Automated YouTube Video Transcription Pipeline Development

📅 2024-04-26 — Session: Automated YouTube Video Transcription Pipeline Development

🕒 12:30–12:45
🏷️ Labels: Python, Youtube, Automation, Google Cloud, Transcription
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to develop an automated pipeline for downloading YouTube videos and transcribing their audio using Python and Google Cloud’s Speech-to-Text API.

Key Activities:

• YouTube Video Download and Transcription Script: Developed a Python script using youtube-dl and Google Cloud’s Speech-to-Text API to download and transcribe YouTube videos.
• Troubleshooting youtube-dl Errors: Addressed issues with youtube-dl, including updating the tool and using yt-dlp as an alternative.
• Resolving RegexNotFoundError: Investigated and resolved RegexNotFoundError by updating to yt-dlp.
• Correct Usage of youtube-dl Command: Ensured correct command usage with --verbose flag and explored yt-dlp for improved performance.
• Switching to yt-dlp: Transitioned from youtube-dl to yt-dlp for video downloading and audio extraction.
• Script for Downloading Audio with yt-dlp: Adapted existing scripts for compatibility with yt-dlp.
• Setup Guide for Google Cloud Speech-to-Text API: Set up Google Cloud’s Speech-to-Text service, including API enabling and authentication.

Achievements:

• Successfully developed a script for downloading and transcribing YouTube videos using yt-dlp and Google Cloud’s API.
• Resolved technical issues related to video downloading and transcription.

Pending Tasks:

• Further testing of the transcription accuracy and performance.
• Integration of error handling mechanisms for robust pipeline execution.