Image and document understanding
Reading photos, scans and screenshots into useful data.

Google's Gemini models for features that read images, documents and long text.
The Gemini API gives access to Google's Gemini models. They accept text alongside images, audio and video, and can take very long inputs in one request.
We use it for features that need to understand pictures and documents together, or to analyse large amounts of text at once, with keys kept on the server.
Understands images and documents as well as text.
Analyses large documents in a single request.
Cost-effective for high-volume tasks.
Requests go through your backend, never the browser.
Gemini API is commonly used for:
Use cases
Reading photos, scans and screenshots into useful data.
Summaries and answers across large reports and archives.
First drafts of copy and page layouts for review.
Let's see what Gemini can do with your images and documents.
Technologies that integrate seamlessly with Gemini API
backend
High-level programming language emphasising code readability, used for web development, data science, and automation.
backend
Modern Python web framework for fast, typed APIs, with automatic OpenAPI documentation.
backend
JavaScript runtime built on Chrome V8 engine for scalable network applications and server-side development.
frontend
Full-stack React framework with server-side rendering, static generation, and API routes for production applications.
mobile
Apple's declarative framework for native iPhone, iPad and Mac apps, written in Swift.
Explore how Gemini API fits into your technology stack or compare it with alternatives
Not sure which approach is right for you? Explore all our technologies to learn more.