DocuOCR reads the documents your closing team handles on every file, classifies each one, and pulls the vesting, legal description, exceptions, and settlement figures you need, straight from title commitments, deeds, ALTA settlement statements, closing disclosures, and payoff letters. No template per underwriter or county, no keying the same file twice.
Built for US title companies, escrow and settlement agents, and the closing teams that key commitment, deed, and settlement data into SoftPro, Qualia, RamQuest, and ResWare on every transaction.
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Drop in a title commitment, a deed, or a settlement statement to watch DocuOCR read it and pull out the data, free, no signup required.
A closing runs on documents that never stop arriving. The title search comes back as a stack of recorded instruments. The underwriter issues a commitment with two schedules of exceptions and requirements. Payoff letters land from lenders, the purchase agreement sets the terms, and at the table the settlement statement has to account for every dollar on both sides. A processor reads all of it and keys the vesting, the legal description, the parties, and the figures into SoftPro, Qualia, RamQuest, or ResWare, file after file. When a busy week stacks dozens of files on the same desk, that keying becomes the bottleneck that holds up the closing.
Real estate document processing software takes the keying off your team. It reads each document, identifies what it is, and extracts the fields your title plant and closing records depend on: the proposed insured, policy amount, vesting, and exceptions from a commitment, the grantor, grantee, and legal description from a deed, the parties, charges, and cash to close from a settlement statement. Instead of retyping a file into the system of record, your closers and examiners review what the software already pulled and spend their time clearing exceptions, not entering data.
The change that makes this practical is AI. Older tools needed a separate template for every underwriter\'s commitment and every county\'s recording format, and broke the moment a deed came in as a faxed scan or a commitment arrived in an unfamiliar layout. Modern extraction reads a document by understanding its structure, so it knows which block is the legal description and which figure is the payoff no matter where they sit on the page, and it reads the stamps and handwriting on a recorded instrument. That is the difference between software that adds review work and software that clears the file before it holds up the closing.
DocuOCR classifies and extracts the documents that fill a closing file, however they arrive: native PDFs from your title software, county recordings, emailed lender packets, faxes, or scans of a signed instrument.
Reads the proposed insured, policy amount, vesting, and legal description off Schedule A, and the exceptions and requirements off Schedule B, so the commitment becomes structured data your examiners can clear.
Captures the grantor, grantee, legal description, consideration, and recording data from warranty, quitclaim, and grant deeds, plus mortgages, liens, easements, and UCC filings of record.
Pulls the parties, sales price, loan amounts, prorations, title and escrow charges, and cash to and from each side, and matches the figures across the closing disclosure and the ALTA statement.
Extracts the buyer, seller, property, price, earnest money, contingencies, and dates from the sales contract and its amendments, so the terms that drive the file are captured up front.
Reads the lender, loan number, payoff amount, good-through date, and per-diem from payoff statements, and the released instrument data from lien releases and satisfactions.
Captures the legal description and parcel data from surveys and plats, and the assessed value, parcel number, and amounts due from property tax and assessor records.
Estoppel letters, HOA documents, and lender instructions move through the same pipeline. DocuOCR classifies a mixed closing file so each document gets the right extraction, with the data already pulled. To see how the engine sorts a mixed file first, read about document classification software, and you can go straight to our per-document pages for the closing disclosure OCR and property deed OCR. If you only need vendor and service invoices pulled into a spreadsheet, our real estate invoice to Excel converter handles that specific task.
Classify, read, extract, validate. Drop a closing file in and the whole sequence runs on its own.
The engine reads a mixed closing file and sorts it by type, commitment, deed, settlement statement, payoff letter, so the right extraction runs on each document.
OCR and ICR convert title-software PDFs, county recordings, faxes, and scans into machine-readable text, including the stamps and hand-completed fields on a recorded instrument.
DocuOCR pulls the values tied to their labels, so you get named fields, vesting, legal description, payoff amount, cash to close, instead of a wall of text.
Values run through your rules and totals checks, low-confidence reads route to review, and clean data exports to your title production software or by API with an audit trail.
# title_commitment.pdf -> extracted data { "doc_type": "title_commitment", "proposed_insured": "Jordan A. Reyes", "policy_amount": "$465,000.00", "vesting": "fee simple", "b1_requirements": 6, "b2_exceptions": 9, "confidence": 0.98 } # classified, read, validated, audit-trailed for closing
Reading a clean PDF is the easy part. These are the capabilities that decide whether the software actually clears the file and keeps closings moving.
Sorts a closing package by document type automatically, so no one separates commitments, deeds, payoffs, and settlement statements by hand before processing starts.
Reads commitments, deeds, and settlement statements from any underwriter or county recording office without a per-form template, so an unfamiliar layout does not break the flow.
Captures the full legal description and the Schedule B exceptions and requirements as structured fields, so examiners clear data instead of retyping it off the commitment.
Reads recorded instruments with stamps, hand-completed fields, and uneven scan quality using intelligent character recognition, routing low-confidence reads to a reviewer.
Flags low-confidence fields and exceptions for the closer, so a payoff figure or a legal description is never trusted on an unverified read before it hits a recorded instrument or a wire.
Pushes the extracted fields into the title production or closing system your team already runs on, with a confidence score and audit trail on every value.
On the sensitive data in a closing file: settlement statements and lender packets carry Social Security numbers, bank and wire details, and other nonpublic personal information, so DocuOCR supports your ALTA Best Practices and GLBA recordkeeping with encryption in transit and at rest, role-based access, a full audit trail of every extraction and review, configurable retention, and US data handling. How records satisfy an examiner or an audit depends on how a system is configured and operated, so we work with title and escrow firms on deployment, ask us about your specific requirements.
The cost of manual keying is not just hours. It is the wrong payoff figure, the missed exception, and the closing that waited while a file sat in a queue.
| Factor | Automated (DocuOCR) | Manual data entry |
|---|---|---|
| Time per document | Seconds to read and extract | Minutes of reading and keying each line |
| Sorting the closing file | Classified automatically | Documents separated by hand |
| Wrong payoff or legal description | Flagged at capture | Caught after recording or a wire |
| Unfamiliar underwriter or county | Read on the first pass | Re-learned by each processor |
| Keying the file into title software | Extracted once, exported | Retyped line by line into the system |
| Closing-file backlog | Cleared in a queue | Stacks up and delays the closing |
DocuOCR is built on intelligent document processing: it classifies the file, reads any underwriter or county format, extracts the data, and validates it, so your closing team reviews data instead of retyping it.
Any team that keys data off closing documents to clear title, fund a deal, or pass an audit gets time back.
Read every commitment, deed, and recorded instrument that comes off a title search, extract the vesting, legal description, and exceptions, and route clean data into your title plant without keying each file by hand.
Pull the parties, charges, payoffs, and prorations off purchase agreements, payoff letters, and settlement statements, so the closing file reconciles without a processor retyping every figure.
Capture data off deeds, commitments, and closing documents for the files your firm closes, with an audit trail on every extracted value.
Read commitments, policies, and supporting documents at volume, so underwriting decisions and policy production run on structured data instead of manual review.
Read title commitments, deeds, and leases across a portfolio or an acquisition, pulling the encumbrances and terms that drive the deal.
Call the API to add document classification and data extraction to your own title, closing, or proptech product.
Run documents by hand in the dashboard, or call the same engine from your title, closing, or proptech platform with one REST request. Post a title commitment, deed, or settlement statement and get back the classified type, the recognized text, and the extracted fields, with a confidence score on every value.
# classify + extract a real estate document curl https://api.docuocr.com/v1/extract \ -H "Authorization: Bearer $KEY" \ -F "file=@title_commitment.pdf" \ -F "classify=true" # -> doc type + fields + confidence
No seat licenses and no setup fees. Start free to check accuracy on your own commitments and settlement statements, then pay per page as your volume grows. High-volume title operations and proptech platforms move to committed plans with lower per-page rates and priority throughput.
The questions closers, examiners, and escrow officers ask most before they automate document processing.
Real estate document processing software reads the documents a title or escrow team handles on every closing, identifies what each one is, and extracts the data into structured fields. It handles title commitments and preliminary title reports, deeds, ALTA settlement statements and closing disclosures, purchase agreements, payoff letters, and recorded documents, then validates the values before they reach your title production or closing software. Instead of a processor keying the legal description, vesting, exceptions, and settlement figures by hand off every file, the software pulls the data once and routes anything uncertain to review.
OCR converts a scanned, recorded, or emailed real estate document into machine-readable text, and intelligent document processing then pulls the fields that matter into named values. On a title commitment it captures the proposed insured, the policy amount, the vesting, the legal description, and Schedule B exceptions and requirements; on a settlement statement it reads the parties, the sales price, the loan amounts, the title and escrow charges, and the cash to and from each side. Because title work arrives as recorded PDFs, county scans, faxes, and emailed packets in dozens of layouts, OCR turns that pile into clean data your closing system can ingest without a processor retyping every line.
A title commitment is the title insurer's binding promise to issue a policy once its conditions are met, while a title report is an informational summary of the title search with no obligation to insure. The commitment carries Schedule A (the proposed insured, policy amount, vesting, and legal description) and Schedule B (the exceptions and the requirements that must be cleared before closing). A title report shows the current status of the title, the liens, easements, and encumbrances of record, but does not commit anyone to insure it. Document processing software reads both, capturing the schedules, exceptions, and requirements as structured fields.
An ALTA settlement statement is the standardized, itemized accounting of every dollar that changes hands at a real estate closing, created by the American Land Title Association. The title company or settlement agent prepares it to show the sales price, loan amounts, prorations, title and escrow charges, recording fees, commissions, and the net due to or from the buyer and seller. It comes in buyer, seller, and combined versions. Document processing software reads the line items off any ALTA layout and exports them as named figures, so the settlement numbers land in your accounting and closing system without a rekey.
The closing disclosure is the lender's five-page federal form that discloses the borrower's loan terms and closing costs, while the ALTA settlement statement is the title company's itemized accounting of all funds for both sides of the deal. The closing disclosure is required on most consumer mortgages and is delivered to the borrower at least three business days before closing; the ALTA statement is prepared by the settlement agent and often shows detail the closing disclosure does not. Many closings produce both, and document processing software reads each, matching the figures so the parties, costs, and cash to close reconcile.
Yes. OCR and intelligent document processing read deeds and title commitments regardless of the county recording format or the insurer's layout. On a deed it captures the grantor, the grantee, the legal description, the consideration, and the recording data; on a title commitment it reads the proposed insured, the policy amount, the vesting, and the Schedule B exceptions and requirements. Because every county and underwriter formats these differently, the engine reads them without a template per source and flags low-confidence fields for review, turning a stack of recorded documents into data your title plant and closing software can use.
Modern AI OCR commonly starts around 95% field-level accuracy on clean documents and climbs toward 99% with validation. Accuracy matters in title and escrow because a misread legal description, a wrong payoff figure, or a transposed loan amount flows straight into a recorded instrument or a wire. The dependable pattern is straight-through processing for high-confidence values and a short review queue for anything the engine flags, so a closer or examiner checks the few uncertain fields rather than rekeying every commitment, deed, and settlement statement by hand.
Yes. Real estate document processing software is built to feed the systems you already run rather than replace them. After it reads a title commitment, deed, payoff letter, or settlement statement, it exports the extracted fields as a file or pushes them through an API into title production and closing platforms such as SoftPro, Qualia, RamQuest, and ResWare, plus your escrow accounting. That means the legal description, vesting, exceptions, and settlement figures land where your closing team already works, without a processor rekeying a file at each handoff between search, examination, and closing.
Yes. Recorded deeds, county documents, and signed closing packages are full of stamps, handwriting, and uneven scan quality, and the software reads them without a separate template for each source. Intelligent character recognition captures hand-completed fields and signatures, while layout-aware extraction finds the legal description, the parties, and the figures no matter where they sit on a scanned or faxed page. Low-confidence reads route to a reviewer, so a processor verifies the few uncertain fields instead of retyping an entire recorded instrument.
The best document processing software for title companies reads a title commitment, deed, settlement statement, or payoff letter from any underwriter or county without a per-form template, captures the vesting, legal description, exceptions, and settlement figures accurately, classifies a mixed closing file automatically, validates the values, and exports through an API into your title production or closing software with an audit trail. DocuOCR does this across title commitments, deeds, ALTA settlement statements, and closing disclosures, and lets you test it on your own documents first before you commit to a plan.
Abstract parties, term dates, rent, and escalations off a commercial lease with AI.
Pull the commitment's schedules, exceptions, and requirements into a clean, searchable record.
The end-to-end IDP workflow that classifies, reads, extracts, and validates documents in one pipeline.
The full platform behind the title workflow, with a dashboard for teams who want document data without code.
How the engine sorts a mixed closing file by document type before extraction runs.
How DocuOCR reads structured settlement statements and closing forms field by field.
Replace the keying of commitment, deed, and settlement data into your title software with automated extraction.
Add title-commitment, deed, and settlement-statement extraction to your own title or proptech product with one REST call.
Upload a title commitment, a deed, or a settlement statement, watch DocuOCR read it and pull out the data, then connect the API to process every file that follows on its own.
