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Building Multimodal RAG Applications with Google Gemini

Image-to-Text Generation

Explore image-to-text generation using Google Gemini's advanced models. Understand how to process images to create relevant textual descriptions, useful in scenarios like digital archiving. Learn step-by-step implementation including API setup, image handling, and output decoding to build efficient AI-driven content solutions.

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Image-to-text generation

Image-to-text generation involves processing the input image to generate text relevant to that image. It can generate text regarding the details of the image. The Gemini family of models is designed to work well with prompts based on images.

Image-to-text generation using Gemini
Image-to-text generation using Gemini

The best-suited Gemini models for image-to-text generation are gemini-1.5-pro and gemini-1.5-flash.

Let’s understand the image-to-text generation through a use case:

Digital archiving for a historical library

A historical library wants to digitize its extensive collection of artifacts for the public. Many of these books have torn or damaged covers and are written in different languages, making it difficult to read and describe them manually. To speed up the process and reduce manual effort, the authority wants an AI solution to automatically generate book descriptions efficiently based solely on images of books with ...