Translating and Captioning Text in Images/Frames (AI Pipeline, Google Cloud)

Learn how to create a powerful vision AI pipeline using Google Cloud Platform (GCP) services. This tutorial walks you through building a smart, multilingual system that processes images, extracts text, translates it, and adds captions in your chosen language.

Key topics covered:
• Setting up GCP services (Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, Artifact Registry, Eventarc, Cloud Logging, Cloud Storage, Vision API)
• Creating a serverless workflow for image processing
• Implementing text extraction with Cloud Vision API
• Translating extracted text with Cloud Translation API
• Adding captions to images programmatically

This step-by-step guide includes:
✅ Environment setup in GCP
✅ Creating Cloud Storage buckets and Pub/Sub topics
✅ Implementing and deploying three key Cloud Functions
✅ Real-time testing and monitoring of the pipeline

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0:00 Conceptual Overview
3:00 Cloud Storage Buckets
3:38 PubSub Topics
4:58 Process Image Function (Python)
8:22 Translate Text Function (Python)
11:15 Save Image Function (Python)
13:55 Package Requirements and Triggers
15:01 Captioning/Translation Testing

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