Audit readiness
Check a record set against the fields an audit requires — signatures, dates, provider attribution, completeness — and export the gap list.
- Required-field rule sets
- Missing-signature detection
- Gap reports by facility or provider
Healthcare OCR and document data extraction. We transcribe faxed referrals, scanned charts, handwritten provider notes, and legacy EHR exports, then extract the fields your team needs as structured records.
Every extracted value carries a confidence score and links back to the line it came from. Missing signatures, dates, and required fields are flagged for review.
The system transcribes the document, extracts the configured fields, and records the location of each value. Select a field to view its source. Extractions below your confidence threshold are flagged rather than returned as final.
Check a record set against the fields an audit requires — signatures, dates, provider attribution, completeness — and export the gap list.
Verify that clinical documentation contains the evidence required for the codes being billed, before the claim is submitted.
Convert scanned charts, legacy exports, and archived records into structured data for migration, reporting, or analysis.
PDFs, images, scans, EHR exports, and mixed batches.
Document type is detected, then transcribed — including abbreviations and handwriting.
Fields are extracted, scored for confidence, and checked against your rules.
Flagged items go to a reviewer. Approved records export as CSV, JSON, or API.
Fine-tuned on healthcare documentation — clinical shorthand, form layouts, and handwriting — and run on weights we hold, on infrastructure we control. Documents are not sent to third-party AI services.
Point a camera at a document. Get the fields back. Saved only on your device.
Faxes, handwritten notes, scans, or legacy exports. We'll process them and show you the extracted output alongside the source documents.