Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Explanation of Benefits extraction
Extract Benefit and claim lines from Explanation of Benefits
Pull every benefit and claim lines value out of any explanation of benefits — including scans and multi-page variants — into clean structured JSON. Each value carries a confidence score and a citation back to its source pixel.
Pulling benefit and claim lines out of an explanation of benefits by hand is slow, and it is exactly where a mistake slips through. An explanation of benefits lines up billed charges, allowed amounts, plan payments, adjustments, and patient responsibility per service, in a payer-specific layout that has to reconcile against the provider bill — and matching them by hand is the slowest step in revenue-cycle work.
Docusift extracts the payer, member, claim number, and every service line with its billed, allowed, paid, and patient-responsibility amounts, so an EOB reconciles against the bill automatically — for administrative and revenue-cycle finance, not clinical use.
Each extracted value ships with a per-field confidence score and a citation back to the exact spot on the page it was read from, so low-confidence benefit and claim lines route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Service | Billed | Allowed | Patient resp. |
|---|---|---|---|
| Office visit, established | 186.00 | 112.00 | 25.00 |
| Complete blood count | 48.00 | 19.00 | 0.00 |
| Metabolic panel | 62.00 | 24.00 | 0.00 |
Example structured output
{
"document_type": "explanation_of_benefits",
"payer": "Blue Shield",
"member_id_masked": "****1180",
"claim_number": "EOB-4471902",
"service_lines": [
{ "description": "Office visit, established", "billed": 186.00, "allowed": 112.00, "plan_paid": 87.00, "patient_responsibility": 25.00 }
],
"patient_responsibility_total": 25.00,
"confidence": 0.96
}Why teams choose Docusift
A confidence score on every field
Every value ships with a confidence score and a citation back to the source pixel in the original document, so low-confidence fields route to review instead of landing unchecked.
Fast turnaround
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Privacy first
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Frequently asked questions
How do I extract benefit and claim lines from explanation of benefits?
Upload the explanation of benefits to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every benefit and claim lines value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
What is the best way to pull benefit and claim lines from explanation of benefits automatically?
The best way is a tool that reads layouts visually rather than matching templates. Template tools break when a vendor changes their format; Docusift parses each explanation of benefit from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned explanation of benefits?
Yes. OCR, layout analysis, and field extraction run in a single pass, so scans, mobile photos, and native PDFs use the same endpoint and reach the same accuracy bar.
Can I push the extracted benefit and claim lines into my own system?
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
How accurate is Docusift at extracting benefit and claim lines?
Docusift reads each explanation of benefit visually rather than matching a template, and every extracted value ships with a per-field confidence score and a citation back to the source pixel — so low-confidence benefit and claim lines route to human review automatically instead of landing unchecked.
Do I need to train a model first?
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
How is pricing calculated?
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Can Docusift handle scanned or photographed documents?
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
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