Google Gemini API is the developer interface for building applications on Google's generative models. A single API key gives access to text generation, multimodal analysis of images, video and documents, image generation and editing with the Nano Banana models, video generation, text-to-speech, speech-to-text and agent building. Code samples are provided in Python, JavaScript, Java, Go and plain REST, and developers can choose between the recommended Interactions API and the generateContent API. Long context input lets you pass millions of tokens of unstructured material in one request.
Software engineers, startup founders, data scientists and enterprise platform teams are the main audience. Solo developers can grab an API key and prototype with the cookbook examples, while larger organizations can build production agents and workflows on the same endpoints. Product teams adding summarization, chat or media features to an existing app will find ready-made models for each task. Researchers who need to analyze long documents or hours of video can use the long context support instead of chunking data by hand. Teams working on robotics can also draw on a vision-language model aimed at physical-world reasoning.
Common uses include customer support assistants that answer from company documents, apps that turn voice input into text with speaker detection, studios generating and editing marketing images or short videos, and coding agents that handle long-running engineering tasks. A retail app could describe uploaded product photos, a media company could produce narrated audio with custom voices, and an analytics team could feed in long reports for question answering. Because every capability is exposed over the same API, developers can combine text, image, audio and video steps in one workflow without switching providers.