For real estate teams

Document extraction for real estate teams

Real estate runs on paperwork: leases, purchase contracts, broker listings, inspection reports, mortgage statements. ExtractFox pulls the fields you care about — terms, dates, rent, deposit, party names, defect lists — into structured rows. Compare across deals, build investor reports, or feed your CRM. Every deal ships a slightly different PDF layout, so analysts spend hours opening files one by one to copy rent rolls, option dates, and repair estimates into a comp sheet. One missed escalation clause or wrong deposit amount in a spreadsheet can cost thousands at renewal — and there's rarely a second pass before the investor call.

Drop a PDF or image here, or browse
PDF or image · up to 20 MB
Processed in-flight — never stored on our servers.

Common workflows

Lease abstraction

Drop a lease PDF and get parties, effective date, rent, escalators, term length, renewal options, and key clauses extracted into a clean row. Build a portfolio-wide lease abstract spreadsheet without paying a paralegal.

Listing data from broker PDFs

Brokers send PDF listings with photos, descriptions, and spec sheets. Use the custom extraction mode to pull address, asking price, square footage, year built, and feature list into a comparable analysis spreadsheet.

Inspection report defect lists

Home-inspection PDFs run 30+ pages with embedded photos. Extract the defect list as rows: location, item, severity, recommendation. Hand straight to repair contractors.

Closing paperwork: deeds, mortgages, statements

Bulk-process the document stack at closing. Mortgage statements give monthly payments and balances; deeds give parties and recording details; closing statements give itemized fees.

Rent roll and operating statement review

Property managers receive monthly rent rolls and T-12 operating statements as PDF exports from legacy systems — often 40 pages with inconsistent column headers. Extract unit number, tenant, lease dates, monthly rent, vacancy status, and operating expense line items into a portfolio-wide spreadsheet for investor reporting, refinance packages, or acquisition underwriting.

Time savings

A lease abstract by hand takes 30–60 minutes per lease and is the most error-prone task in property management. ExtractFox compresses that to a single upload + 2 minutes of review per lease, with a structured output that's easier to QA than a freeform abstract.

Frequently asked questions

Can ExtractFox handle long, dense leases?+

Yes. Leases are read end-to-end by the model in one pass — no page limits short of the 20 MB file cap.

Will it pick out specific clauses I care about?+

Yes. Use the free-text 'describe yourself' mode to ask for specific provisions ('extract the rent escalation clause and the late-fee terms') instead of the default full extraction.

Can I extract data from MLS exports or Zillow listings?+

Save the listing as a PDF (or screenshot) and drop it in. The image extractor handles screenshots; the PDF extractor handles full listings.

Does it work for international real estate documents?+

Yes. Multi-language and multi-currency. Date formats are normalized to ISO YYYY-MM-DD where the source allows.

Can I build a rent-comp table from broker offering memos?+

Yes. Use custom extraction to pull address, asking rent per SF, lease type, TI allowance, and available square footage from each OM PDF. One row per property in a single download.

How do I handle HOA or condo disclosure packets?+

Upload the disclosure PDF and ask for specific fields — monthly HOA fee, special assessment history, reserve fund balance, pet restrictions, and parking allocation. Free-text mode targets the clauses investors care about without reading 80 pages per unit, and you can batch-process disclosures across an entire building.

Compare to alternatives

ExtractFox vs ABBYY FlexiCapture
ABBYY FlexiCapture is a mature enterprise IDP platform with template-based document definitions, a training pipeline, and a validation station UI. ExtractFox is the same structured output without the template library, classifier training, or on-premise deployment project.
ExtractFox vs Kofax (Tungsten Automation)
Kofax (now Tungsten Automation after rebranding) is a full RPA + IDP platform: powerful when the whole stack is deployed, but heavyweight if you only need document extraction. ExtractFox delivers the extraction piece — structured output from any document — without the platform.
ExtractFox vs Azure Document Intelligence
Azure Document Intelligence (formerly Form Recognizer) is powerful inside the Azure ecosystem and overkill outside it. ExtractFox covers the same document types — invoices, receipts, IDs, contracts, layout — without an Azure subscription, resource group, or model-deployment workflow.
ExtractFox vs Docparser
Docparser asks you to build a parsing template per supplier. ExtractFox uses a multimodal model that reads documents the way a person does — no templates, works on the first invoice from a vendor it has never seen.
ExtractFox vs Adobe Acrobat
Acrobat's 'Export to Excel' converts text positions on the page to spreadsheet cells. That's fine on perfectly-formatted tables and miserable on anything else. ExtractFox extracts the actual fields you care about into a clean structured object — works on invoices, statements, IDs, contracts, and unstructured PDFs.
ExtractFox vs Nanonets
Nanonets has moved to a self-serve, credits-based workflow builder — you chain 'blocks' (classify, extract, validate, route) and each block execution draws down credits at its own rate. ExtractFox is a single upload-and-extract step with one flat monthly quota, no workflow to assemble and no per-block pricing to track.

Other use cases

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