- What the OpenAI API is
- The main parts of the OpenAI API
- What a small business can do with the OpenAI API
- How to get started with the OpenAI API
- Keeping your OpenAI API key secret
- OpenAI API data and privacy
- Reviewing what you build with the OpenAI API
- OpenAI API versus ChatGPT: what people confuse
- Is the OpenAI API right for your business?
- Frequently asked questions
The OpenAI API is how software connects to OpenAI's AI models, so businesses can build text, image and voice features into their own websites and tools. You create an API key in the dashboard and send requests with an official library. The catch: your key is a secret and mustn't appear in browser or app code.
You use ChatGPT by typing into a chat window. The OpenAI API is how other software talks to OpenAI's models without anyone typing. If a developer has told you that a tool "uses the OpenAI API", or you're wondering whether your business could build something similar, this is the plain-English version.
I'll cover what the OpenAI API is, what it can do, how getting started works and the safety rules around keys and data. All of it comes from OpenAI's own developer documentation.
What the OpenAI API is
An API, short for application programming interface, is a way for one piece of software to ask another to do something. OpenAI's quickstart describes the OpenAI API as a consistent interface to its AI models for text generation, natural language processing, computer vision and more.
In practice, your software sends a request, for example a customer's question and some instructions, and the API sends back the model's answer. That's how businesses put AI into their own websites, apps and workflows.
The main parts of the OpenAI API
OpenAI's API reference asks you to choose which part of the API suits your application:
| Part of the OpenAI API | What it's for |
|---|---|
| Responses | Direct requests to models, including tool use, audio, image and text inputs, and conversations that keep their state |
| Realtime API | Low-latency voice or audio sessions |
| Administration | Organisation tasks such as users, projects, API keys and audit logs |
The documentation also has guides for text generation, code generation, structured output, reasoning models, images and vision, image generation, audio and speech, and building agents. Models change often, so check OpenAI's model pages when you start a project rather than relying on an article from a different time.
What a small business can do with the OpenAI API
- Answer common customer questions on your website, based on your own help pages.
- Read incoming enquiries and draft a first reply for a person to check.
- Summarise long documents, call notes or meeting recordings.
- Pull details such as names, dates and order references out of emails.
- Describe or sort images, such as product photos.
- Add a voice assistant to a phone line or an app.
Many of these jobs start life as a good prompt in a normal chat. If you want to see how far you can get before involving a developer, my guide to using prompts for coding work shows how to ask clearly for code.
How to get started with the OpenAI API
OpenAI's quickstart gives this route:
- Create an API key in the OpenAI dashboard.
- Store the key safely and set it as an environment variable on your computer, named OPENAI_API_KEY.
- Install an official library. The docs show npm for JavaScript and pip for Python, and list other languages including .NET, Java, Go and Ruby.
- Send your first request to the Responses API using the quickstart example.
- Before going live, read the pages on error codes, rate limits and request ID logging.
You can also call the HTTP API directly from anything that can send web requests, so you're not tied to one programming language.
Keeping your OpenAI API key secret
OpenAI puts it bluntly: your API key is a secret. It's what lets software act on your account, so treat it like a password.
- Don't share the key with others or put it into a chat, email or shared document.
- Don't put it in code that runs in a browser or an app on someone's phone. OpenAI says to load keys from an environment variable or a key management service on the server.
- Don't paste it into prompts, including prompts to an AI coding assistant.
- Use separate keys for separate projects where you can, so one can be switched off alone.
- If a key leaks, revoke it straight away. OpenAI says revocations take effect within a few seconds.
OpenAI API data and privacy
OpenAI's data controls page says data sent to the OpenAI API isn't used to train or improve its models unless you explicitly opt in. It also explains that, by default, abuse monitoring logs are generated for API usage and kept for up to 30 days, unless the law requires longer. Organisations can apply for stricter controls such as Zero Data Retention, but OpenAI says those need prior approval.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
If you handle customer information, read that page before you build, and think about whether the data needs to go to the API at all. It's also worth keeping your own privacy notice up to date, which I explain in my work as an AI consultant.
Reviewing what you build with the OpenAI API
If an AI tool wrote the code for you, or a freelancer did, ask for these checks before anything touches customers:
- Read through the code, or have someone who can, before you run it.
- Test with real, awkward examples from your business, not tidy made-up ones.
- Make sure a person checks answers that affect customers, such as refunds or advice.
- Log request IDs in production, as OpenAI recommends, so problems are easier to trace.
- Check rate limits and error handling so the tool fails politely rather than breaking.
OpenAI API versus ChatGPT: what people confuse
- The API versus the ChatGPT app: ChatGPT is for people chatting directly. The API is for software.
- Your ChatGPT login versus an API key: they're separate ways in. The key belongs in your software's settings, never in a chat.
- The API versus Codex: Codex is a ready-made coding assistant, while the API is a building block you use to make your own tools.
- A prompt versus an integration: a prompt is the instruction. The integration is the code that sends it and handles the answer.
Is the OpenAI API right for your business?
If you have a repeated job with text, documents, images or audio, and someone who can build a small integration, it's worth a trial on one narrow task. Keep a person in the loop at first, and widen it only when you trust the results.
Frequently asked questions
What is the OpenAI API?
It's how software connects to OpenAI's AI models, so developers can add text, image, audio and other AI features to their own websites, apps and workflows.
How do I get an OpenAI API key?
Create one in the OpenAI dashboard, store it safely and set it as an environment variable. OpenAI's SDKs read it automatically from your system environment.
Is the OpenAI API the same as ChatGPT?
No. ChatGPT is the chat app for people, while the API is for software to send requests to OpenAI's models.
Does OpenAI use API data to train its models?
OpenAI says data sent to the API isn't used to train or improve its models unless you explicitly opt in.
Do I need to be a developer to use the OpenAI API?
You need to be able to call it from software, either with an official library or direct web requests. Many small businesses work with a freelancer or a no-code tool to do this.
What should I never do with my API key?
Never share it, put it in browser or app code, or paste it into prompts. OpenAI says to load keys from an environment variable or key management service on the server.


