The YouTube Transcript Extractor is an application designed to extract transcripts from YouTube videos, providing both a web-based interface through Streamlit and a desktop application built with PySide6. This tool is useful for individuals who need to access the content of YouTube videos without watching them or for those who wish to analyze the content programmatically.
- Extract Transcripts: Automatically fetches the transcript of a given YouTube video URL.
- Translate Transcripts: Automatically Translate the transcript to Persian Language.
- Display Video Details: Shows the video title, description, and thumbnail.
- Markdown Formatting: Displays the transcript in a structured and readable format using Markdown.
- Error Handling: Provides clear error messages for invalid URLs or videos without transcripts.
- Web-Based Interface: Accessible via web browsers, ideal for users without the need for desktop applications.
- Desktop Application: A standalone Windows application for users who prefer a desktop interface.
- PDF Output: Generates a PDF report of the extracted transcript for offline use or sharing.
You can access a live demo of the YouTube Transcript Extractor at https://youtube2text.streamlit.app/.
To run the web app locally, ensure you have Python and Streamlit installed. If not, install them using pip:
pip install streamlit youtube_transcript_api pytubeThen, clone the repository and run the app:
streamlit run app.pyThis command will launch the app in your default web browser.
For Windows users, a standalone executable is available for download. Simply visit the following link to download the application:
Download YouTube2Text Desktop Windows App
If you wish to run the application from source, ensure you have Python installed and then install the required packages using pip:
pip install PySide6 pytube youtube_transcript_api fpdfThe desktop application allows users to generate a PDF report of the extracted transcript. This feature is particularly useful for users who need to share the transcript with others or use it offline. Output Example
- Enter the YouTube video URL in the input field.
- Click the "Extract Transcript" button.
- The app will fetch the video details and transcript, displaying them in a structured format.
- Launch the application by running
youtube2text_Desktop.py. - Enter the YouTube Playlist or Video URL in the provided field.
- Click the "Convert to Book" button to start the conversion process.
- Save the generated PDF to your preferred location.
This application is built using Python, Streamlit for the web app, and PySide6 for the desktop application. It leverages pytube for downloading video thumbnails, youtube_transcript_api for fetching video transcripts, and fpdf for generating PDF documents in the desktop application.
Contributions are welcome! If you've found a bug or have a feature request, please open an issue on GitHub. If you'd like to contribute code, please fork the repository and submit a pull request with your changes.
This project is licensed under the MIT License. See the LICENSE file for details.
For any questions, comments, or suggestions, please feel free to reach out at shojaei.dev@gmail.com.
The YouTube Transcript Extractor is a versatile tool that bridges the gap between online content and offline accessibility, making YouTube content more accessible for those who prefer to read in a more traditional format. Whether you're a developer looking to integrate YouTube content analysis into your projects or a user seeking a convenient way to access YouTube video transcripts, this tool is designed to meet your needs.