Extracta
Document AI, grounded in the page

Extracta turns the invoices, receipts, IDs, contracts, and statements piling up in your inbox into clean, typed JSON — every field traced back to the exact spot on the page it came from, every value scored, every low-confidence read routed to a human before it ever hits your database.

Powering document workflows at finance, lending, and operations teams

Northwind SupplyCobalt LendingVeridian HealthTidal LogisticsMeridian TitleOrbit Payroll
One engine, any document

From a scanned messto fields you can ship.

Extracta doesn't match a template and hope the next vendor used the same layout. It reads the page — language, structure, and tables — the way a person would, then hands your code values it can rely on, each one carrying the exact spot it was read from.

Define a schema, get the fields

Describe what you need in plain English or a few JSON keys — vendor, total, due date, policy number, line items — and Extracta returns exactly that shape. No bounding-box drawing, no per-vendor template, no waiting on a data-labeling team. Point it at a new layout and it adapts.

Tables and line items, intact

The table is the hardest part of any document, and it's exactly where template tools fall apart. Extracta reconstructs rows and columns across page breaks, merges wrapped cells, and returns a clean array — so a 40-line invoice or a multi-page statement comes back as structured rows, not a wall of text.

Every value scored, every value grounded

Each field comes back with a confidence score and the exact coordinates on the page it was read from. Highlight the source in one click, trust the 0.99s, and let the system surface the 0.71s — instead of discovering a bad read three steps downstream in your ledger.

Reads the document as written

Crooked phone photos, faxed forms, handwriting, stamps, multi-column layouts, and over twenty languages — Extracta deskews, denoises, and reads them all. Built-in OCR means you hand it the raw file and get back data, with no pre-processing pipeline of your own.

Humans only where it counts

Set a confidence threshold and let everything above it post straight through. Anything below lands in a review queue where a person verifies a single highlighted field in seconds — not a re-key of the whole document. Full automation, without auto-posting the one read the model wasn't sure about.

It gets sharper with your corrections

Every fix a reviewer makes teaches your workspace. Extracta learns the quirks of your specific vendors, forms, and edge cases, so the share of documents that need a human shrinks week over week — and the queue you started with quietly empties itself.

What teams see in their first 90 days on Extracta

99.2%
Field accuracy after review
2.4s
Median page extraction time
85%
Documents posted with no human touch
11 hrs
Re-keying saved per person each week
Built for the document you actually have

Pre-trained for thepaperwork that runs business.

Start extracting common document types the moment you sign up — no model to train, no schema to write. When your documents are stranger than that, teach Extracta yours.

Accounts payable, day one

Invoices, purchase orders, and receipts come pre-modeled with vendor, totals, tax, and full line items — so AP automation works the first hour, across thousands of vendor formats you never have to configure.

Identity and KYC documents

Passports, driver's licenses, and national IDs are parsed into name, number, dates, and MRZ, with authenticity and tamper signals — extraction your onboarding and compliance flows can build on.

Contracts and long-form text

Pull parties, effective dates, renewal terms, liability caps, and governing law out of fifty-page agreements, each clause linked back to the paragraph it came from for instant review.

Bring your own document type

Lab reports, shipping manifests, lockbox checks, lease agreements — give Extracta a handful of examples and your custom schema, and it extracts your one-of-a-kind documents like a pre-built model.

For developers

An extraction APIthat returns data, not homework.

Send a file, get a typed object. No queue plumbing, no OCR vendor to wire up, no parsing layer of your own to maintain — just clean fields you can validate against your own schema.

One endpoint, any file

POST a PDF, image, or scan to a single extract endpoint and get structured JSON back. Async webhooks for big batches, sync for the fast ones. Typed SDKs for TypeScript, Python, and Go.

Schemas you control

Send your JSON Schema and Extracta returns values that match it — typed, validated, and coerced — so the response drops straight into your database without a translation layer.

Confidence you can branch on

Every field ships with a score and source coordinates. Auto-accept above your threshold, route the rest to review, and reconcile with our human-in-the-loop API — all in code.

Sandbox with real documents

A full test environment with sample documents and identical responses to production, so you build, branch, and ship your extraction flow before you ever touch a live invoice.

Customers

Teams that stopped re-keying documents by hand.

We were paying three people to type invoices into our ERP and still closing the month late. Extracta posts eighty-five percent of them with zero human touch now, and the rest take a reviewer seconds. We moved the team onto actual accounting.

D
Daniela Reyes
Controller, Northwind Supply

Our underwriting bottleneck was a person reading bank statements line by line. Extracta returns the balances and income as structured fields with the source highlighted, so we underwrite in hours and the analyst just confirms the flags.

O
Omar Haddad
Head of Credit, Cobalt Lending

The confidence score is the whole product for us. We auto-accept the high ones and only ever look at the fields the model flagged, so we got real automation in a setting where a wrong read is a patient-safety event. Accuracy after review sits above ninety-nine percent.

P
Priya Anand
VP Operations, Veridian Health
Pricing

Priced per page, not per headache.

You pay for pages extracted — review, grounding, and confidence scores are included on every plan. No per-field fees, no template setup charges, no annual lock-in.

Free

For trying it on your real documents.

$0/mo
  • 100 pages per month
  • Pre-trained document models
  • Field-level confidence & grounding
  • JSON & CSV export
  • Community support
Most popular

Scale

For teams running documents in production.

$0.04/page
  • Volume pricing from page one
  • Custom schemas & document types
  • Human-in-the-loop review queue
  • Extraction API, SDKs & webhooks
  • Workspace learning from corrections
  • Priority support & 99.9% SLA

Enterprise

For regulated and high-volume operations.

Custom
  • Committed-volume pricing
  • Single-tenant or in-VPC deployment
  • ID verification & tamper detection
  • SSO, SCIM & granular roles
  • Data residency & retention controls
  • Named solutions engineer & migration

Questions, answered.

Do I have to train a model or draw templates?

No. Extracta ships with pre-trained models for common documents like invoices, receipts, IDs, and statements, so extraction works the moment you upload. For unusual document types you describe the fields you want in a schema and provide a few examples — there's no bounding-box drawing and no data-labeling project to run.

How accurate is it, really?

On standard documents Extracta reads most fields above 0.95 confidence straight out of the box. Because every value carries a score and the exact source location, you auto-accept the confident reads and route the rest to a quick human review — which is how teams reach above 99% field accuracy on what actually lands in their systems.

Can it handle bad scans, photos, and handwriting?

Yes. Built-in OCR deskews crooked phone photos, denoises faxes, and reads handwriting, stamps, multi-column layouts, and over twenty languages. You hand Extracta the raw file as it arrived — there's no pre-processing pipeline for you to build or maintain.

What does the human-in-the-loop review actually look like?

You set a confidence threshold. Anything above it posts straight through; anything below it lands in a review queue where a person sees the document with the uncertain field highlighted and confirms or corrects a single value in seconds — not a re-key of the whole page. Every correction also teaches your workspace, so the queue shrinks over time.

How do I get the data into my own systems?

Send a file to one extract endpoint and get back typed JSON that matches your schema — ready to drop into your database, ERP, or app. There are SDKs for TypeScript, Python, and Go, webhooks for batch jobs, and a sandbox with sample documents that returns the same shape as production.

Is Extracta secure enough for regulated data?

Extracta is SOC 2 Type II and ISO 27001 certified, encrypts documents in transit and at rest, and is HIPAA-ready with a signed BAA. Enterprise plans add single-tenant or in-VPC deployment, configurable retention, and data residency in the US, EU, or Canada.

Drop in a document. Get back data.

Upload your messiest invoice, scan, or statement and watch Extracta return clean, scored fields in seconds. 100 free pages a month, no credit card, no sales call to start.