Mortgage / Deed of Trust Extractor

Extract the borrower, lender, property, loan amount, interest rate, maturity date, and lien position from a mortgage or deed of trust PDF. No signup.

The full guide: Recorded mortgage or deed of trust, rate and lien

How should we start?

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Start with a document

Upload a file or pick a sample, and see the fields come back.

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Questions about Mortgage / Deed of Trust Extractor.

What does the mortgage extractor read?

The document number and date, the borrower (mortgagor) name and address, the lender (mortgagee) name and address, the trustee name on a deed of trust, and the secured property address, legal description, county, state, and property type.

Which loan terms come out as fields?

The loan amount and currency, the note interest rate and rate type (fixed, adjustable, or hybrid), the loan term in months, the maturity date, the monthly payment, the note date, the closing date, and the total amount financed.

Does it record the lien position and recording details?

Yes. It reads whether the mortgage is in first (senior) lien position, the loan identifier, the recording book and page numbers, the appraised value, the escrowed tax amount, and the prepayment-penalty and hazard-insurance-required flags.

Is the amortization schedule returned as a table?

When the instrument includes one, the amortization schedule comes back as rows: payment number, payment date, principal payment, interest payment, total payment, and remaining balance, so the payoff can be traced period by period.

Does the tool give mortgage or financial advice?

No. It only extracts the fields present on the document into structured data and offers no financial, mortgage, or legal advice. PDF only, up to 10MB and 100 pages; the document is processed for extraction only and is not retained.

Doing this to one file, or to ten thousand?

The tool reads a single document. The platform reads the whole estate once and keeps it queryable — the same engine, with a memory.

See PDF to Markdown if you run this for data and platform teams, or the extraction API if you are building it in.