Data Parser / Extractor

AI Agent that Extracts Product Data from Photos

Built for Teams Managing Inventory or Catalogs

Are you still spending hours tagging product photos one by one? Do you find yourself buried in image reviews just to keep your records organized and searchable?

This automation uses AI to scan each product photo, extract structured details like color and type, and log everything into your database through a streamlined workflow that saves time and ensures consistent tagging across your entire catalog.

Try this AI Agent now
Excited woman using a laptop beside visuals showing mobile order fulfillment, 5-minute runtime, and $2,000+ in monthly savings through automation

What to Expect

Fully automates product tagging from photos for teams handling surveys, inventory, or catalogs.

It reads each image, pulls out key product details, and writes them back into your spreadsheet.

n8n automation workflow triggered manually to read product data from Google Sheets, analyze an image with AI, and update the sheet with processed results

This AI automation uses n8n to scan photo links from your Google Sheet, analyze them with OpenAI Vision, and fill in six key fields: title, model, color, material, condition, and a short description. Everything updates in the same row with no manual inputs, no extra tools, and no backend setup.

It’s a simple way to turn photos into clean, structured product data without the usual tagging work.

The old way?
Done manually.

Here’s what the old process looked like:
Open each photo in a separate tab
Guess materials, colors, and model info by eye
Manually enter attributes into your spreadsheet
Fix formatting issues and clean up typos
Chase missing or incomplete data as your catalog grew
You spent more time fixing inputs than managing inventory, and even small mistakes led to bad listings and slower operations.

The new way?
Fully automated.

With this automation, the entire process gets handled for you:
Pull image links directly from Airtable or Sheets
Use OpenAI Vision to describe objects in the photo
Auto-detect material, model, color, and condition
Write clean metadata back into the same row
Scale product identification without slowing down
Your team gets accurate, consistent catalog data, without the manual overhead or bottlenecks.

Get Back Hours This Week

Let us show you how no-code automation can handle them for you, starting with a free 30-minute audit.

How the Automation Comes Together

Your AI agent quietly handles the entire enrichment process from image to structured output.

n8n manages each step in the workflow, while Google Sheets logs product details alongside their corresponding photo links.

OpenAI Vision reviews each image and extracts the key visual attributes needed for classification or analysis.
Diagram showing an n8n automation workflow connected to multiple product images for visual data processing
AI Agent toolkit

Tools used to build this AI agent

n8n logo
n8n

Runs the full automation, from reading product image links to writing enriched data back into your catalog.

openai logo
OpenAI

Analyzes each product image and extracts structured details including title, model, material, color, condition, and description.

google sheets logo
Google Sheets

Serves as both the input source and output destination, holding your product image URLs and storing the enriched results in real time.

What You'll Gain

90% less manual work

No more opening images and typing attributes by hand.

Hundreds of rows per run

The agent processes large batches smoothly with no slowdowns.

Saves $500 to $2,000 per month

Skip the VAs and data entry hires—this workflow does the job without adding to payroll.

Zero inconsistencies

Every output lands in the correct column, clean and properly formatted.

Less than 5 minutes to run

You can start it manually or set it on a schedule. Either way, it runs on its own.

What We Actually Tell the AI

This is the exact prompt we send to GPT-4o. It takes the raw form inputs and turns them into clear, natural messages your team would be comfortable sending.

Prompt design breakdown for AI image analysis, highlighting role instructioning, input reference, zero-shot prompting, and output constraints for structured product metadata extraction
Product Image Analysis Prompt

Role Instructioning → Sets the assistant’s identity as an expert image analyzer specialized in extracting structured product information.

Input Reference → Instructs the assistant to analyze an image using the input variable {{ $json.image_url }}.

Zero-Shot Prompting → Tells the assistant to extract specific product details (title, description, model, materials, colors, condition) directly from the image without examples.

Output Constraints → Requires the assistant to respond using a fixed JSON format. Any undetectable or unclear field must be returned as "N/A".

Cost Comparison with AI Agents

Here’s a quick overview to help assess monthly costs and workload volume for ongoing operations.
vs
AI Agent for Cataloging
Ranges from $60 to $120 per month, covering AI image analysis, automation infrastructure, and storage.
Can automatically catalog between 200 to 1,000+ product images per month with enriched details.
Manual Product Entry Specialist
Ranges from $500 to over $2,000 per month depending on staff rates and workload.
Typically limited to handling 30 to 200 images per month based on availability and accuracy.
We automate, you accelerate

We'll handle the tech so you don't have to.

You don’t need to set up or learn how automation works.
Our AI agents are built to run fully hands-off, like a clone that handles the repetitive tasks for you.

Need something custom? We’ll handle it all including:

What is prompt writing and optimization?

It is the process of crafting and refining instructions for AI so it understands the task, delivers accurate results, and formats the output exactly how you need it.
What we do exactly?
Understand your context and use case
Help optimize and rewrite your prompts
Test and refine outputs until it’s working perfectly

What is automation flow design and testing?

This is where we map out how your AI agent behaves: when it runs, what it checks, how it reacts, and what to do if something fails. We don’t just build it. We test it end to end.
What we do exactly?
Design the full logic and decision tree
Add fallback steps for edge cases
Run multiple rounds of testing before launch

What are tool integrations?

We connect your AI agent to the tools you already use. Email, spreadsheets, CRMs, databases, APIs, and more. Everything stays in sync without you needing to copy and paste a thing.
What we do exactly?
Identify which tools your agent needs to talk to
Set up reliable two-way connections
Ensure smooth data flow across systems

What is delivery setup?

Delivery setup means we make sure your AI’s output gets exactly where you need it. Whether that's your inbox, a Google Sheet, your Slack channel, or a CRM.
What we do exactly?
Configure where and how outputs get delivered
Format results so they’re ready to use
Schedule timing or triggers for delivery

What is ongoing maintenance and updates?

AI agents aren't set and forget. We handle updates to prompts, workflows, and integrations so your system keeps working as your needs change.
What we do exactly?
Monitor performance and catch issues early
Update logic, prompts, or tools as needed
Keep everything running behind the scenes

Let us handle it for you.

Just send us an email and tell us the task that is wasting your time and we’ll design the agent and run it in the background.

Or, enter your email and we'll send you how to get started.

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Frequently asked questions

We’ve covered the usual questions. Got a unique one? Send us an email

What if my images aren’t perfect?

No worries. The AI can handle most product photos, even if they’re not studio-quality. If it can’t identify something clearly, it just marks it as “N/A”, no false guesses, no bad data.

Can I use this for something other than eCommerce?

Absolutely. As long as you’ve got image URLs in a Google Sheet and need structured info from them like art, real estate, food, you name it, you can adapt the prompt and reuse the exact same setup.

Do I need to code to set this up?

Not really. If you’ve ever used Zapier or tweaked a Google Sheet formula, you’re fine. And if you don’t want to touch it at all, we can help you get it running.

Built to be Cloned

You can use this exact setup, connect your own Google Sheet, and have an image-to-metadata workflow running today. It works for anything with photos and missing details, electronics, clothing, furniture, secondhand goods, and more.

If you’re tired of squinting at images and typing the same fields over and over, this takes that off your plate.

The agent’s ready to go. You can copy it, adjust the prompt, and start tagging without lifting a finger.

Need help getting it live? Just ask. Fill the form or Send us an email

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{ "automation_name": "AI Agent for Product Data Extraction from Photos", "type": "AI-Powered Image Parsing and Cataloging Workflow", "tech_stack": ["n8n", "OpenAI GPT-4", "Google Drive", "Gmail", "Google Sheets"], "data_sources": ["Product photos", "Survey images", "Catalog uploads"], "output_format": ["Structured product data", "Google Sheets log", "CSV export"], "prompt_style": "Visual-to-text extraction with schema-guided labeling and field assignment", "use_cases": [ "Extract product names, SKUs, and details from images", "Automate survey or catalog data entry from phone photos", "Eliminate repetitive manual encoding for product teams", "Log extracted product data into structured formats for further use" ], "deployment": "Self-hosted in n8n with Google Drive watch triggers, image handling, and AI parsing", "tags": ["image to data", "product automation", "cataloging", "AI agent", "data extraction", "GPT-4", "n8n", "inventory automation"] }