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AWS-NATIVEPowered by Claude on Amazon Bedrock

Turn any document into structured data.

LangParse turns PDFs, scans and images into clean, validated JSON — accurately, at scale, and in the region of your choice. Stand it up in minutes; trust it in production.

No credit card · pay per page in simple credits · buy on the AWS Marketplace
INVOICE
#INV-20418
Acme Industriesvendor_name
Cloud compute — June$8,200.00
Support & SLA$3,100.00
Data transfer$1,180.00
Due2026-07-15
$12,480.00total_amount
parse()
confidence 0.98
{
  "vendor_name": "Acme Industries",
  "invoice_no":   "INV-20418",
  "total_amount": 12480.00,
  "currency":     "USD",
  "due_date":     "2026-07-15"
}
Built on AWSBedrockAthenaS3CloudFrontLambdaMarketplaceStripe
01 · Build

A parser in minutes, not months

Start from a ready-made schema, or design your own — name the fields you want and LangParse extracts them. No brittle templates, no per-vendor rules, no OCR babysitting.

Template catalog

Pre-built schemas for the document types you already handle. One click to start.

🧾
Invoice
🛒
Receipt
📄
Contract
🪪
ID card
🏦
Statement
📦
PO

Drag-and-drop schema builder

Name a field, pick a type. LangParse reads the layout and returns exactly those fields.

vendor_nameString
total_amountCurrency
due_dateDate
+ Add field
02 · Route

One inbox, any mix of documents

Routers classify every item and even split multi-document PDFs into their parts — sending each one to the right parser, automatically.

mixed.pdf
Router
INVOICE→ parser
RECEIPT→ parser
CONTRACT→ parser
03 · Trust

Accuracy you can verify and improve

Built for the messy reality of real documents — extraction that starts strong and keeps getting better on your data.

Transforms & rules

Normalize, validate and reshape values — dates, currencies, totals — with live preview as you edit.

Human review queue

Low-confidence results are flagged for a person to confirm before delivery — nothing questionable slips through.

Continuous learning

Every correction grounds future extractions in your own verified examples (RAG). It gets smarter over time.

04 · Connect

Fits the way you already work

Bring your own S3 bucket, deliver anywhere, and route each source exactly where its results should land.

Sources
📥Hosted inbox
⬆️Upload / API
S3Your S3 bucket
LangParse
classify · split · extract
transform · review
Destinations
S3S3 bucket
🔗Webhook
⚙️Your own API
Public REST APIScoped API keysOne-click connection testFull activity log
05 · Search

Ask your documents anything

Every extracted document becomes queryable. Ask in plain English and LangParse translates it into a structured query across your whole history — powered by Amazon Athena.

Drill into any document — fields, original preview, models & cost
invoices over $5,000 from last quarter
SELECT * FROM documents
WHERE type='invoice' AND total > 5000
  AND date >= '2026-01-01'
INVAcme Industries
$12,480.00
INVGlobex Capital
$7,905.50
INVInitech LLC
$6,240.00
06 · Enterprise

Enterprise-ready from day one

Data residency: US — N. Virginia

Data residency by design

Each organization's documents and processing live in the region you choose — US or Australia today, more on the way. Your data stays where you need it.

True multi-tenant isolation

Every request is scoped to an organization the user actually belongs to. No cross-tenant leakage, by construction.

Locked-down edge

Runs behind CloudFront with a hardened API — no directly exposed infrastructure — plus a web application firewall and per-key rate limiting.

Staff MFA & admin console

A full customer-360 view and secure, fully-audited "log in as" support — help customers without ever exposing their data.

07 · Pricing

Pricing that scales with you

Usage is metered as simple credits — pay for the documents and pages you process, nothing more. Subscribe with Stripe or buy on the AWS Marketplace.

Starter

Free

Everything you need to ship your first parser.

Start free
  • 1 organization
  • Template catalog
  • 500 pages / month
  • Hosted inbox + API
  • Community support

Scale

Custom

Advanced capabilities, data residency and consensus.

Talk to sales
  • Everything in Growth
  • Multi-model consensus
  • Continuous learning (RAG)
  • Data residency (US / AU)
  • AWS Marketplace billing
Buy throughStripeorAWS Marketplace

Stop re-typing documents.
Start shipping structured data.