Error Handling and LoggingHas complete error handling and logging functions.

Speaker SeparationSupports separate processing of voices from different speakers.

Advantages and Limitations

Advantages

Supports multiple video platforms

Provides multiple transcription service options

Flexibly selects the optimal service

Efficiently processes a large number of requests

Has a perfect error handling mechanism

Limitations

Some functions may be restricted by the API limitations of third - party services

Has certain requirements for local hardware

Requires API key configuration

How to Use

Install Dependencies

Ensure that Python 3.11 or a higher version is installed, and install dependencies through the uv tool.

Clone the Project

Clone the project code from GitHub and enter the project directory.

Configure Environment Variables

Create a.env file in the project root directory and fill in the API keys.

Start the Service

Use the uv tool to start the MCP Video Digest service.

Usage Examples

YouTube Video TranscriptionExtract audio from a YouTube video and generate a transcription text.

Bilibili Video TranscriptionExtract audio from a Bilibili video and generate a transcription text.

Frequently Asked Questions

How to apply for an API key?

Is there a free trial period for the service?

Does it support local model acceleration?

Related Resources

MCP Official Documentation

Understand the basic concepts and usage methods of the MCP protocol.

GitHub Project Address

View the project source code and the latest updates.

YouTube Cookie Generator Tool

Quickly generate YouTube login cookies.

🚀 MCP Video Digest Project Documentation

MCP Video Digest is a powerful tool designed to download and transcribe videos from multiple sources. It can also generate video summaries, offering a comprehensive solution for video processing.

🚀 Quick Start

MCP Video Digest simplifies the process of downloading and transcribing videos. With support for multiple video sources and transcription services, it's an all - in - one tool for your video needs.

✨ Features

Multi - source Download: Supports downloading streaming content from various websites such as YouTube and Vimeo.
Audio Transcription: Provides audio transcription capabilities in multiple languages.
Automatic Summary Generation: Automatically generates video summaries.
API Integration: Supports API integration for seamless incorporation into other systems.

📦 Installation

Clone the project repository.
Install the dependencies:
```
pip install -r requirements.txt
```

💻 Usage Examples

Basic Usage

Download a Video

from services.download import YouTubeDownloader

downloader = YouTubeDownloader(url="https://www.youtube.com/watch?v=...")
video_path = downloader.download()  # Returns the path of the downloaded file

Transcribe Audio

from services.transcription import get_transcription_service

service = get_transcription_service(api_key="your_api_key")
transcript = service.transcribe(audio_file_path)

Advanced Usage

The tool offers flexibility in choosing different transcription services. You can select the most suitable one based on your usage volume and language requirements.

📚 Documentation

Supported Transcription Services

Speechmatics: Offers 8 free hours per month and supports multiple languages.
Gladia: Provides 10 free hours per month and supports multiple languages.
AssemblyAI: Has a free quota of $50 per month and supports multiple languages.
Deepgram: Offers a free quota of $200 per month and supports multiple languages.

Error Handling

The project has a built - in error - catching mechanism that can handle the following situations:

Invalid API keys
Network connection issues
Service quota limitations

Notes

⚠️ Important Note

Ensure that your system has sufficient disk space for temporary file storage.

Read the terms of use of each transcription service provider before use.

💡 Usage Tip

It is recommended to configure error handling and logging in a production environment.

🔧 Technical Details

Project Structure

src/
├── services/
│   ├── download/          # Download module
│   │   └── __init__.py
│   └── transcription/     # Transcription module
│       └── __init__.py
├── main.py                # Main program entry
└── requirements.txt        # Dependency management file