Extract text from property documents, leases, and contracts. Free.
Drop your image here for OCR for Real Estate
or click to browse your files
JPG · PNG · WebP · BMP · TIFF · PDF — up to 4 MB
FAQ
Related Tools
Invoice OCR
Digitize paper invoices by extracting all text including vendor names, amounts, dates, and line items.
Business Card Reader
Photograph a business card and extract all the contact details — names, phone numbers, emails, and addresses — into text.
Table to CSV
Photograph any table — printed or handwritten — and extract the data. Copy to a spreadsheet or download.
Form Data Extractor
Upload scanned forms and extract all filled-in data. Perfect for digitizing paper applications, surveys, and registration forms.
Aadhaar OCR Online
DoctorDocs is a free Aadhaar card scanner that extracts your name, date of birth, and 12-digit Aadhaar number from a photo of your card. OCR runs entirely in your browser via WebAssembly — your ID image never leaves your device. No sign-up, no server uploads.
Signature Extractor
Scan any document or contract and instantly locate and extract the signatures.
DoctorDocs offers 244 free OCR and document tools — all running privately in your browser.
Enjoying DoctorDocs? Help others discover us.
⭐ Leave a review on G2While basic OCR converts images to raw text, structured data extraction goes further by identifying and organizing specific fields within a document. For an invoice, this means recognizing the vendor name, invoice number, date, line items, and total amount. For a business card, it means separating the person's name from their title, company, phone number, and email address. This process combines OCR with pattern recognition and natural language processing (NLP) to understand not just what the text says but what each piece of text means.
Tables in scanned documents are particularly challenging because OCR engines must understand spatial relationships — which values belong to which columns and rows. DoctorDocs uses Tesseract's page segmentation analysis to detect table boundaries and cell structures before running text recognition. The extracted text preserves spatial alignment so that 'Patient Name' in the left column stays associated with 'John Smith' in the right column. For complex tables with merged cells or nested headers, minor manual formatting may be needed after extraction.
Business professionals use data extraction to digitize stacks of paper invoices for accounting software. Researchers extract data from printed tables in academic papers for analysis in Excel or Google Sheets. Healthcare administrators digitize patient intake forms. Real estate agents scan property documents. Students extract data from textbook tables for study guides. In each case, the goal is the same — turn paper-trapped information into digital data that can be searched, sorted, calculated, and shared.
For the highest accuracy when extracting structured data: use high-resolution scans (300 DPI minimum), ensure the document is straight and not skewed, remove staples or folds that obscure text, and use our image enhancement tools to boost contrast before processing. For receipts printed on thermal paper, scan them promptly — thermal prints degrade over time and may become unreadable after several months. Color documents should be photographed in natural light to avoid glare and color casts.
Copy and paste this code into your blog or website to embed the OCR for Real Estate tool. Your visitors get a free tool; you get a link back — no sign-up needed on their end.
<iframe src="https://doctordocs.in/tools/ocr-for-real-estate" width="100%" height="700" style="border:none;border-radius:12px;" title="OCR for Real Estate — DoctorDocs" loading="lazy" allow="clipboard-write" ></iframe> <p style="font-size:12px;color:#888;margin-top:6px;"> Powered by <a href="https://doctordocs.in" target="_blank" rel="noopener">DoctorDocs</a> — Free Document Tools </p>