AI workflow analyzing an image — extracting text, descriptions, and data from visual content automatically

Product Update: Let Your Workflows Read and Understand Images with AI

September 11, 2026

Your Workflows Can Now See

Most automation only handles text and data — structured fields, form submissions, contact records. Images have always been a blind spot. If a customer uploaded a photo, sent a screenshot, or attached a document, a human had to look at it before any automated process could continue.

That's changing. Attractzen workflows now include an AI Analyze Image action that reads an image, interprets its contents, and returns the result as usable text — all inside your automation, without any manual review.

What You Can Do With It

The AI Analyze Image action accepts an image URL and a prompt. You tell the model what to look for, and it tells you what it found. That output becomes a variable you can use in any action that follows in the workflow.

Here are a few ways to put it to use:

  • Extract text from uploaded documents — read a receipt, invoice, or screenshot and pull out amounts, dates, names, or any other detail you need in your workflow
  • Describe photos automatically — generate a written description of any image a contact submits, and use that description to tag, sort, or route the contact through the right process
  • Verify submitted images — ask the AI to check whether an uploaded photo meets specific criteria before your team reviews it
  • Process scanned documents — extract content from non-native-text files like scanned forms or handwritten notes where a standard parser would fail

How It Works

Inside any Attractzen workflow, add the AI Analyze Image action under AI Actions. From there:

  1. Select the AI model — choose based on the accuracy level your use case requires
  2. Enter the image URL — use the output of a previous workflow step, a contact field, or any public image link stored in your Media Storage
  3. Write your analysis prompt — tell the model exactly what to find. The prompt field accepts custom values, so the instruction can adapt based on contact data
  4. Set the detail level — Auto handles most cases; High is better for small or dense text; Low is faster for simpler reads

The result comes back as text, and that text becomes available to every subsequent action in the workflow.

A Few Important Details

The image URL must be publicly accessible — the model needs a direct link to the image file, not a page that contains it. Images stored in your Attractzen Media Storage are already public and ready to use.

This is a premium action. Each execution carries an additional charge. Plan your workflows accordingly, and test with a small batch before rolling out to a high-volume sequence.

Why It Matters

Adding image analysis to your workflows means your automation can now handle a class of information it previously had to skip entirely. Uploaded documents, submitted photos, and visual data no longer require a manual detour — your workflow reads them, acts on them, and keeps moving.

Ready to explore what AI-powered image analysis could automate in your business? Book a free demo and let's map it out.

AIworkflowsautomationimage analysisproduct update
blog author image

Sean Goerss

Sean is most recently a Co-Founder of Attractzen - a recruiting and retention software for real estate brokers, recruiters, and attractors. Sean was co-founder in 2020 of Thrive Network, one of the top organizations at eXp Realty. Sean was formerly CEO and Founder of 14 Moves, the #13 team in the World with Keller Williams Realty, and #31 Team in the World across all brokerages as ranked by RealTrends. Sean grew up in real estate, helping to build the family real estate team to top in their market of Minneapolis / St. Paul, Minnesota, and eventually the top team in Minnesota and the Midwest.

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