Automated form processing: turn any form into structured data
Hewto.ai automates form processing and form capture — agentic document extraction and fine-tuned vision-language models convert scanned, faxed, photographed, or handwritten forms into clean, validated JSON. End-to-end form capture and form processing, mapped to your schema, ready for the systems downstream.
Automated form capture
Layout-aware form capture reads faxed, scanned, and photographed forms at any quality — structured, printed, or handwritten.
Any form, any layout
Fine-tuned vision-language models drive form processing on invoices, applications, KYC IDs, tax forms, HR onboarding, contracts, shipping, and more.
Validation & confidence
Every captured field ships with a confidence score plus optional business-rule validation and human-in-the-loop review.
Structured JSON output
Clean JSON matched to your target schema — plug it straight into your database, ERP, RCM, CRM, or downstream workflow.
Why Hewto.ai outperforms traditional 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 for structured, semi-structured, and handwritten forms. The model reads a form the way a trained analyst would — looking at the whole page, 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, tables, tick-marks, signatures, stamps, and overlapping handwriting — instead of stitching guesses letter by letter. It reads checkbox crosses and ticks like a human, and distinguishes watermark text from value text, label text from value text, and background from foreground. Visual context stays intact.
Fine-tuned on real forms
Our models are fine-tuned on real invoices, applications, KYC IDs, contracts, and intake forms across industries. They know a totals row is not a line item — 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 fields, 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 application headers
- Watermarks and background print bleeding into extracted values
- Label text confused with the value text it describes
- Handwritten signatures, dates, and initials
- Line-item tables misaligned across columns
- Values written outside printed field boundaries
- Multi-page forms where fields span page breaks
- Stamps, watermarks, and hand-corrections
- Every checkbox and tick — including partially marked ones
- Crosses, ticks, and checkmarks read the way a human eye reads them
- Watermark text separated from real value text — background noise ignored
- Label text distinguished from the value text it describes
- Handwriting in any box, including signatures and hand-written dates
- Line-item tables with correct row-column alignment
- Out-of-bounds writing correctly assigned to the right field
- Multi-page forms grouped and extracted as one logical record
- Stamps, watermarks, 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 any form type you handle — 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 business form you touch
Hewto.ai's Form OCR API is model-driven, not template-driven. Point it at a new form type and it works — no per-form configuration, no fragile regexes, no template library to maintain.
{
"form_type": "invoice",
"vendor": { "name": "Acme Corp", "tax_id": "12-3456789" },
"invoice_number": "INV-2026-0042",
"issue_date": "2026-07-14",
"due_date": "2026-08-14",
"line_items": [
{ "sku": "AC-140", "qty": 4, "unit_price": 89.00, "total": 356.00 },
{ "sku": "AC-210", "qty": 1, "unit_price": 245.50, "total": 245.50 }
],
"subtotal": 601.50,
"tax": 48.12,
"total": 649.62,
"_confidence": { "invoice_number": 0.99, "total": 0.98 }
}Structured JSON output — matched to your target schema, ready for downstream systems.
Form OCR at real-world scale
Digital mailroom
Auto-classify and route every form hitting your fax lines, mailroom, and email — end-to-end paper-to-data automation.
Handwriting recognition
AI handwriting recognition captures hand-filled fields on forms that defeat traditional OCR.
Any file type
PDFs, scans, faxes, camera photos, TIFFs — multi-page batches supported, extracted in one call.
Secure by default
SOC 2-aligned controls, encryption in transit and at rest, private-cloud and on-premise options for regulated industries.
Form OCR API & schema-first SDK
A developer-friendly Form OCR API with predictable JSON, per-field confidence, sandbox credentials, and clear docs — from zero to production in days.
REST parsing API
POST any form — an image, PDF, or multi-page scan — and receive structured JSON with per-field confidence in a single response.
Schema-first SDK
Define your target schema once; the SDK maps every form to it consistently, whether it is one page or fifty.
Webhooks & SFTP
Push clean data to your systems via webhook, SFTP, or direct database write — no polling, no glue code.
Form data extraction, answered
Common questions about Hewto.ai's Form OCR API — agentic document extraction for any business 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.