Paper EOB to 835 ERA conversion, automated
Hewto.ai automates paper to 835 conversion — turning faxed, scanned, and mailed EOBs and remittance advices into compliant ANSI X12 835 Electronic Remittance Advice files. Balanced, posting-ready remittances for providers, billing companies, and RCM teams — no manual EOB keying.
Paper remittance to 835 in four steps
Hewto.ai handles the full paper to 835 conversion pipeline — from EOB intake to balanced, posting-ready 835 output.
Paper remittance in
Faxed, scanned, and mailed EOBs and remittance advices land in Hewto.ai — no format prep required.
EOB capture & validate
Vision-language models extract every payment, adjustment, and reason code, with per-field confidence scoring.
Paper to 835 conversion
Captured remittance data is converted into a compliant ANSI X12 835 Electronic Remittance Advice.
835 out
Balanced, posting-ready 835 files are delivered to your practice management or RCM system via SFTP, API, or webhook.
Why Hewto.ai outperforms traditional EOB 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 EOBs and remittance advices. The model reads the document the way a trained payment poster does — so it captures the adjustments and reason codes a traditional OCR engine silently misses.
Vision-first, not character-first
A VLM sees the EOB as a whole — dense payment tables, adjustment columns, reason code legends, page breaks, and stamps — instead of stitching guesses letter by letter. It tells watermark text apart from value text, label text from value text, and background from foreground, just like a human reader.
Fine-tuned on remittance documents
Our models are fine-tuned on real EOBs across payers and layouts. They know a CAS adjustment row is a payment reduction with a reason — not just characters in a column — so extractions map cleanly to 835 segments, not raw text.
Agentic reasoning, per field
Each payment and adjustment runs through a purpose-built agent that verifies context, cross-checks claim totals against service lines, and self-corrects when the math doesn't balance — judgment a deterministic OCR pipeline can't make.
- Adjustment columns misaligned with the wrong service line
- Reason codes separated from the adjustments they explain
- Multi-page EOBs split into orphaned claims
- Check totals that never reconcile to claim payments
- Watermarks and background print bleeding into amounts
- Label text confused with the value text it describes
- Every adjustment aligned to its claim and service line
- CARC / RARC reason codes attached to the right CAS segment
- Multi-page remittances stitched into complete claims
- Payments that balance — line items, claims, and check total
- Watermark text separated from real value text — background noise ignored
- Label text distinguished from the value text it describes
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 EOB and remittance 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 section of the paper EOB
Hewto.ai captures every section of the remittance document — so nothing is re-keyed by hand during payment posting.
- Payer, payee, and check / EFT payment details
- Claim-level paid amounts, patient responsibility, and status
- Service-line payments, units, and procedure codes
- CAS adjustment groups with CARC / RARC reason codes
- Provider-level adjustments and interest (PLB)
- Multi-page and multi-claim remittances, stitched and balanced
ST*835*0001*005010X221A1~ BPR*I*450.00*C*ACH*CCP~ TRN*1*CHK987654*1877260001~ NM1*PR*2*UNITEDHEALTHCARE*****PI*87726~ NM1*PE*1*SMITH*JOHN****XX*1234567893~ CLP*PATCTRL001*1*500*350*150*MB~ SVC*HC:99213*150*100**1~ CAS*CO*45*50~ CAS*PR*2*100~ PLB*1234567893*20250930*L6*0~ SE*11*0001~
Generated automatically from a scanned EOB — paper remittance to 835 ERA.
Paper EOB → X12 835 loop / segment mapping
- Payer & payee details → NM1*PR / NM1*PE (Loops 1000A / 1000B)
- Payment amount & method → BPR segment (check or ACH/EFT)
- Check / EFT trace number → TRN segment
- Claim totals & status → CLP segment (Loop 2100)
- Service-line payments → SVC + DTM segments
- Adjustments & reason codes (CO / PR / OA) → CAS segments
- Provider balancing adjustments → PLB segment
Why teams switch to Hewto.ai
Remittance data extraction built for payment posting
EOB OCR at any quality
Reads scanned, faxed, and photographed remittance documents — dense tables, multi-page EOBs, and stamped or annotated copies.
Payment balancing built in
Every 835 is validated so claim payments sum to service lines and the BPR payment matches — catching extraction errors before posting.
ERA 835 generation service
Full-service paper remittance to 835 conversion with human-in-the-loop QA and SLAs — an extension of your payment posting team.
835 conversion API
POST a paper EOB image or PDF and receive a compliant X12 835 in response. Webhooks, sandbox credentials, and predictable schemas.
EOB to 835 conversion, answered
Common questions about Hewto.ai's paper to 835 conversion service for EOBs, EOPs, and paper remittance advices.
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