Split mixed FNOL and claims PDFs into reviewable children, extract policy and loss fields, and send structured rows to Sheets or your API. Split mixed FNOL and claims PDFs into reviewable children, extract policy and loss fields, and send structured rows to Sheets or your API.
Create your first parser in minutes. No code, no setup calls.
Normalize new-hire PDFs into structured fields, review before HRIS entry, and limit contractor access to the parsers you assign in Parsedit.
Claims packets are rarely one clean form. A single PDF may include FNOL pages, photos, estimates, and correspondence. Adjusters burn time hunting policy numbers and loss dates across scans while retyping into the claims system.
Extraction plus packet splitting does not replace adjusters. It removes the retype tax and gives a consistent field table for whatever you send downstream.
Claims packet quality bar.
Common header fields:
Keep medical or legal narrative fields out of v1 unless a downstream system requires them. Schema design habits.
Enable your mental model for mixed PDFs: parent Packet, children with page ranges, review per child. Choose send modes that match the claims API (often per document). Packet guide, docs Document packets.
Handwriting and fax quality raise touch rates. Keep auto-send off. Use text selection for policy numbers. Store the source file; disputes need the image. Human review.
Sheets for triage boards, webhooks for claims platforms, CSV for partner handoffs. Accounting connectors matter when the same workspace also runs AP.
Parsers, packets, review, and delivery into tools you already use. Soft CTA: pilot one carrier packet type. Related: Workflows to automate.
Resist one universal claims schema. Prefer:
When a new carrier arrives, upload five packets, note repeated misses, then edit the template. Do not invent fields from a single sample PDF.
Photo appendices inflate page counts quickly. If adjusters only need FNOL fields, ask intake to separate photos into a second file when possible, or accept higher page usage as the cost of keeping evidence together. Forecast with real averages, not hope.
Done is not “AI filled JSON.” Done is:
Write that definition into training so vendors pitching touchless FNOL do not redefine your SLA.
Credits: 22 pages. If you process 200 similar files monthly, plan ~4,400 pages before buffer.
Policy number verified against the page, loss date plausible, claimant non-empty, destination success icon present. Anything less stays in review.
Claims work punishes shallow demos. Pilot with your noisiest carrier packets, not the cleanest PDF in the sales deck.
If a carrier changes FNOL layout, do not rebuild everything. Upload five new samples, adjust the template fields that broke, and keep the core keys stable for your webhook consumer.
FNOL extraction and insurance document splitting buyers care about policy fields and page costs. Lead with those, not model brand names.
Can photos inside PDFs be separate children? Splitting follows logical documents/types; photo-only appendices may stay with a parent segment. Test with samples.
Is this a claims system of record? No. It feeds yours.
How do we handle HIPAA or sensitive data? Follow your compliance program; see Data security and restrict seats.
Run one real FNOL packet through split and review. Create a parser.
