Hewto.ai
Products · Enrollment Form OCR Software

Convert enrollment forms to EDI 834, automatically

Hewto.ai is enrollment form OCR software and a healthcare enrollment OCR API purpose-built for insurance enrollment — turning scanned, faxed, and handwritten enrollment forms into validated ANSI X12 834 Benefit Enrollment and Maintenance files. End-to-end enrollment intake, from paper to 834 EDI.

See it in action

Watch Hewto.ai process an enrollment form in real time

A walkthrough of ingesting, extracting, and validating an insurance enrollment form — from scan to 834-ready structured data.

Enrollment form OCR software

Layout-aware OCR reads scanned, faxed, and photographed insurance enrollment forms at any quality — including handwriting, checkboxes, and signatures.

Insurance enrollment data extractor

Extracts every field of the member enrollment form: subscriber demographics, dependents, coverage elections, group and policy numbers, and effective dates.

Validation & eligibility edits

Applies SSN, date, plan code, and dependent relationship checks with per-field confidence scoring before data reaches your benefits system.

Clean output & APIs

Delivers structured JSON or 834-ready data to your benefits administration platform, TPA, or carrier eligibility system.

Agentic Document Extraction

Why Hewto.ai outperforms traditional enrollment form 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 insurance enrollment forms. The model reads the form the way a trained benefits administrator does — looking at the whole document, its layout, and every visual cue — so it captures the elections and dependents a traditional OCR engine silently misses.

Vision-first, not character-first

A VLM sees the form as a whole — election checkboxes, plan tables, dependent blocks, signatures, and overlapping handwriting — instead of stitching guesses letter by letter. Visual context stays intact.

Fine-tuned on enrollment forms

Our models are fine-tuned on real insurance enrollment forms across carriers, layouts, and handwriting styles. They know a dependent block is a family member — 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 sections, and self-corrects when something looks off — the kind of judgment a deterministic OCR pipeline simply can't make.

Traditional OCR misses
  • Coverage election checkboxes and waiver tick-marks
  • Handwritten SSNs, dates of birth, and signatures
  • Dependent blocks with ambiguous relationships
  • Plan and tier selections buried in dense tables
  • Qualifying life event details written in margins
  • Effective dates conflicting across form sections
Hewto.ai captures
  • Every election checkbox — including partially marked ones
  • Handwriting in any field, including SSNs and signatures
  • Dependents and beneficiaries with correct relationships
  • Plan, tier, and coverage level for every line of coverage
  • Margin notes and life event details assigned to the right field
  • Date conflicts flagged with per-field confidence scores
One-click VLM fine-tuning

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 enrollment 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
Fine-tune workflow
  1. 01Upload labeled samplesDrop in 20–200 examples of your target form.
  2. 02Click Fine-tuneHewto.ai kicks off a fine-tuning run — no config, no code.
  3. 03Ship the modelYour custom VLM goes live behind the same API endpoint.
Full form coverage

Every section of the enrollment form

As a complete insurance enrollment data extractor, Hewto.ai captures every section of the enrollment form — so nothing is re-keyed by hand during open enrollment or new hire onboarding.

  • Subscriber demographics: name, SSN, DOB, address
  • Dependent & beneficiary details with relationships
  • Coverage elections: medical, dental, vision, life plans & tiers
  • Effective dates, qualifying life events & signatures

Group Health Enrollment Form

2026 Plan Year · Medical / Dental / Vision

SubscriberJohn A. Doe
SSN•••-••-4321
Dependent 1Jane Doe · Spouse
Dependent 2Sam Doe · Child
MedicalPPO Gold · Family
DentalDMO Basic · Family
VisionWaived
Enrollment · extracted
PlanPPO-GOLD
TierFamily
Eff. date01/01/2026
99.6% confidence
Paper enrollment to 834 converter

Convert enrollment forms to X12 834

Hewto.ai parses enrollment forms and generates a compliant ANSI X12 834 Benefit Enrollment and Maintenance file. Every section is mapped through an enrollment form to EDI 834 crosswalk, so a scanned or faxed form becomes clean, submittable EDI with no manual keying.

Enrollment form → X12 loop / segment mapping

  • Subscriber demographics → Loop 2000 (INS, NM1*IL)
  • Dependents → member-level Loop 2000 (INS*N, NM1*03)
  • Coverage elections → HD segments (Loop 2300): medical, dental, vision
  • Effective & termination dates → DTP 356 / 357 segments
  • Group & policy numbers → REF*0F / REF*1L segments
enrollment.834 (X12 834)
ST*834*0001*005010X220A1~
BGN*00*ENROLL20260101*20260101~
INS*Y*18*030*XN~
REF*0F*GRP12345~
NM1*IL*1*DOE*JOHN****34*XXX4321~
INS*N*01~
NM1*03*1*DOE*JANE~
HD*030**PPO-GOLD~
DTP*356*D8*20260101~

Generated automatically from a scanned enrollment form — image to 834 EDI file.

Digital mailroom & data capture

Enrollment data extraction software for real-world intake

Enrollment digital mailroom

Auto-classify and process every enrollment form hitting your fax lines and mailroom — built to absorb open enrollment season volume spikes.

Handwritten enrollment extraction

AI handwriting recognition captures hand-filled names, SSNs, and dates that defeat traditional OCR.

Checkbox & election capture

Reads plan options, coverage tiers, waiver checkboxes, and tick-marks — including partially marked selections.

Paper enrollment to 834

Convert scanned and faxed enrollment forms into compliant ANSI X12 834 Benefit Enrollment and Maintenance files automatically.

For developers

Enrollment form parsing API & healthcare enrollment OCR API

Integrate enrollment capture directly: an X12 834 generator from paper-form JSON/XML, and an SDK to convert image to 834 EDI.

Enrollment form parsing API

A healthcare enrollment OCR API that parses enrollment forms to ANSI 834 — POST an image, receive structured JSON/XML in response.

SDK: convert image to 834 EDI

Drop-in SDK to convert an enrollment form image to 834 EDI, backed by an X12 834 generator from paper-form JSON/XML.

Automated enrollment intake BPO

Offload high-volume paper enrollment intake — automated enrollment intake BPO with human-in-the-loop QA and SLAs.

Enrollment form OCR FAQ

Insurance enrollment data extraction, answered

Common questions about Hewto.ai's enrollment form OCR software and insurance enrollment data extractor for paper and faxed enrollment forms.

Ready to see Hewto.ai on your documents?

Book a personalized demo and watch us process your HCFA, UB-04, and dental claims live.