Gemini API

Google's advanced generative AI API for multimodal content and reasoning tasks.

Gemini API provides access to Google's next-generation generative AI models capable of text, image, video, and structured data generation. It allows developers to integrate advanced AI features such as content creation, reasoning, and multimodal understanding into their applications.

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About Gemini API

What is Gemini API?

The Gemini API from Google enables developers to harness the power of the Gemini family of AI models, including Gemini 2.5 Flash, Gemini 2.5 Pro, and specialized image and video generation models like Nano Banana and Veo 3.1. The API supports text generation, structured outputs, image generation, video creation, embeddings, and long-context understanding. It is designed for a wide range of applications, from automated content creation and conversational AI to multimodal analysis and retrieval-augmented generation workflows. Gemini API provides client libraries in Python, JavaScript, Java, and Go, and offers REST endpoints for flexible integration, making it suitable for production-grade AI applications.

How to use Gemini API?

To use Gemini API, you can access their platform through their website. You'll need to sign up for an account and obtain API keys. The platform documentation provides details on how to make requests and integrate the models into your applications.

What Are the Key Features of Gemini API?

Text Generation

Image Generation

Video Generation

Structured Outputs

Embeddings and Retrieval

Long Context Understanding

Multimodal Support

Client Libraries and REST API

View all Gemini API features →

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