📅 2024-04-26 — Session: Developed YouTube video download and transcription script
🕒 12:25–12:50
🏷️ Labels: Python, Youtube, Automation, Speech-To-Text, Yt-Dlp
📂 Project: Dev
⭐ Priority: MEDIUM
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
RegexNotFoundErrorin youtube-dl were discussed. - Correct usage of youtube-dl command with the
--verboseflag 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.