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Supabase
OpenAI (ChatGPT, Whisper)

Connect Supabase and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations

Explore ready-made Supabase and OpenAI (ChatGPT, Whisper) templates and start automating in minutes.

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Create a custom workflow

Transform your Supabase database events into intelligent AI-powered actions with OpenAI (ChatGPT, Sora, DALL-E, Whisper) through Make. Automatically generate content, create images, transcribe audio, and produce videos whenever your data changes—no coding required, just automated workflows that turn database triggers into creative AI responses

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Supabase
Trigger: Watch Events
OpenAI (ChatGPT, Whisper)
Action: Select an action
1. Select a trigger

  • Triggers when a record has been created, updated or deleted.

2. Select an action

  • Analyzes images according to specified instructions.

  • Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.

  • Creates and executes a batch of API calls.

  • Creates a new skill.

  • Creates a new immutable skill version.

  • Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.

  • Deletes an existing conversation.

  • Deletes an existing model response.

  • Deletes a skill. This action cannot be undone.

  • Deletes a skill version. This action cannot be undone.

  • Deletes a vector store. This action cannot be undone.

  • Downloads a file from a container.

  • Downloads a skill as a ZIP file using its ID.

  • Downloads a skill version as a ZIP file.

  • Creates an edited or extended image given one or more source images and a prompt.

  • Generates a chat completion.

  • Qualifies whether the provided image or text(s) contains violent, hateful, illicit or adult content.

  • Generates a response.

  • Transcribes an audio to text.

  • Translates an audio to English.

  • Creates an embedding vector representing the input text.

  • Generates images using GPT Image.

  • Generates an audio file based on text input and settings.

  • Retrieves details of the specified batch.

  • Retrieves an existing model response.

  • Returns information about a specific skill by its ID.

  • Returns information about a specific skill version.

  • Performs an arbitrary authorized API call.

  • Generates text responses from prompts without requiring an account or connection.

  • Identifies information in a prompt's text and returns it as structured data.

  • Updates the default version pointer for a skill.

  • Uploads a file to be used across the OpenAI platform.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connecting OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Supabase through Make enables you to build automated workflows where OpenAI (ChatGPT, Sora, DALL-E, Whisper) acts as a trigger and Supabase performs actions based on those triggers. When changes occur in your OpenAI (ChatGPT, Sora, DALL-E, Whisper) database, such as new records or updates, these events automatically trigger Supabase to perform actions like generating content with ChatGPT, creating images with DALL-E, transcribing audio with Whisper, or generating videos with Sora. This integration allows database events in OpenAI (ChatGPT, Sora, DALL-E, Whisper) to initiate AI-powered responses through Supabase, enabling you to process data intelligently and automate content creation workflows without complex coding

Analyze images (Vision)
Analyzes images according to specified instructions.
Action
Cancel a batch
Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.
Action
Create a batch
Creates and executes a batch of API calls.
Action
Create a Bucket
Creates a new storage bucket.
Action
Create a Row
Creates a new row in an existing table.
Action
Create a skill
Creates a new skill.
Action
Create a skill version
Creates a new immutable skill version.
Action
Create a vector store or add files
Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.
Action
Delete a Bucket
Deletes a storage bucket.
Action
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How to set up Supabase and OpenAI (ChatGPT, Whisper) in 5 easy steps

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Step 1

Get your Supabase project credentials

Log into your Supabase account and open the project you want to connect. At the bottom of the project page, you'll find two important pieces of information: your API Key and Project ID. Copy both of these and save them somewhere safe, as you'll need them to complete the connection in Make.

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Step 2

Open your Make scenario and add Supabase

Log into your Make account and navigate to the scenario where you want to use Supabase. Search for Supabase in the available apps list and add a Supabase module to your workflow. This module will serve as the bridge between Make and your Supabase project.

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Step 3

Start creating the connection

Inside the Supabase module you just added, look for the option to create a new connection. Click on 'Create a connection' to open the connection form. This is where you'll enter the credentials you copied from your Supabase project.

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Step 4

Enter your Supabase credentials

In the connection form, paste your Project ID into the Project ID field and your API Key into the API Key field. You can also give your connection a descriptive name to help you identify it later, especially if you plan to work with multiple Supabase projects. Make sure there are no extra spaces when pasting your credentials.

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Step 5

Save and complete the connection

Click the Save button to finalize your connection setup. If Make asks you to authenticate or confirm access, follow the prompts to complete the process. Once successful, your Supabase connection is ready to use, and you can now automate workflows between Supabase and other apps in your Make scenarios.

AI-powered database automation with Supabase and OpenAI

Connect Supabase and OpenAI using Make to automate intelligent database operations, generate AI-powered content, analyze data patterns, and create context-aware chatbots with integrated workflows.

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Intelligent database operations with AI

Automatically generate, analyze, and optimize database queries using OpenAI's language models to interact with your Supabase Postgres database without manual SQL coding.

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AI-powered content generation and storage

Generate text, images, or audio content with OpenAI models and automatically store the results in Supabase tables or storage buckets for efficient content management.

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Smart data analysis and insights

Extract data from Supabase and leverage ChatGPT to analyze patterns, generate reports, and create actionable insights from your database information.

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Automated user support with context

Combine Supabase user data and authentication with OpenAI to create personalized, context-aware chatbot responses based on real-time database information.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

With Make, you can create powerful automations that combine Supabase's robust Postgres database with OpenAI's advanced AI capabilities. For example, you can set up workflows that automatically generate product descriptions, user responses, or content summaries using ChatGPT and instantly store them in your Supabase database. This integration eliminates manual data entry, ensures consistency, and lets you leverage AI-generated content at scale. Make's visual interface makes it easier to connect these services without writing complex code, allowing you to build sophisticated automations in minutes.

The integration enables numerous powerful use cases: automatically analyze user feedback stored in Supabase using OpenAI's GPT models and categorize sentiment; generate AI-powered responses to customer inquiries stored in your database; create image variations with DALL-E based on product data in Supabase; transcribe audio files with Whisper and store transcriptions in your database; or build intelligent chatbots that query your Supabase database for context before generating responses. Make allows you to chain these operations together, creating sophisticated workflows that combine real-time data storage, authentication, and AI processing capabilities without managing complex API integrations.

No coding experience is required. Make provides a visual, drag-and-drop interface that makes it easier to connect Supabase and OpenAI. You simply select the triggers (like new database entries in Supabase) and actions (like generating text with ChatGPT or images with DALL-E) you want to use, then configure them through intuitive forms. Make handles all the API authentication, data formatting, and error handling behind the scenes. While some familiarity with the concepts of databases and APIs is helpful, you can start building functional integrations immediately and learn as you go. Make also provides templates and documentation to help you get started quickly.

Make provides several features that help you control and optimize costs when integrating OpenAI with Supabase. You can set up conditional logic to only trigger OpenAI API calls when specific criteria are met in your Supabase database, avoiding unnecessary processing. Make allows you to implement rate limiting, batching multiple requests together, and adding error handling to prevent failed requests from consuming your API quota. You can also use Make's built-in filters and routers to preprocess data from Supabase before sending it to OpenAI, ensuring you only send relevant information and minimize token usage. Additionally, Make's execution history lets you monitor and analyze your automation runs, helping you identify optimization opportunities and track your actual usage patterns.