Document extraction infrastructure

Teach it once.
Extract forever.

Turn any recurring document into a fast, typed API. Create one template from a few samples, then process thousands of files without paying for an LLM on every extraction.

~1 creditper extraction
No LLMat extraction time
99.1%sample confidence
extract.ts LIVE
REQUESTRESPONSE142ms
// One template. Any volume.
const result = await decomp.extract({
  template_id: "tpl_invoice_01",
  file: invoicePdf,
});
Extraction complete 0.991 confidence
{
  "invoice_number": "INV-2048",
  "vendor": "Northstar Labs",
  "total": 18420.00,
  "currency": "USD"
}
01 OCR02 Extractors03 Consensus04 JSON

BUILT FOR THE SYSTEMS THAT RUN THE WORLD

FINTECHLOGISTICSHEALTHCAREACCOUNTINGINSURANCE
THE DECOMP MODEL

Pay for intelligence once.
Keep the speed forever.

Traditional extraction runs an expensive model on every file. Decomp spends intelligence up front, turning your examples into deterministic extractors that run at software speed.

01

Show, don’t configure

Upload 1–5 representative documents. One works; varied samples improve validation.

02

We build the template

OCR, schema discovery, extractor generation, consensus testing, and validation happen in the background.

03

Extract at any volume

Send a template ID and a document. Get typed JSON back, without LLM inference in the hot path.

BUILT FOR SCALE

The unit economics
finally make sense.

One expensive setup. Millions of inexpensive extractions. Your cost curve flattens instead of growing with model tokens.

See generous launch pricing →
COST PER DOCUMENTVOLUME →
LLM extractionDecomp
100×cheaper extraction target
0LLM calls per extraction
START WITH 1,000 FREE CREDITS

Your documents already
know the schema.

Give Decomp a few examples. We’ll do the rest.

Build your first template →