Convert workout plan PDFs to Hevy App routines with Gemini AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Scan Any Workout Plan into the Hevy App with AI This workflow automates the creation of workout routines in the Hevy app by extracting exercise information from an upload...

Best for

Personal Productivity automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.stickynote, n8n-nodes-base.extractfromfile, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.aggregate

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Julian Kaiser.

Original n8n.io source

1.1 Workflow description

Title: Convert workout plan PDFs to Hevy App routines with Gemini AI
Workflow name: Convert workout plan PDFs to Hevy App routines with Gemini AI

Scan Any Workout Plan into the Hevy App with AI

This workflow automates the creation of workout routines in the Hevy app by extracting exercise information from an uploaded PDF or Image using AI.

What problem does this solve?

Tired of manually typing workout plans into the Hevy app? Whether your coach sends them as Google Docs, PDFs, or you have a screenshot of a routine, entering every single exercise, set, and rep is a tedious chore.

This workflow ends the madness. It uses AI to instantly scan your workout plan from any file, intelligently extract the exercises, and automatically create the routine in your Hevy account. What used to take 15 minutes of mind-numbing typing now happens in seconds.

How it works

Trigger: The workflow starts when a PDF file is submitted through an n8n form.
Data Extraction: The PDF is converted to a Base64 string and sent to an AI model to extract the raw text of the workout plan.
Context Gathering: The workflow fetches a complete list of available exercises directly from the Hevy API. This list is then consolidated.
AI Processing: A Google Gemini model analyzes the extracted text, compares it against the official Hevy exercise list, and transforms the raw text into a structured JSON format that matches the Hevy API requirements.
Routine Creation: The final structured data is sent to the Hevy API to create the new workout routine in your account.

Set up steps

Estimated set up time: 15 minutes.

Configure the On form submission trigger or replace it with your preferred trigger (e.g., Webhook). Ensure it's set up to receive a file upload.
Add your API credentials for the AI service (in this case, OpenRouter.ai) and the Hevy app. You will need to create 'Hevy API' and OpenRouter API credentials in your n8n instance.
In the Structured Data Extraction node, review the prompt and the json schema in the Structured Output Parser. You may need to adjust the prompt to better suit the types of files you are uploading.
Activate the workflow. Test it by uploading a sample workout plan document.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - On form submission

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 2 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 3 - google/gemini-2.5-flash

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 4 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Convert PDF to Base64

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 11 - Extract Text from PDF via AI

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Get Exercise List from Hevy

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 13 - Format Exercise Names

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 14 - Combine Exercise List

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 15 - Match Exercises & Structure Routine

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 16 - Create Hevy Routine

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

3. Summary Table

Workflow	Convert workout plan PDFs to Hevy App routines with Gemini AI
Complexity	advanced
Nodes	16
Categories	Personal Productivity, AI Summarization
Author	Julian Kaiser
Published	27 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6527/6527.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Summarization workflows

Frequently asked questions

What does Convert workout plan PDFs to Hevy App routines with Gemini AI do?

Scan Any Workout Plan into the Hevy App with AI This workflow automates the creation of workout routines in the Hevy app by extracting exercise information from an upload...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Summarization use case.

Julian Kaiser

11 workflows

Nodes

n8n-nodes-base.formtrigger @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.stickynote n8n-nodes-base.extractfromfile n8n-nodes-base.httprequest n8n-nodes-base.set n8n-nodes-base.aggregate

Complexity

advanced

Published 27 Jul 2025

Likes 0

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Install path: /data/workflows/6527/6527.json

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Convert workout plan PDFs to Hevy App routines with Gemini AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Scan Any Workout Plan into the Hevy App with AI

What problem does this solve?

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - On form submission

Block 2 - Structured Output Parser

Block 3 - google/gemini-2.5-flash

Block 4 - Sticky Note

Block 5 - Sticky Note1

Block 6 - Sticky Note2

Block 7 - Sticky Note3

Block 8 - Sticky Note4

Block 9 - Sticky Note8

Block 10 - Convert PDF to Base64

Block 11 - Extract Text from PDF via AI

Block 12 - Get Exercise List from Hevy

Block 13 - Format Exercise Names

Block 14 - Combine Exercise List

Block 15 - Match Exercises & Structure Routine

Block 16 - Create Hevy Routine

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions