Convert CMS-1500 to EDI 837P, automatically
Hewto.ai is CMS 1500 OCR software and a healthcare claims OCR API purpose-built for paper claim conversion — turning scanned, handwritten, and red drop-out ink HCFA / CMS-1500 forms into a validated ANSI X12 837 Professional (837P) file. End-to-end paper claim conversion, from image to 837 text file.
Watch Hewto.ai process a CMS-1500 in real time
A two-minute walkthrough of ingesting, extracting, and validating a HCFA / CMS-1500 claim — from scan to 837P-ready structured data.
CMS 1500 OCR software
Layout-aware OCR reads faxed, scanned, and photographed CMS-1500 claim forms at any quality — including handwriting and stamps.
Health insurance claim data extractor
Extracts every box of the health insurance claim form (Boxes 1–33): patient, insured, diagnosis pointers, modifiers, and rendering/billing NPIs.
Validation & edits
Applies NPI, ICD-10, and CPT checks plus payer edits with per-field confidence scoring before data leaves the pipeline.
Clean output & APIs
Delivers structured JSON or 837P-ready data to your clearinghouse, EHR, or RCM platform.
Why Hewto.ai outperforms traditional CMS-1500 OCR
We don't use character-by-character OCR. Hewto.ai runs an agentic document extraction pipeline built on vision-language models fine-tuned specifically for the HCFA / CMS-1500 form. The model reads the claim the way a trained biller does — looking at the whole form, its layout, and every visual cue — so it captures the details a traditional OCR engine silently misses.
Vision-first, not character-first
A VLM sees the form as a whole — box borders, checkboxes, tick-marks, signatures, stamps, red drop-out ink, and overlapping handwriting — instead of stitching guesses letter by letter. Visual context stays intact.
Fine-tuned on CMS-1500 forms
Our models are fine-tuned on real HCFA / CMS-1500 claims across payers, scan qualities, and handwriting styles. They know Box 24 is a service line — not just a grid of characters — so extractions map cleanly to fields, not raw text.
Agentic reasoning, per field
Each field runs through a purpose-built agent that verifies context, cross-checks related boxes, and self-corrects when something looks off — the kind of judgment a deterministic OCR pipeline simply can't make.
- Checkbox and tick-mark selections in Boxes 1, 10, 11d, 27
- Handwritten patient signatures and dates
- Values written outside the printed field lines
- Red drop-out ink bleeding into extracted text
- Modifier stacks and pointers linked to the wrong service line
- Provider stamps, initials, and manual corrections
- Every checkbox and tick — including partially marked ones
- Handwriting in any box, including signatures and dates
- Out-of-bounds writing correctly assigned to the right field
- Clean data from red drop-out ink CMS-1500 templates
- Correct diagnosis pointers → service line relationships
- Stamps, initials, and hand-corrections preserved with confidence scores
Fine-tune a vision-language model at the click of a button
Hewto.ai provides vision-language model fine-tuning at the click of a button. Upload a handful of labeled samples of CMS-1500 forms — or any new form variant, payer template, or document type you handle — and Hewto.ai fine-tunes a purpose-built VLM for it. No ML team, no training pipelines, no infrastructure to manage.
- Upload samples, click fine-tune, ship
- No ML engineers or training pipelines required
- Custom accuracy on your document mix
- Ready to run in minutes, not weeks
- 01Upload labeled samplesDrop in 20–200 examples of your target form.
- 02Click Fine-tuneHewto.ai kicks off a fine-tuning run — no config, no code.
- 03Ship the modelYour custom VLM goes live behind the same API endpoint.
Every field on the professional claim
As a complete health insurance claim data extractor, Hewto.ai's CMS 1500 OCR software captures every box of the claim form — so nothing is re-keyed by hand.
- Boxes 1–13: patient & insured demographics
- Box 21: ICD-10 diagnosis codes
- Box 24: service lines, CPT/HCPCS, modifiers, charges
- Boxes 24J / 31–33: rendering & billing provider NPIs
Convert HCFA to 837 Professional
Hewto.ai parses CMS-1500 to ANSI 837 and generates a compliant X12 837P file — a true HCFA 1500 to EDI converter. Every box is mapped through a CMS-1500 to EDI 837P crosswalk, so a scanned or faxed claim becomes clean, submittable EDI with no manual keying.
CMS-1500 → X12 loop / segment mapping
- Box 24 service lines → Loop 2400 (SV1, DTP service dates)
- Box 21 diagnoses → Loop 2300 HI (health care diagnosis codes)
- Boxes 1–13 patient & insured → Loops 2010BA / 2010CA (subscriber & patient)
- Boxes 31–33 rendering & billing provider → Loops 2310B / 2010AA (NM1, PRV, NPI)
- Charges & totals → CLM segment and monetary (AMT) elements
ST*837*0001*005010X222A1~ CLM*PATIENT01*185.00***11:B:1~ HI*ABK:E119~ NM1*82*1*SMITH*JANE****XX*1234567890~ LX*1~ SV1*HC:99213*185.00*UN*1***1~ DTP*472*D8*20250114~
Generated automatically from a scanned CMS-1500 image — image to 837 text file.
CMS-1500 data extraction software for real-world claims
CMS-1500 digital mailroom software
Auto-classify and process every CMS-1500 hitting your fax lines and mailroom — automated paper claims digitization for healthcare, end to end.
Red drop-out ink OCR
Reads the red drop-out ink CMS-1500 template and lifts only the entered data — no printed form lines bleeding into results.
Handwritten CMS-1500 extraction
AI handwriting recognition captures hand-filled boxes that defeat traditional OCR.
Scanned HCFA 1500 PDF to 837
Convert scanned HCFA 1500 PDFs and images to 837 format — turning a CMS-1500 image into an 837 text file automatically.
CMS 1500 parsing API & healthcare claims OCR API
Integrate claim capture directly: an X12 837 generator from paper-claim JSON/XML, and an SDK to convert image to 837P EDI.
CMS 1500 parsing API
A healthcare claims OCR API that parses CMS-1500 to ANSI 837 — POST an image, receive structured JSON/XML in response.
SDK: convert image to 837P EDI
Drop-in SDK to convert a claim image to 837P EDI, backed by an X12 837 generator from paper-claim JSON/XML.
Automated claim intake BPO
Offload high-volume paper claim intake — automated claim intake BPO with human-in-the-loop QA and SLAs.
Health insurance claim data extraction, answered
Common questions about Hewto.ai's CMS 1500 OCR software and health insurance claim data extractor for the HCFA / CMS-1500 claim form.
Ready to see Hewto.ai on your documents?
Book a personalized demo and watch us process your HCFA, UB-04, and dental claims live.