Connect ElevenLabs and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations
Transform audio into actionable AI content by connecting ElevenLabs with OpenAI (ChatGPT, Sora, DALL-E, Whisper) through Make. Automatically trigger transcriptions, generate follow-up content, and create visual assets the moment your text-to-speech audio completes—eliminating manual handoffs and improving your entire AI workflow.
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Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
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.
Deletes an existing conversation.
Deletes an existing model response.
Deletes an existing video.
Downloads a file from a container.
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.
Generates a video using Sora models with a text prompt and optional image or video references.
Generates images using GPT Image or DALL-E.
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 video by its ID.
Performs an arbitrary authorized API call.
Send messages to a specified or newly created thread and execute it seamlessly. This action can send the arguments for your function calls to the specified URLs (POST HTTP method only). Works with Assistants v2.
Generates a video remix using an existing video and text prompt.
Generates a response based on a simple text prompt.
Identifies information in a prompt's text and returns it as structured data.
Uploads a file to be used across the OpenAI platform.
Retrieves a list of batches.
Lists input items.
Returns a list of video jobs.
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Build your ElevenLabs and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations.
Automate your AI workflow by connecting OpenAI (ChatGPT, Sora, DALL-E, Whisper) as a trigger with ElevenLabs as an action through Make's automation platform. When OpenAI (ChatGPT, Sora, DALL-E, Whisper) generates or completes text-to-speech audio, it triggers automated actions in ElevenLabs such as processing transcriptions with Whisper, generating follow-up content with ChatGPT, or creating visual assets with DALL-E. Make's interface enables you to design custom integrations where OpenAI (ChatGPT, Sora, DALL-E, Whisper) events automatically initiate ElevenLabs actions, eliminating manual steps between audio generation and subsequent AI processing tasks.
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
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.
Create a new agent by duplicating an existing one.
Synthesizes a text into speech.
Create an agent from a config object.
Deletes an existing conversation.
Deletes an existing model response.
Popular ElevenLabs and OpenAI (ChatGPT, Sora, DALL-E, Whisper) workflows.
Combine OpenAI's powerful language models with ElevenLabs' advanced text-to-speech technology to automate content creation workflows. Transform text into natural-sounding multilingual audio, transcribe meetings, and repurpose written content at scale—all without manual intervention.
Improve your team's productivity by automatically converting ChatGPT-generated summaries, transcripts, and documents into professional-grade voice content accessible across multiple channels and languages.
How to setup ElevenLabs and OpenAI (ChatGPT, Sora, DALL-E, Whisper) in 5 easy steps
Find your ElevenLabs API key
Log into your ElevenLabs account and click on your profile icon in the top-right corner. Navigate to your profile settings and locate the API Key section. Click the eye icon to reveal your unique key, then copy it and save it securely as you'll need it to connect with Make.
Open your Make scenario
Sign into your Make account and go to the automation scenario where you want to use ElevenLabs. This is the workspace where you'll build your automated workflow by connecting different applications together.
Add the ElevenLabs module to your workflow
Search for and select ElevenLabs from the list of available applications in Make. Click to add an ElevenLabs module to your scenario, which will allow you to use ElevenLabs features in your automation.
Create a new connection
When you add the ElevenLabs module, click the 'Create a connection' button. Give your connection a memorable name to help identify it later, then paste the API key you copied from ElevenLabs into the API Key field in Make.
Save and verify the connection
Click the 'Save' button to store your connection settings. Make will automatically test the connection to ensure ElevenLabs and Make can communicate properly. Once confirmed, your connection is ready to use in your automation scenarios.
Transform your workflow with ElevenLabs and OpenAI integration
Create powerful automations by connecting ElevenLabs and OpenAI to improve content creation, from multilingual audio production to automated meeting documentation and scalable voice synthesis.
Transform text into natural-sounding speech across multiple languages by combining OpenAI's language processing with ElevenLabs' voice synthesis capabilities.
Automatically transcribe, summarize, and convert meeting recordings into shareable audio formats without manual intervention.
Make content accessible to diverse audiences by converting written summaries into high-quality audio files for team members who prefer listening.
Generate professional-grade voice content at scale by processing data from spreadsheets and databases through AI-powered text-to-speech pipelines.
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