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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.
parse(){
"vendor_name": "Acme Industries",
"invoice_no": "INV-20418",
"total_amount": 12480.00,
"currency": "USD",
"due_date": "2026-07-15"
}Try a sample, or drop in one of your own documents. LangParse figures out the schema and returns clean, structured data — no setup.
| Description | Amount |
|---|---|
| Cloud compute — June | 8,200 |
| Support & SLA | 3,100 |
| Data transfer | 1,180 |
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.
Pre-built schemas for the document types you already handle. One click to start.
Name a field, pick a type. LangParse reads the layout and returns exactly those fields.
Routers classify every item and even split multi-document PDFs into their parts — sending each one to the right parser, automatically.
Any vendor can print a percentage. LangParse instead gives every field a confidence score, cross-checks it across multiple models, and measures straight-through accuracy on your own documents — so trust is something you verify, not something you take on faith.
Several models extract each document independently. Where they agree, confidence is high; where they disagree, a judge model settles it — and the field is flagged. You see the disagreement, never a false certainty.
LangParse holds back a sample of passing documents for a human spot-check, giving you a real, ongoing straight-through accuracy rate on your documents — not a number from our marketing page.
A shared review queue with soft-locks so two people never double-work, correction hints, and per-field confidence thresholds you set. Anything low-confidence or rule-flagged is held — never delivered blind.
Pull from an email inbox, your own S3 bucket or the API — then deliver structured results straight to a webhook, S3/SQS/SNS, or Xero. Idempotency keys and cross-account IAM keep it production-safe.
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.
SELECT * FROM documents WHERE type='invoice' AND total > 5000 AND date >= '2026-01-01'
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.
Every request is scoped to an organization the user actually belongs to. No cross-tenant leakage, by construction.
Runs behind CloudFront with a hardened API — no directly exposed infrastructure — plus a web application firewall and per-key rate limiting.
A full customer-360 view and secure, fully-audited "log in as" support — help customers without ever exposing their data.
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.
Everything you need to ship your first parser.
Start freeFor teams running real document volume in production.
Start free trialAdvanced capabilities, data residency and consensus.
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