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How to use Google Gemma 3 Vision AI for OCR with Visual Language Understanding for Images

How to use Gemma 3 AI for OCR Text Extraction

Traditional Optical Character Recognition apps have several limitations, from font variations to complex layouts and more. We're going to show you a solution that delivers the accuracy and understanding that you've been waiting for.
In this video, we will introduce you to Gemma 3 AI Vision model, for Visual Language Understanding or VLU.
What if AI could not only see the text on images, but also understand the meaning of that text, answer questions about it, and even combine visual and textual information in one place? That's the power of Gemma 3. It's not just OCR; it's also smart image understanding, and it's changing the game. It's like giving your computer eyes and a brain.

💻 repo: https://github.com/TechExpertTutorials/GemmaOCR

▶️ Python, Conda and VSCode Video: https://youtu.be/lGRwEcCHNtA

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OCR related Videos:
▶️ DeepSeek VL2 OCR Video: https://youtu.be/xO2KkZc0Mj0
▶️ Pytesseract OCR Video: https://youtu.be/sbpHUu38BdY
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Other OCR Related Videos/Playlists:
▶️ Google Cloud Vision API (Part 1): OCR Text Extraction Tutorial - https://youtu.be/q8QRd4CUuvs
▶️ Google Cloud Vision API (Part 2): Object Detection Tutorial - https://youtu.be/i2yFD8PsMvQ
▶️ Google Cloud Vision API (Part 3): Landmark Detection Tutorial - https://youtu.be/FZsdFvJLoa0
▶️ Google Cloud Vision API (Part 4): Facial Detection Tutorial - https://youtu.be/sZ4dP6JJhio
▶️ Google Cloud Vision API (Part 5): Label Detection Tutorial - https://youtu.be/s5doqd2VOds
▶️ Google Cloud Vision API Playlist - https://www.youtube.com/playlist?list=PLkTmsEazx3GVcEtCSLauTw4x4NgTSEGqM

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