Medical records OCR that reads every format.
"Nothing skipped, nothing guessed."
Drop PDFs, faxes, scans, Word files, handwriting, and DICOM discs in one upload. An intelligent routing engine sends each page to the right OCR pipeline, removes duplicates, separates co-mingled claimants — and flags anything low-confidence for your review instead of silently guessing.
From drop-box to defensible pages.
PipelinePDFs, scans, photos, ZIPs, discs — or straight from iManage.
A decision engine picks the right OCR for each page’s condition.
Fast OCR, LLM OCR, a handwriting pipeline, and vision tables.
Every page read, classified, or flagged — with a coverage report.
Every page accounted for.
A decision engine routes per page: fast OCR for clean text, LLM OCR for degraded scans, a multi-model pipeline for handwriting — automatically.
Multi-hundred-page PDFs are split into individual documents with detected boundaries, dates, authors, and facilities — no manual unbundling.
Duplicate and near-duplicate pages detected with match scores — a 1,847-page file becomes 612 pages of signal. Originals preserved, nothing silently deleted.
Records from the wrong claimant are detected and separated before they contaminate the chronology or the summary.
Imaging discs and ZIPs ingest alongside the paper record — studies and series detected automatically, no separate workflow.
Per case: pages received, processed, included or excluded — with a stated reason for every exclusion.
The intake spec sheet.
Universal Intake™One drop zone for the whole production — paper and imaging together.
Fast OCR, LLM OCR for degraded scans, multi-model handwriting evaluation.
Near-duplicates detected with match scores; originals kept for the record.
Low-confidence pages route to a review queue — flagged, never guessed.
Batches of 26,400 pages observed in production. No file-size wall.
Received, processed, included, excluded — with a reason on every exclusion.
Who runs their intake through it.
The messier the production, the bigger the win. See how each team uses intake.
Records dumps arrive as one 4,000-page PDF. Intake unbundles it.
For law firmsThe sorting hours disappear; the clinical judgment hours stay billable.
For LNCsClaim files deduped and separated before review time is spent.
For carriersVolume intake with per-page accounting your clients can audit.
For TPAsMedical records OCR, answered.
PDFs (native and scanned), TIFFs, JPG/PNG images, Word documents, faxes, and native DICOM imaging — folders, discs, or ZIPs. Everything lands in one case file through one drop zone, with no pre-sorting or format conversion on your side.
Yes. Handwritten pages route to a multi-model handwriting evaluation pipeline rather than standard OCR. Every page gets an uncertainty score; anything below threshold is flagged for your review instead of being silently guessed.
Duplicate and near-duplicate pages are detected with match scores — refaxed records, re-produced exhibits, repeated cover sheets. A 1,847-page production typically reduces to ~612 pages of signal. Originals are preserved, so nothing is deleted from the record.
They’re flagged, not guessed. Uncertainty scoring runs per page, and low-confidence pages route to a review queue. The coverage report shows exactly which pages were received, processed, included, or excluded — with a reason for every exclusion.
Yes — co-mingled claimant detection catches pages belonging to the wrong patient and quarantines them before they contaminate the chronology, the summary, or anything downstream.
No practical one. The platform is built for 10,000+ page records, and single batches of 26,400 pages have been processed in production. Pagination and lazy loading keep large files responsive.
See your messiest file, organized.
Upload one real production and get back a deduplicated, indexed, page-accounted file. Handled under our BAA; never used to train a model.