Get Property Name, Rent, Bedrooms, and Square Footage from Rental Property App Screenshots
Manually copying property details from rental app screenshots — opening each image, typing the address, rent, bedroom count, and area — takes about 4 minutes per listing. This pulls all four fields in under 15 seconds per screenshot.
10-15s per screenshot · Up to 98% accuracy on native app text
Four Fields You Can Extract from Any Rental Property App Screenshot
Rental property screenshots look nothing like product marketplace screenshots — there is no "Price" field, no "Item Name", and no "Location" badge. Instead, the card shows a property address, a monthly rent figure, a bedroom count, and a floor area. With Custom Column Extraction, the AI identifies each field by its role in the property listing card, not its screen position.
The street address or property title — typically the boldest text at the top of the card, e.g. "123 Main St Apt 4B" or "Brighton House, Marine Parade".
The monthly rental amount with currency symbol — $1,850/mo on Zillow, £1,200 pcm on Rightmove, ¥75,000 on SUUMO. Prominent and usually accompanied by a "per month" label.
The number of bedrooms shown as "2 beds", "3 Bed", or in Japan as "2LDK", "1K", "3LDK" — the layout code is preserved alongside the numeric count.
The floor area — "850 sq ft", "75 m²", or "50 ㎡" depending on the market. SUUMO listings may also show room sizes in 帖 (tatami mats). The AI preserves the unit as displayed.
Type these as column names. The AI reads each field by card structure across markets, currencies, and unit conventions.
Product Marketplace Screenshots vs Rental Property Screenshots — Completely Different Fields
A product listing has an Item Name, Price, Condition, Seller. A rental listing has a Property Address, Rent, Bedrooms, Sq Ft. They share zero columns. The challenge is that rental screenshots use different unit systems (sq ft vs m² vs tsubo), different bedroom notations (2 bed vs 2LDK), and different currency symbols ($ vs £ vs ¥) — all in the same screenshot batch alongside product cards. Here is why that is hard and how semantic extraction solves it.
Why Rental Property Screenshots Break Traditional OCR
Rent is not "Price" — it is a monthly amount with a period label. Traditional OCR trained on e-commerce "Price" fields looks for a plain numeric value with a currency symbol. Rental apps display "£1,200 pcm" or "$1,850/mo" or "¥75,000" — the value is always tied to a rental period, not a one-time purchase price. A tool looking for "Price" will miss or misinterpret the monthly context.
Bedrooms have no equivalent in product listings — and the notation varies wildly. Zillow shows "2 beds", Rightmove shows "2 bedroom", and SUUMO shows "2LDK" (a Japanese layout code meaning 2 bedrooms + living/dining/kitchen). Traditional field extractors trained only on product data have no concept of a bedroom field at all. They cannot distinguish "2 bed" from "2" in a product quantity field.
Area units vary across three different measurement systems in one batch. A US Zillow listing shows "850 sq ft", a UK Rightmove listing shows "75 m²", and a Japanese SUUMO listing shows "50 ㎡" with room sizes in 帖 (tatami mats) in the description. Template-based extraction expects a single unit format and fails when the unit symbol changes position or type between screenshots.
How Semantic Extraction Handles Hybrid Batches
Name your fields — the AI reads "Rent" as a different field than "Price". Type Property Name, Rent, Bedrooms, Sq Ft for your rental screenshots and Item Name, Price, Location for your product screenshots in the same batch. The AI identifies which field definition applies to which screenshot based on the card structure it detects — a rental card triggers Rent extraction, a product card triggers Price extraction.
Rent is read as a monthly value with its currency and period preserved. The AI recognises "$1,850/mo" as Rent (not Price), distinguishing it from a one-time purchase amount. When a Zillow card shows "$1,850/mo" and a Facebook Marketplace card next to it shows "$65.00", the AI routes each value to the correct column — Rent for the property, Price for the product.
One column definition works across sq ft, m², ㎡, and 帖. Upload a mix of Zillow, Rightmove, and SUUMO screenshots into the same batch. The AI reads each area independently — recognising "sq ft" as imperial, "m²" as metric, and "㎡" or "帖" as Japanese conventions — and preserves the unit symbol in the Sq Ft column alongside the numeric value.
From Rental App Screenshots to a Consolidated Property Spreadsheet
Whether you are comparing rental prices across Zillow and Rightmove, archiving SUUMO listings for a Japan apartment search, or tracking listings alongside product purchases in one spreadsheet, here is how the extraction workflow turns your screenshot collection into structured data.
Upload Zillow, Rightmove, and SUUMO Screenshots — Mixed Together
Drop in native screenshots from your phone or computer — single property listing cards from Zillow (US), Rightmove (UK), and SUUMO (Japan), all in one batch. PNG, JPG, or WebP from any device. No need to sort by platform or market beforehand. You can also include product marketplace screenshots (Facebook Marketplace, Gumtree, Vinted) in the same upload — the AI detects each card type and applies the correct field mappings automatically.
Define the Fields — Rental Columns Coexist with Product Columns
Type the columns for your property tracking spreadsheet: Property Name, Rent, Bedrooms, Sq Ft. For product screenshots in the same batch, define separate columns like Item Name, Price, Location. The AI reads each screenshot independently — a Zillow card yields "$1,850/mo" in the Rent column, a Rightmove card yields "£1,200 pcm" in the same Rent column, and a SUUMO card yields "¥75,000". Fields that do not apply to a given screenshot (e.g. Bedrooms on a product listing) remain blank.
Export a Consolidated Spreadsheet with Rental and Product Data Side by Side
Processing takes 10-15 seconds per screenshot — roughly 16x faster than opening each image and typing the fields manually. The output is one XLSX or CSV file with the columns you defined. Filter by platform to compare Zillow rents against Rightmove rents. Sort by Bedrooms to find properties with the right layout. Export directly to Excel or push to Google Sheets via the add-on. Rental fields sit in the same spreadsheet rows as product fields, giving you a single source of truth for all your screenshot data.
When Rental Property Screenshot Extraction Works Best — and When to Be Cautious
When It Works Best
Full-resolution native screenshots of single property listing cards. Machine-rendered text from the Zillow, Rightmove, or SUUMO app reaches up to 98% accuracy for fields like Property Name and Rent.
Consistent, well-lit screenshots with the property card in sharp focus. The AI reads clearer text more reliably — standard app screenshots taken on a phone or desktop produce the best results.
Mixed batches of rental and product screenshots. The AI detects each card type independently and applies the correct field mappings, so you can process everything in one upload without sorting beforehand.
When to Be Cautious
Screenshots forwarded through messaging apps. WhatsApp, LINE, and Messenger compress images, reducing clarity for smaller text like bedroom counts and sq ft figures. Use native screenshots for best accuracy.
Search result views showing multiple property listings. The AI reads the most visually prominent listing card in the frame. For clean per-property extraction, capture each listing card individually — a full-screen single property detail page yields the best results.
Map views with price pin overlays. Zillow's map search and Rightmove's map view display rent as pin labels, not card text. The AI works best with standard listing cards or detail pages rather than map-based interfaces.
Frequently Asked Questions
Can I mix rental property screenshots with product marketplace screenshots in the same batch?
Yes. Each screenshot is processed independently against its own set of column definitions. A Zillow rental listing with Rent, Bedrooms, and Sq Ft can sit in the same batch as a Facebook Marketplace product listing with Item Name, Price, and Location. The output spreadsheet contains one row per screenshot — rental fields appear for rental screenshots and product fields appear for product screenshots. Rows for screenshots where a field does not apply remain blank. This lets you maintain a single spreadsheet that tracks both property listings and product purchases from your screenshot gallery.
How does the tool handle Japanese SUUMO format — 2LDK, 帖 (tatami mats), and ㎡ (square meters)?
The AI recognises Japanese real estate conventions natively. Bedroom counts like 2LDK, 1K, 1DK, and 3LDK are read into the Bedrooms column — it extracts the number before the layout code (2 in 2LDK) as the numeric count and preserves the full layout label alongside it, so you know whether the property is a 2LDK or a 1K. Area in square meters (㎡ or 平米) is read into the Sq Ft column with the unit preserved. Room sizes expressed in 帖 (tatami mats, approximately 1.62 m² each) that appear in the listing description are also captured when visible on the screenshot, giving you the raw Japanese format alongside the numeric value.
Can the tool handle different currencies — US dollars on Zillow, UK pounds on Rightmove, and Japanese yen on SUUMO — in the same batch?
Yes. The AI reads the currency symbol or code alongside the numeric value and preserves it in the Rent column. A Zillow screenshot returns $1,850/mo, a Rightmove screenshot returns £1,200 pcm, and a SUUMO screenshot returns ¥75,000. The column contains the raw display text as shown on the screenshot, including the currency symbol and the rental period label ("/mo", "pcm", "per month", or "月額"). This means you can filter by currency, convert amounts across markets, or standardise to a single currency in your spreadsheet using the preserved symbols as a reference.
What about square footage vs square meters — can the tool extract both in the same column?
Yes. The Sq Ft column accepts any area unit and preserves the unit alongside the numeric value. A Zillow screenshot showing "850 sq ft" returns 850 sq ft, a Rightmove screenshot showing "75 m²" returns 75 m², and a SUUMO screenshot showing "50 ㎡" returns 50 ㎡. The column name is a convention — you can rename it to "Area" or "Floor Area" if you prefer. Each screenshot's value retains its original unit, so you can distinguish between imperial and metric entries at a glance in your spreadsheet and apply conversion formulas where needed.
Can I extract data from gallery screenshots of rental properties that are no longer listed on Zillow or Rightmove?
Yes — this is one of the strongest use cases for screenshot extraction. If you saved a screenshot of a rental listing that has since been removed from Zillow, Rightmove, or SUUMO, the data is still visible in the image file. The AI reads the visual output of the screenshot — it does not need a live URL or an active web scraper. A screenshot captured three months ago of a property that is now off-market still returns the Property Name, Rent, Bedrooms, and Sq Ft shown in the original capture. This makes the tool useful for retrospective archiving, rent comparison research, and tracking historical listing data that would otherwise be lost when the listing expires.
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Deep dives: Batch processing marketplace screenshots into a single spreadsheet · General guide to extracting data from screenshots