I turned 100 document types into JSON with one command

Last week I shipped a programmatic SEO site that turns any product name into its HS code — 320 pages, one command, zero manual work.

Today I did the same thing for documents.

The problem

Every B2B team needs to pull structured data out of documents:

Invoices → line items, tax, totals, vendor, customer
Receipts → merchant, items, payment method
Contracts → parties, term, governing law, termination clauses
Bills of lading → shipper, consignee, containers, ports
Offer letters → candidate, salary, start date
Lab reports → test, result, units, reference range
…and 94 more types

Existing OCR APIs either:

Cost $0.10+ per document with a $500/mo minimum
Require you to train a custom model per document type
Return garbage on layout variations

What I built

Docs-to-JSON — one endpoint, 100+ document types, clean JSON back in ~2 seconds.

Try it: https://boring-saas-infra.pages.dev/document-to-json

Live demo (no signup):

curl -X POST https://document-to-json.boring-saas-infra.workers.dev/extract \ -H "Content-Type: application/json" \ -d '{ "document_type": "invoice", "text": "INVOICE #INV-2043\nDate: 2026-03-14\nVendor: Acme Supplies Ltd.\n..." }'

Returns:

{ "document_type": "invoice", "fields": { "invoice_number": "INV-2043", "date": "2026-03-14", "vendor": "Acme Supplies Ltd.", "customer": "Brightline Imports Inc.", "subtotal": 925.00, "tax": 92.50, "total": 1017.50, "currency": "USD", "line_items": [ {"description": "Copper wire, 2mm", "qty": 120, "unit": "m", "unit_price": 4.50}, {"description": "Steel fittings, 3/4\"", "qty": 40, "unit": "pcs", "unit_price": 7.25} ] } }

The distribution play

Same playbook as the HS Codes stream:

Product page with live demo — /document-to-json
100 SEO landing pages — /document-type/invoice-to-json, /document-type/contract-to-json, /document-type/lab-report-to-json, etc.
Programmatic generation — one JSON config + one template + one generator script
Sitemap ping via IndexNow — 426 URLs to Bing/Yandex in one call

The generator

products-docs.json (excerpt):

[ {"slug":"invoice-to-json","name":"Invoice","category":"Finance"}, {"slug":"contract-to-json","name":"Contract","category":"Legal"}, {"slug":"bill-of-lading-to-json","name":"Bill of Lading","category":"Logistics"}, {"slug":"offer-letter-to-json","name":"Offer Letter","category":"HR"}, {"slug":"lab-report-to-json","name":"Lab Report","category":"Medical"} ]

generator-docs.cjs reads the JSON, loops over 100 entries, injects them into a single template, writes 100 folders, updates sitemap.xml and llms.txt.

That's it. One command:

node generator-docs.cjs

Output:

✅ Згенеровано 100 сторінок у output/document-type/ ✅ sitemap.xml оновлено — всього 426 URL ✅ llms.txt оновлено — 100 типів документів

SEO structure of each page

Every one of the 100 pages includes:

Unique title + meta description
Schema.org Product + BreadcrumbList + FAQPage
Input sample (raw document text) and output sample (structured JSON)
cURL example with document_type=<slug>
Pricing block
5 FAQ items specific to that document type
Related document type chips

Zero duplicate content. Each page has its own example tailored to the document type — invoices get invoice samples, contracts get contract samples, lab reports get lab samples.