Amazon Nova

Amazon Nova is Amazon’s growing family of AI models and services built for businesses, developers, and teams that want to create AI-powered apps at scale. Instead of being just one chatbot, Nova is a broader platform that covers text generation, image creation, video generation, speech AI, embeddings, and browser automation agents.

If you already use AWS, Amazon Nova can feel like a natural next step. It runs through Amazon Bedrock and gives teams access to multiple model types depending on what they want to build, from simple chat tools to creative media workflows and advanced automation systems.

What is Amazon Nova?

Amazon Nova is a portfolio of foundation models and AI services from Amazon Web Services (AWS). The platform includes text and multimodal models such as Nova Micro, Lite, Pro, and Premier, creative models like Nova Canvas for image generation and Nova Reel for video generation, speech models like Nova Sonic, and agent tools such as Nova Act.

In simple terms, Amazon Nova is designed to help people build AI applications that can understand text, images, video, documents, code, and speech. It is aimed more at builders and organizations than casual consumers, although Amazon also offers nova.amazon.com as a way to experiment with some Nova experiences more easily.

Who created Amazon Nova?

Amazon Nova is developed by Amazon Web Services, the cloud computing division of Amazon. AWS positions Nova as part of its wider AI ecosystem, especially within Amazon Bedrock, which is the company’s managed platform for working with foundation models through a single API.

Main features of Amazon Nova

One of Amazon Nova’s biggest strengths is range. It is not limited to a single model or one type of output.

Here are the main capabilities users should know about:

Multimodal understanding: Nova models can work with text, images, video, documents, and in some cases code, making them useful for more than just plain text chat.

Creative generation: Nova Canvas generates images, while Nova Reel is built for video generation from text and image inputs.

Speech AI: Nova Sonic supports conversational speech experiences with low latency, making it useful for voice assistants and customer service tools.

Agent workflows: Nova Act is built for browser-based task automation, which can help teams create AI agents that interact with web interfaces.

Embeddings and search: Amazon also offers multimodal embeddings for semantic search and retrieval-augmented generation workflows.

AWS integration: Since Nova is part of the AWS ecosystem, it fits naturally into enterprise development environments and cloud workflows.

Who is Amazon Nova best for?

Amazon Nova is best suited for developers, startups, enterprises, product teams, and technical organizations that want to build custom AI applications. It is especially useful for teams already working inside AWS.

Common target users include software developers building chat apps, companies creating internal copilots, marketing teams generating visual assets, businesses building voice assistants, and enterprise teams automating repetitive browser workflows.

If you are looking for a plug-and-play consumer chatbot, Nova may feel more technical than tools built for everyday personal use. But if you want flexibility and infrastructure-level control, it becomes much more attractive.

Common use cases

Amazon Nova supports a wide variety of real-world use cases.

Some of the most common include creating AI chat assistants, generating marketing copy, summarizing documents, analyzing videos and images, building retrieval systems with embeddings, generating product visuals, producing short AI videos, powering voice applications, and automating browser tasks with AI agents.

Because the model family is broad, companies can often use different Nova tools for different layers of the same product.

How to use Amazon Nova

There are two main ways to get started with Amazon Nova: through Amazon Bedrock or through the Nova web experience.

Using Amazon Nova in Amazon Bedrock

The developer-focused route is through Amazon Bedrock. First, create or sign in to an AWS account. Then open Amazon Bedrock, request or enable access to the Nova models you want to use, and test prompts in the Bedrock playground.

From there, you can move into API-based usage. Developers can call Nova models through Bedrock APIs to build chatbots, content tools, image workflows, voice applications, and automation systems inside their own software.

This is the best option for production use because it gives you access to AWS infrastructure, security controls, scaling, and integration options.

Using nova.amazon.com

Amazon also provides nova.amazon.com for easier experimentation. This is helpful if you want to explore model behavior, test ideas, or try certain Nova experiences without jumping straight into a full AWS workflow.

For example, Amazon documentation says Nova Act can be explored in a hosted playground at nova.amazon.com/act, where users can log in and test browser automation workflows before moving to local development.

Supported platforms

Amazon Nova is primarily cloud-based. The main access point is through AWS and Amazon Bedrock, which means it works across platforms through the browser, console, and API. In practice, that makes it available on Windows, Mac, and Linux environments, as long as you can access AWS services or web-based Nova tools.

For development teams, the most important platform support is API access rather than a standalone desktop app.

Integrations

The biggest integration advantage is with AWS itself. Amazon Nova works within Amazon Bedrock and can be connected with broader AWS services as part of larger applications and workflows.

Amazon also notes that developers can prototype some agent workflows quickly and refine them in tools like VS Code before deployment. For technical teams, this makes Nova more of a buildable platform than a single-purpose app.

Pricing and free access

Amazon Nova uses usage-based pricing through AWS, so costs depend on the specific model and how much you use it. That means it is not a simple flat monthly subscription in the way many consumer AI tools are.

The pricing page shows separate pricing for different Nova model families and capabilities, including creative generation models such as Nova Canvas and Nova Reel, speech models like Nova Sonic, and other Nova services.

As for free access, AWS states that new AWS customers can receive up to $200 in AWS credits to try AWS AI services. Amazon also points users to nova.amazon.com and nova.amazon.com/dev as ways to experiment or start building for free, which makes the overall pricing model best described as freemium rather than fully free.

What makes Amazon Nova stand out?

Amazon Nova stands out because it combines several AI capabilities under one AWS-centered umbrella. Instead of forcing teams to stitch together separate vendors for text, image, video, speech, search, and agents, Nova gives them a growing ecosystem inside Amazon’s cloud stack.

Another strong point is flexibility. A company can start with simple text generation, then expand into image creation, video generation, voice experiences, or browser agents without leaving the same broader platform.

That said, Nova is more appealing to technical users than beginners. People who want a fast consumer tool for casual tasks may prefer simpler AI apps, while developers and enterprises will likely get the most value here.

Final thoughts

Amazon Nova is best thought of as an AI platform, not just a single tool. It gives developers and businesses access to multiple AI models for understanding, generation, search, speech, and automation, all tied into the AWS ecosystem.

If you are already building on AWS or want a scalable foundation for custom AI products, Amazon Nova is definitely worth exploring. It is especially useful for teams that want enterprise-ready infrastructure, multimodal support, and room to grow into more advanced AI use cases over time.