Description
Streamline property surveys by turning item images into structured data using AI image recognition and reverse search.
Perfect for property managers, surveyors, and real estate professionals who need fast, accurate, and automated inventory logs.
🔹 How It Works:
✅ 📷 Image Upload – Photos of household items are uploaded into an Airtable Base
✅ 🧠 AI Recognition – OpenAI Vision interprets and describes the item
✅ 🔍 Reverse Image Search – Google image search via SerpAPI locates the closest product match
✅ 🕸️ Smart Scraping – Firecrawl.dev extracts item specifications (brand, dimensions, color, material)
✅ 📝 Auto Fill – Final data is inserted back into Airtable, ready for reports or inspection docs
💼 Use Cases:
🏘️ Rental Property Surveys – Speed up check-in/out reports
🏢 Real Estate Listings – Auto-document furnishings and appliances
📦 Insurance Claims – Capture item condition and details with minimal effort
🏷️ Asset Inventory – Maintain detailed records of in-house or client assets
🧠 Why It’s Smart:
📸 No Manual Tagging Needed – AI describes what it sees
🔍 Faster Lookups – Finds exact or similar products automatically
🧾 Specification-Level Detail – Pulls key product facts from the web
📊 Clean Reporting – Airtable becomes your searchable inventory hub
⚙️ Flexible – Add internal product database to reduce cost and boost speed
🔧 Level of Effort:
🟢 Easy – Plug-and-play with minimal setup and flexible integrations
🧩 You’ll Need:
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🔗 Airtable (photo input + data storage)
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🧠 OpenAI (vision model + text agent)
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🔍 SerpAPI (Google reverse image search)
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🕸️ Firecrawl.dev (for scraping product specs)
💡 Customization Tip:
Integrate your own inventory database to avoid unnecessary lookups for recurring items—this can significantly cut API costs and increase response speed.
🚀 Let AI Handle the Tedious Work!
Free up your team, reduce survey times, and generate accurate inventory reports with just a photo.
