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OpenAI (ChatGPT, Whisper)
Supabase

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

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

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Create a custom workflow

Automatically capture every ChatGPT conversation, DALL-E image, Sora video, and Whisper transcription directly into your Supabase database—no manual work required. Transform OpenAI's powerful AI outputs into organized, instantly accessible data that flows into your Supabase storage and tables the moment it's generated.

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.

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

  • Triggers when a batch is completed.

2. Select an action

  • Creates a new storage bucket.

  • Creates a new row in an existing table.

  • Deletes a storage bucket.

  • Deletes all rows matching the filter.

  • Returns detailed information about a storage bucket.

  • Returns the number of rows in a table.

  • Performs an arbitrary authorized API call.

  • Uploads a file into a storage bucket.

  • Creates a new record or updates an existing record.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Supabase serves as a trigger that initiates automated workflows when AI operations are completed, such as when ChatGPT generates a response, DALL-E creates an image, or Whisper transcribes audio. OpenAI (ChatGPT, Sora, DALL-E, Whisper) functions as the action that receives and processes this data, automatically storing conversation histories, saving generated content to your database, syncing created images to OpenAI (ChatGPT, Sora, DALL-E, Whisper) storage, or organizing transcribed audio data. This trigger-action integration enables OpenAI's AI outputs to transfer to OpenAI (ChatGPT, Sora, DALL-E, Whisper) for data management, allowing automated workflows where AI-generated results instantly populate your database without manual intervention.

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 OpenAI (ChatGPT, Whisper) and Supabase in 5 easy steps

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Step 1

Get your Supabase project information

Log in to your Supabase account and go to the Projects section in the left sidebar. Select the project you want to connect to Make, then scroll down to find your connection details at the bottom of the page.

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Step 2

Copy your API Key and Project ID

In the Project API section, you'll find your API Key - copy and save it securely. Then, navigate to your Project Settings to locate and copy your Project ID. You'll need both of these pieces of information to complete the connection.

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Step 3

Add a Supabase module in Make

Open your Make account and go to the scenario where you want to use Supabase. Add a Supabase module to your workflow to start building the connection between the two platforms.

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Step 4

Create a new connection

In the Supabase module, click on Create a webhook and then select Create a connection. Give your connection a memorable name so you can easily identify it later if you have multiple connections in your account.

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Step 5

Enter your credentials and save

Paste the Project ID and API Key you copied from Supabase into the corresponding fields in Make. Double-check that both are entered correctly, then click Save to establish the connection and start using Supabase in your automation.

Supercharge your database with AI-powered automation

Connect OpenAI and Supabase to enable intelligent database operations, automated content generation, real-time AI assistants, and powerful semantic search with vector embeddings—all through automation.

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AI-powered database intelligence

Automatically analyze and extract insights from your Supabase database using OpenAI's advanced language models to generate reports, summaries, and data interpretations without manual queries.

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Intelligent content generation and storage

Generate AI-powered content with ChatGPT or DALL-E and automatically store it in your Supabase database with proper authentication and instant API access for efficient content management.

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Real-time AI assistant with database context

Build conversational AI applications that query and update your Supabase database in real-time, enabling intelligent chatbots that can access and modify user data dynamically.

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Automated vector embeddings workflow

Leverage OpenAI's embedding models to automatically convert text data into vector embeddings and store them in Supabase's vector database for powerful semantic search capabilities.

Support

FAQs

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

By connecting OpenAI and Supabase through Make, you can create powerful AI-driven applications without complex coding. For example, you can automatically process user inputs with ChatGPT or GPT-4, generate embeddings for semantic search, and store all results directly in your Supabase Postgres database. This integration enables you to build chatbots that remember conversation history, create AI-powered content management systems, or develop recommendation engines—all through Make's visual workflow builder that connects these services.

The integration opens up numerous possibilities: automatically generate and store AI-created content (text via ChatGPT, images via DALL-E) in Supabase Storage; create vector embeddings from your database content using OpenAI for advanced semantic search; build customer support systems where ChatGPT responses are logged in Supabase with authentication; transcribe audio files with Whisper and store transcriptions in your database; or generate personalized content based on user data from Supabase. Make's automation platform lets you orchestrate these workflows without managing API calls or server infrastructure yourself.

No, Make is designed as a no-code/low-code platform that allows you to integrate OpenAI and Supabase through an intuitive visual interface. You can drag and drop modules, configure settings through forms, and map data between applications without writing code. Make handles all the API authentication, data formatting, and connection management automatically. This means you can create sophisticated AI workflows—like storing ChatGPT conversations in Supabase or generating images based on database triggers—even if you're not a developer.

Make provides built-in controls to help you manage OpenAI usage and costs effectively when processing Supabase data. You can set up conditional logic to only trigger OpenAI operations when specific criteria are met in your database, implement rate limiting to control API calls, and use Make's error handling to prevent costly failed requests. Additionally, Make's scenario execution history lets you monitor exactly how many OpenAI operations are being performed, helping you optimize workflows and choose the most cost-effective GPT models (like GPT-3.5 vs GPT-4) based on your actual usage patterns with Supabase data.