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OpenAI (ChatGPT, Whisper)
Strava

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

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

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Create a custom workflow

Transform your fitness journey by connecting OpenAI's intelligent capabilities—ChatGPT, DALL-E, Whisper, and Sora—with Strava through automated workflows. Let AI-generated training insights, motivational content, and coaching advice instantly trigger activities and updates in your Strava account, eliminating manual work and supercharging your athletic performance with the power of artificial intelligence.

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
Strava
Action: Select an action
1. Select a trigger

  • Triggers when a batch is completed.

2. Select an action

  • Creates a new activity.

  • Retrieves your recent, year to date and all activity stats.

  • Retrieves details of an activity by its ID.

  • Performs an arbitrary authorized API call.

  • Updates an activity by its ID.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connect Strava as a trigger and OpenAI (ChatGPT, Sora, DALL-E, Whisper) as an action through Make's integration platform. When OpenAI generates content—such as AI-powered training insights, motivational messages, coaching advice through ChatGPT, or inspiring images with DALL-E—you can automatically trigger actions in OpenAI (ChatGPT, Sora, DALL-E, Whisper). Set up workflows where OpenAI's outputs initiate the creation of activities, update workout data, or post content to your OpenAI (ChatGPT, Sora, DALL-E, Whisper) account. This integration enables you to use OpenAI's artificial intelligence capabilities as the starting point that automatically performs corresponding actions in OpenAI (ChatGPT, Sora, DALL-E, Whisper), eliminating manual data transfer between the applications.

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 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
Create an Activity
Creates a new activity.
Action
Delete a conversation
Deletes an existing conversation.
Action
Delete a response
Deletes an existing model response.
Action
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How to set up OpenAI (ChatGPT, Whisper) and Strava in 5 easy steps

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Step 1

Get your connection credentials from Strava

Start by logging into your Strava account and navigating to Settings, then click on the API tab. Here you'll find two important pieces of information: your Client ID and Client Secret. You'll also need to enter a specific callback address (https://www.integromat.com/oauth/cb/strava) that allows Make to communicate with Strava. Copy both the Client ID and Client Secret carefully, as you'll need these in the next steps to establish the connection.

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Step 2

Add the Strava module to your Make scenario

Open your Make account and go to the automation workflow where you want to use Strava. Add the Strava module to your scenario by selecting it from the available options. This module is the component that will allow Make to interact with your Strava data and perform automated tasks based on your activities or other information from your Strava account.

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Step 3

Start creating the connection

Once you've added the Strava module to your workflow, look for the Create a Connection button and click it to begin linking the two services. This initiates the process that will allow Make and Strava to securely share information. The connection setup screen will appear, prompting you to enter the credentials you obtained from Strava earlier.

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Step 4

Enter your Strava credentials in Make

In the connection setup screen, paste the Client ID and Client Secret that you copied from your Strava API settings. These credentials act as a secure key that allows Make to access your Strava account safely. Make sure to paste them exactly as they appear, without any extra spaces or characters, to ensure the connection works properly.

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Step 5

Complete and name your connection

After entering your credentials, you can optionally give your connection a descriptive name to help you identify it later, especially if you plan to create multiple connections. Follow any remaining on-screen instructions to finalize the setup. Once completed, Make will establish a secure link with your Strava account, enabling your automation scenarios to access and use your Strava data as configured.

Transform your fitness data with AI-powered Strava automation

Connect OpenAI and Strava to access intelligent workout analysis, automated activity descriptions, personalized training plans, and voice-to-text notes that improve your fitness journey.

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AI-powered workout analysis and insights

Automatically analyze your Strava activities using OpenAI to generate personalized insights, training recommendations, and performance summaries based on your fitness data.

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Intelligent activity descriptions and social posts

Use ChatGPT to automatically create engaging, creative descriptions for your Strava workouts, making your fitness journey more shareable and memorable.

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Personalized training plan generation

Use OpenAI to analyze your Strava training patterns and automatically generate customized workout plans tailored to your fitness goals and performance history.

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Voice-to-activity notes with Whisper

Transform voice recordings into detailed Strava activity notes using Whisper transcription, making it easier to capture thoughts and observations during or after your workouts.

Support

FAQs

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

By integrating Strava with OpenAI through Make, you can automatically send your workout data to ChatGPT for intelligent analysis. Make can capture your completed Strava activities and feed them to GPT-4 or other OpenAI models to generate personalized insights about your training patterns, suggest improvements, identify trends in your performance, or even create weekly summaries of your fitness progress. This automation eliminates manual data entry and provides you with AI-powered coaching insights immediately after each workout.

Absolutely! Make enables you to create automated workflows where OpenAI generates custom content for your Strava posts. For example, after completing a run, Make can trigger ChatGPT to write an inspiring caption based on your workout metrics, or use DALL-E to create unique achievement badges and celebration images. You can even set up scenarios where GPT analyzes your route data and generates creative descriptions of your cycling adventures, making your Strava profile more engaging without any manual effort.

With Make connecting Strava and OpenAI, you can build sophisticated training automation systems. The integration allows you to collect your historical Strava performance data and send it to GPT-4 to generate personalized training plans based on your actual fitness level, progress rate, and goals. Make can schedule regular check-ins where ChatGPT analyzes your recent activities, adjusts your training intensity, suggests recovery periods, and even predicts optimal times for your next personal record attempt. This creates a dynamic, AI-powered coaching system that evolves with your fitness journey.

Not at all! Make is designed with a visual, no-code interface that makes connecting Strava and OpenAI straightforward, even for non-technical users. You select Strava as your trigger (like 'New Activity Created'), then choose an OpenAI action (such as 'Create a Completion' with ChatGPT). Make provides pre-built templates and modules specifically for both applications, so you can start with ready-made scenarios and customize them to your needs. Most users can create their first working automation in under 10 minutes, and Make's extensive documentation and community support are available if you need help along the way.