Developed YouTube video download and transcription script

• Day: 2024-04-26
• Time: 12:25 to 12:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Youtube, Automation, Speech-To-Text, Yt-Dlp

Description

Session Goal

The objective of this session was to develop a Python script for downloading YouTube videos and transcribing their audio using Google Cloud’s Speech-to-Text API.

Key Activities

• A step-by-step guide was provided to download YouTube videos and transcribe audio using Python, youtube-dl, ffmpeg, and Google Cloud’s Speech-to-Text API.
• Troubleshooting steps for youtube-dl errors were explored, including updating the tool and using yt-dlp as an alternative.
• Detailed explanation and resolution steps for RegexNotFoundError in youtube-dl were discussed.
• Correct usage of youtube-dl command with the --verbose flag was explained, along with a recommendation to use yt-dlp for better performance.
• A solution was provided for switching from youtube-dl to yt-dlp, including installation instructions and commands for downloading videos and extracting audio.
• A modified Python script using yt-dlp for downloading audio was developed.
• Setup guide for Google Cloud Speech-to-Text API was outlined, covering account creation, project setup, API enabling, authentication, and Python script for transcription.

Achievements

• Successfully developed a Python script for downloading and transcribing YouTube videos using yt-dlp and Google Cloud’s API.
• Resolved common issues with youtube-dl by transitioning to yt-dlp.

Pending Tasks

• Further testing of the transcription accuracy and performance of the developed script.
• Explore additional features or optimizations for the script.

Evidence

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• event_ids: []