DocuOCR reads every document across underwriting and claims, classifies it, and pulls the policy and claim data your underwriters and adjusters need, straight from ACORD forms, policies, declarations pages, claim forms, and loss runs. No template to build, no keying by hand.
Built for US carriers, MGAs, wholesale brokers, TPAs, and agencies that move submissions and claims at volume and need accuracy their decisions can trust.
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Drop in an ACORD form, policy, or claim document to watch DocuOCR read it and pull out the data, free, no signup required.
Insurance runs on documents, and there are a lot of them. A single submission can carry an ACORD application, supplemental questionnaires, prior loss runs, and a stack of supporting paperwork. A single claim adds the first notice of loss, the claim form, photos, repair estimates, medical bills, and a proof of loss. Someone has to read all of it, find the facts that matter, and key them into the policy or claims system. That work is slow, it repeats thousands of times a month, and it is where files stall.
Insurance document processing software takes that job off your team. It reads each document, identifies what it is, and extracts the fields underwriting and claims depend on, the insured, the carrier, coverage limits, effective dates, the loss date, and the claim amount, then checks the values before they move forward. Instead of keying data, your underwriters and adjusters review what the software already pulled.
The change that makes this practical is AI. Older tools needed a separate template for every form and broke the moment a layout changed. Modern extraction reads a document by understanding its structure, so an unfamiliar carrier's loss run or a hand-completed claim form does not stop the line. That is the difference between software that adds work and software that clears it.
DocuOCR classifies and extracts the underwriting and claims documents that fill a carrier's inbox, however they arrive.
Reads ACORD applications and certificates, including the ACORD 25 certificate of insurance and the 125 and 140 commercial applications, and pulls the named fields into structured records.
Extracts the insured, carrier, policy number, coverage limits, deductibles, and effective dates from policy contracts and dec pages across any format.
Captures claimant, loss date, cause of loss, location, and claim amount from first notice of loss and claim forms so claims route the moment they arrive.
Reads prior loss history reports from any carrier and pulls each claim, date, and paid amount, the data underwriters use to price and bind risk.
Captures provider, codes, dates of service, and charges from medical bills and reports on health and workers compensation claims.
Extracts coverage, limits, holders, and expiration dates from incoming COIs so you can track proof of coverage without reading each one by hand.
Claim files often include repair and medical invoices that need their line items pulled. If you want those invoices specifically broken out into structured line-item data outside the claims workflow, a dedicated invoice data extraction tool handles that one task, while DocuOCR processes the whole submission or claim file end to end.
Classify, read, extract, validate. Drop a submission or claim file in and the whole sequence runs on its own.
The engine reads a mixed stack of pages and sorts them by document type, ACORD form, policy, claim form, loss run, medical bill, so the right extraction runs on each.
OCR and ICR convert scans, photos, faxes, and image-only PDFs into machine-readable text, including hand-completed fields on claim forms and applications.
DocuOCR pulls the policy and claim fields tied to their labels, so you get named values and tables instead of a wall of text.
Values run through your rules and cross-document checks, low-confidence reads route to review, and clean data exports to your policy or claims system.
# fnol_claim_00482.pdf -> extracted data { "document_type": "first_notice_of_loss", "policy_number": "CPP-4471823", "insured": "Riverside Freight LLC", "loss_date": "2026-05-09", "cause_of_loss": "Collision", "claim_amount": "18,250.00", "confidence": 0.98 } # classified, read, validated, ready for claims
Reading an ACORD form is the easy part. These are the capabilities that decide whether the software actually clears your underwriting and claims queues.
Sorts a multi-document submission or claim package by type automatically, so no one separates pages by hand before processing can start.
Compares values across documents and flags mismatches, like a coverage limit on the policy that does not match the certificate of insurance.
Surfaces inconsistencies and missing documents at intake, so questionable claims route to review before payment instead of after.
Reads new carrier and broker layouts on the first pass, so an unfamiliar loss run or redesigned form does not break the line.
Exports clean data as JSON, Excel, or CSV, or pushes it straight into your policy administration or claims system through the API, no rekeying.
SOC 2, encryption in transit and at rest, US data handling, retention controls, and HIPAA support protect sensitive claim data through the pipeline.
The cost of manual processing is not just time. It is the rekeying errors, the coverage mismatches caught late, and the claims that sit waiting for an adjuster to get to them.
| Factor | Automated (DocuOCR) | Manual handling |
|---|---|---|
| Time per file | Seconds to read and extract | 20 to 40 minutes of keying |
| Sorting the file | Classified automatically | Pages separated by hand |
| Coverage mismatches | Flagged at capture | Often caught late or missed |
| New carrier layouts | Read on the first pass | Re-learned by each handler |
| Catastrophe surges | Scales without headcount | Backlogs build, claims stall |
| Data into core systems | Exported or pushed by API | Retyped at the handoff |
DocuOCR is built on intelligent document processing: it classifies the file, reads any layout, extracts the data, and validates it across documents, so underwriting and claims keep pace with your volume instead of falling behind it.
Any team that reads underwriting or claims documents to move a file forward gets time back.
Automate submission and claim intake across lines, classify mixed files, and feed clean data into policy administration and claims systems.
Stop keying values from FNOL, claim forms, and bills; review validated data and route claims faster, even during catastrophe surges.
Get clean loss-run and application data with cross-document checks already run, so risk is priced on accurate numbers, not retyped ones.
Process submissions from many retail agents and carrier formats without building a template for each one.
Read incoming ACORD forms, COIs, and policy documents and push the data into your agency management system automatically.
Call the API to add document classification and extraction to your own underwriting or claims platform.
Run documents by hand in the dashboard, or call the same engine from your underwriting or claims platform with one REST request. Post a document and get back the classified type, the recognized text, and the extracted fields, with a confidence score on every value.
# classify + extract an insurance document curl https://api.docuocr.com/v1/extract \ -H "Authorization: Bearer $KEY" \ -F "file=@acord_application.pdf" \ -F "classify=true" # -> document type + fields + confidence
No seat licenses and no setup fees. Start free to check accuracy on your own insurance documents, then pay per page as your volume grows. Higher volumes move to committed plans with lower per-page rates and priority throughput.
The questions carriers and adjusters ask most before they automate document processing.
Insurance document processing is the work of reading every document that moves through underwriting and claims, pulling the data that matters, and validating it before a decision is made. It covers ACORD forms, applications, policies, declarations pages, claim forms, loss runs, and supporting bills. Software automates the reading and keying so adjusters and underwriters review data instead of typing it.
Insurance document automation ingests a submission or claim file, classifies each document by type, runs OCR to read the text, and extracts the fields a carrier needs, such as policy number, insured name, coverage limits, loss date, and claim amount. It then validates the values against your rules and across documents before exporting clean data to your policy administration or claims system.
Insurance data extraction is the step that turns an unstructured insurance document into named, usable fields. Instead of returning a wall of text, it locates the insured, the carrier, coverage limits, effective dates, and loss details and hands them back as structured data. Paired with classification, it lets a carrier route a submission or claim straight into the right workflow without manual keying.
Insurance companies process a wide mix of documents: ACORD applications and certificates, policy contracts and declarations pages, endorsements, first notice of loss and claim forms, loss runs, police and medical reports, repair estimates, invoices, and proof-of-loss statements. They arrive as PDFs, scans, faxes, photos, and email attachments, which is why classifying them automatically is the first real hurdle.
AI processes insurance claims by reading each document in the claim file, identifying what it is, and extracting the facts an adjuster needs: the claimant, the loss date, the policy number, the amount, and the supporting detail. It validates those values, flags mismatches and possible fraud signals, and routes the claim. Carriers commonly cut document-heavy claim handling time by 70 to 80 percent.
You extract data from ACORD forms with AI that understands the standard ACORD layouts, like the ACORD 25 certificate of insurance and the 125 and 140 applications, and reads the named fields directly. Because ACORD forms follow a known structure but arrive filled in many ways, including by hand, layout-aware extraction reads them more reliably than fixed templates and returns clean, structured field data.
Modern AI insurance OCR commonly starts around 95% field-level accuracy on clean documents and climbs toward 99% with tuning and validation. Accuracy depends on scan quality and document type. The dependable approach is straight-through processing for high-confidence values and a short review queue for anything the engine flags as uncertain, so a bad read never posts silently to a policy or claim.
Adjusters who read and key claim documents by hand often spend 20 to 40 minutes per file finding and entering values. Automation handles the same documents in seconds, and carriers commonly report 40 to 60 percent reductions in per-claim processing time. The bigger gain is clearing catastrophe and peak-volume surges without adding headcount.
Reputable platforms encrypt documents in transit and at rest, run in compliant cloud environments, and let you control how long files are retained. Because insurance documents hold sensitive personal, financial, and health data, ask where data is stored, whether files train shared models, and what certifications the vendor holds. Look for SOC 2 and US data handling, and HIPAA support for medical claims.
The best insurance document processing software classifies a mixed submission or claim file, reads printed and handwritten documents accurately, extracts the policy and claim fields underwriters and adjusters rely on, validates them across documents, and exports to your policy administration or claims system through an API. DocuOCR does this and lets you test it on your own insurance documents first.
Extract ACORD 25 certificates and 125 and 126 commercial submissions into your agency management system.
Read named insured, coverages, and limits off any ACORD form into structured fields.
The document-heavy claims pipeline and where extraction removes the manual keying.
The end-to-end IDP workflow that classifies, reads, extracts, and validates documents in one pipeline.
The full platform behind the insurance workflow, with a dashboard for teams who want document data without code.
How the engine sorts a mixed submission or claim file by document type before extraction runs.
How DocuOCR reads structured forms like ACORD applications and claim forms, including hand-completed fields.
Put keying from insurance documents on autopilot so extracted data flows straight into your systems.
The developer endpoint that classifies, reads, and extracts insurance documents inside your own app.
Upload an ACORD form, policy, or claim document, watch DocuOCR read it and pull out the data, then connect the API to process every file that follows on its own.
