Extract borrower information, loan terms, property details, and closing figures from mortgage applications, HUD-1 statements, closing disclosures, and loan packages.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“Our processors were spending 45 minutes per file extracting data from loan packages. Automated OCR reduced that to a five-minute review of flagged fields, and our pipeline throughput increased by 35 percent.”
“HUD-1 and Closing Disclosure extraction accuracy was our primary concern. The confidence scoring gives our compliance team the audit trail they need while still saving hours per file.”
“We service 40,000 loans and needed to digitize legacy files for a system migration. Mortgage OCR processed the entire archive in three weeks instead of the six months our vendor quoted.”
Mortgage origination and servicing involve some of the most document-intensive workflows in financial services. A single mortgage file can contain 200 to 500 pages spanning the application, income verification, credit reports, appraisals, title documents, closing disclosures, and regulatory compliance forms. Loan officers, processors, underwriters, and closers each need specific data from different documents in the file, and manual extraction from these large document packages creates bottlenecks at every stage.
Mortgage document OCR addresses this by automatically extracting structured data from the full range of mortgage documents. The AI reads borrower demographics, employment and income data, asset statements, property details, loan terms, interest rates, closing costs, and regulatory disclosure information. It handles the Uniform Residential Loan Application (URLA), HUD-1 Settlement Statements, Closing Disclosures, and dozens of other standard and non-standard mortgage document types.
Regulatory compliance makes accuracy in mortgage document processing non-negotiable. TILA-RESPA requirements mandate specific disclosures and calculations. Fair lending regulations require consistent documentation. Audit trails must demonstrate that data was captured correctly from source documents. Lido provides field-level confidence scores on every extracted value, creating an auditable extraction process where uncertain fields are flagged for human review rather than silently accepted.
Lenders, servicers, and title companies evaluating mortgage OCR should prioritize accuracy on their highest-volume document types, support for the complete mortgage document taxonomy, integration with their LOS or servicing platform, and compliance with financial data security standards. Lido provides SOC 2 Type 2 compliance with AES-256 encryption and automatic document deletion within 24 hours.
Mortgage OCR handles applications (URLA/1003), HUD-1 Settlement Statements, Closing Disclosures, Truth-in-Lending disclosures, income verification documents (W-2, pay stubs, tax returns), appraisals, title commitments, and insurance certificates. The AI identifies document type and extracts relevant fields automatically.
The AI extracts all key fields from Closing Disclosures including loan terms, projected payments, closing costs, cash to close, loan amount, interest rate, and itemized fees. These data points are returned as structured fields that map directly to LOS and servicing system requirements.
AI-powered mortgage OCR achieves 97 to 99 percent accuracy on standard mortgage documents. Field-level confidence scoring ensures that financial figures, dates, and regulatory data points are flagged for verification when extraction confidence is below the threshold, supporting audit and compliance requirements.
Yes. Lido accepts multi-page document uploads and processes the entire loan package, identifying individual document types within the package and extracting the appropriate fields from each. A 300-page loan file can be processed in minutes.
Extracted data can be exported to Excel, Google Sheets, CSV, or JSON. The REST API enables integration with loan origination systems like Encompass, Byte, and Calyx, as well as servicing platforms and document management systems.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
50 free pages. No credit card required.