The Secret to Perfect Long-Video Transcriptions Using AI + Cloud Run

🔥 Learn how to set up automatic video slicing for transcription and cut processing time from 10 minutes to 10 seconds using Google Cloud Run and AI!

⏱️ TIMECODES

00:00 – Introduction: from 10 minutes of manual slicing to 10 seconds of automation.
00:30 – The problem: why the Google Video Analytics node glitches after 5 minutes.
01:15 – The solution: moving the slicing script to Google Cloud Run.
01:45 – Workflow demonstration (uploading video from Google Drive).
02:40 – How to use the transcription to create a well-structured video outline with AI.
03:30 – Setup: slicing parameters (video, audio, formats).
04:30 – How to use the entire Google Cloud infrastructure for free.
05:30 – Deploying the service using Cloud Code and voice prompts.

🎯 WHAT YOU WILL LEARN:

✅ How to fully automate video slicing and eliminate manual work.
✅ How to bypass the 5-minute technical limit of the Google Video Analytics node.
✅ Using Google Cloud Run to deploy the script with a minimal (zero) instance count.
✅ Setting up the project ID and bucket ID for temporary storage of sliced files (files auto-delete after 24 hours).
✅ How to use full transcription (including what happens on the screen) to improve your content.

Traditional workflows required manual video slicing because the Google Video Analytics node starts behaving “wonky” on videos longer than 5 minutes. Instead of verbatim transcription, it produces a condensed summary. Manual slicing took about 10 minutes before each transcription.

✨ THE SOLUTION (describing the approach and result):
An existing local script was migrated to Google Cloud Run. Now the service automatically slices long videos into segments (e.g., 5-minute parts), ensuring full and accurate transcription from Google Video Analytics. This reduces processing time from 10 minutes to 10 seconds.

#GoogleCloudRun #VideoAnalytics #Automation #AITranscription #GoogleCloudCLI #NoCode

📚 USEFUL LINKS:

GitHub project: https://github.com/Learn-AI-with-Ned/video...

Transcriber demo (first video):
https://drive.google.com/drive/folders/16A...

Comment below if you want me to record a video about this sooner.

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