system readydocuments in, clean data out

Documents in.
Clean data out.
Automatically.

Go live in minutes. AI data extraction that turns PDFs, emails, scans, and spreadsheets into production-ready JSON — no model training, no template editor, built for privacy and scale.

No card · 20 free pages / moPDF · DOCX · CSV · XLSX · images · emailCancel any time
Connect via webhook or the REST API — push parsed data to the tools you already run.
how it works

Three steps. No templates required.

Datahone runs a multi-engine AI pipeline — structural parse, per-page language-model extraction with automatic failover, and a PII scrub on every page — but you only ever touch three surfaces.

Step 01 · ingest

Drop a document

PDF, DOCX, CSV, XLSX, TXT, images, emails. Drop into the dashboard, attach to an email address, or POST to the REST API — the engine is the same.

invoice_july.pdf3 pages · uploading…
Step 02 · extract

AI extracts structured data

A per-page LLM pass reads tables, line items, dates, totals — whatever is on the page. Held low-confidence fields wait for a human; everything else streams through.

vendorNorthwind Logistics Ltd
invoiceNW-2026-04412
total_gbp14,820.40
confidence0.97
Step 03 · deliver

Push to your stack

Fire a webhook, pull the JSON from the REST API, or read it in the dashboard. Failed parses are refunded automatically — you never pay for a page that didn't return.

POST/datahone/webhook200 ok
GETapi/v1/documents/doc_4a9b2c200 ok
VIEW/dashboard/reviewopen
real results

Stop retyping. Start automating.

Every day, teams manually copy data from invoices, emails, and documents into the tools that run their business. Datahone does it automatically — with fewer errors and zero extra hires.

152 hours saved per month

That's roughly £4,500 in labour costs or £55,000+ a year for a small ops team. Datahone customers handle more volume without hiring more people.

Go live in minutes, not weeks

Most teams start extracting data in under ten minutes. No model training, no dataset prep, no waiting on IT.

Fewer errors reaching your systems

A single wrong invoice number can delay payment by days. Datahone normalises dates, addresses, and line items before they hit your tools.

Runs at scale without breaking

Cutting-edge AI automation paired with world-class extraction. 99.9%+ uptime, automatic scaling, full audit logs — datahone does the heavy lifting so your team can run the business.

features

Everything that makes a parser worth running.

Multi-modal LLM, native PII, real review queue, hard caps. The list of things that should be table-stakes but never quite are.

Any document, any layout.

PDF, DOCX, CSV, XLSX, images, emails. Templates if you want them, raw extraction if you don't. Scanned and handwritten pages are first-class — no "vision pages" upcharge.

Templates, or skip them.

Lock a schema if you have one, or let the LLM infer the shape. Both modes hit the same review queue, same webhook, same billing.

Real-time review queue.

Held fields wait for a human; everything else streams. No low-confidence rows ship silently — and "permanent failure" pages refund themselves.

PII detection, built in.

A dedicated PII pass runs on every page. Names, addresses, IDs, bank details — flagged, anonymised, or pass-through. Your call, per project.

Webhooks + REST.

Push or pull through webhooks or the REST API. SDKs are in the pipeline. Per-document API keys, per-engine attribution, retry semantics that don't double-bill.

Per-page pricing, hard caps.

Pay only for what you process. When you hit the tier limit, the next file is blocked — not silently billed. Plain English at every layer.

what comes back

From a real PDF to a real payload.

Left: a page from a supplier invoice. Right: exactly what hits your webhook. No retyping, no reshaping, no template tooling.

01 · the input

scanned · p.2 / 3
NORTHWIND LOGISTICS LTD
Invoice no.NW-2026-04412
Issue date18 Jul 2026
Due date15 Aug 2026
CurrencyGBP
Line items14
Subtotal12,350.33
VAT @ 20%2,470.07
Total£14,820.40

02 · the JSON payload

// status: complete · 0.96 conf
{
  "vendor":      "Northwind Logistics Ltd",
  "invoice_no":  "NW-2026-04412",
  "date_issued": "2026-07-18",
  "due_date":    "2026-08-15",
  "currency":    "GBP",
  "line_items":  14,
  "subtotal":    12350.33,
  "vat_rate":    0.20,
  "vat_amount":  2470.07,
  "total_gbp":   14820.40
}
security

Designed for privacy, backed by compliance.

Your documents and the data inside them are sensitive. Datahone is built to keep them that way — encrypted in transit and at rest, scoped to your tenant, and never used to train shared models.

Read our full data & security posture →
EUGDPRcompliant
AICPASOC 2 Type 2in pipeline

EU-hosted infrastructure.

Documents and account data are stored in the European Union, encrypted in transit and at rest. AI extraction runs with providers outside the UK and EEA under Standard Contractual Clauses.

GDPR, UK-DPA & CCPA compliant.

Compliant with major data privacy regulations including the EU, UK, California and Singapore.

SOC 2 is in the pipeline.

This is roadmap work, not a certification we have earned. We’ll update this page when it is achieved.

Annual penetration testing.

Third-party pen testing every year on a fixed cadence. Findings tracked, scoped, and remediated on-record.

Enterprise-grade encryption.

TLS 1.2+ in transit, AES-256 at rest. API keys are hashed; passwords are never stored in plaintext.

Your data stays yours.

We never sell, share, or reuse your documents. Your data is used only to deliver your results, then aged off on a retention schedule you control.

use cases

Where teams plug datahone in first.

Finance · AP

Invoice intake without the typists.

Drop supplier PDFs and emailed invoices. Get line items, totals, VAT, due dates straight to your ERP webhook.

~ 4×faster than rekey
HR

CVs into a candidate pipeline.

Parse résumés in any layout. Skills, dates, roles, languages — structured rows your ATS already speaks.

~ 90sper candidate, hands-off
Legal · RevOps

Contracts that don't get reread.

Pull renewal dates, counterparties, termination clauses. Hold low-confidence clauses for a lawyer — ship the rest.

100%of clauses traceable
two ways to work

Dashboard for ops. API for devs.

Same engine underneath, two surfaces over the top. Pick one or use both — your data stays in the same tenant either way.

Dashboard

Drop files, monitor parses, review held fields, manage billing. Built for ops teams — no code required.

REST API

Programmatically send documents, receive structured JSON, and embed parsing into your stack. Idempotent, retried-by-default, fully auditable.

roi calculator

See how much datahone saves you.

Move the sliders to match your workflow. We’ll show the savings in real time.

Start with a preset
Your workflow
2050k
≈ 346 per week · 50 per day
1100
≈ 6,000 pages per month
1240
≈ 35 hours per week · 1.0 full-time employee
£10k£200k
you save
£36,383
per year vs manual data entry · based on the Business tier at £499/mo
7.6× return on your datahone costA meaningful chunk of manual work eliminated
1,800 hours freed 45 full work-weeks back pays for itself in 48 days

Built to be a force multiplier for your operations.

Document workflows sit at the heart of every modern business — invoices, contracts, claims, applications, the documents that move money and people through the system. And in most teams, that critical work still depends on someone, somewhere, retyping fields into a CRM, ERP or spreadsheet.

That's where the friction is. Hiring more staff just to keep up with paperwork doesn't scale, costs compound month after month, and a single mistyped invoice number can hold up a payment for days.

Datahone replaces that bottleneck with a multi-modal AI pipeline that reads documents in any layout, validates the output against your confidence thresholds, holds anything questionable for human review, and pushes the rest into your stack in seconds — without templates, without long integration projects, without a quietly growing cost line.

The outcome is straightforward: teams handle far more volume with far less manual work, the error rate falls, finance closes faster, ops compounds quietly in the background. The work that actually moves the business forward is what your team gets to spend its time on.

The datahone team
building in the UK
pricing

Per-page pricing. Hard caps. No silent overages.

Change plans any time, cancel any time. Volumes up to 100k pages are on the pricing page; above that, talk to us.
freeFree
£0/mo
20 pages / mo
no card required
starterStarter
£49/mo
100 pages / mo
£0.49 / page
growthGrowth
£89/mo
300 pages / mo
£0.30 / page
scaleScale
£269/mo
3,000 pages / mo
£0.090 / page
businessBusiness
£499/mo
10,000 pages / mo
£0.050 / page
enterpriseEnterprise
£899/mo
20,000 pages / mo
£0.045 / page
Hard cap at every tier — overages are blocked, not silently billed.See full feature matrix →
faq

The honest answers.

Tap any question to expand. If something isn't here, talk to us.

Q · 01

Datahone is built around a multi-modal large language model that reads documents the way a person would — understanding context across the page, not pattern-matching against a template. That means scanned PDFs, photographed receipts, handwritten notes and unstructured emails are first-class inputs, not edge cases. A real-time human review queue catches anything the model isn't confident about, so nothing low-confidence ships silently into your stack. Per-engine attribution on every field, hard-cap billing with no silent overages, and an AI pipeline that improves as the underlying models do.

Q · 02

Two paths. Recoverable failures retry once on the failover engine. Permanent failures are flagged, surfaced in the dashboard, and the pages are refunded automatically. You never pay for a page that didn't return.

Q · 03

Every page passes through a dedicated PII scan before leaving your tenant. Documents and extractions are encrypted at rest, deleted on a retention schedule you control. SOC 2 is in the pipeline; SLA available on Business+.

Q · 04

No. Allowances reset at the start of each billing period. The hard cap is the whole point — predictable cost, no quiet overage on the invoice.

Q · 05

PDF: actual page count. CSV / XLSX: 1 page per 10,000 cells. Email body: 1 flat page; attachments counted by their own format. Full worked examples on the pricing page.

Q · 06

Real-world structured fields (totals, dates, line counts) on clean PDFs land at ≥ 0.96 confidence. Anything below your project threshold goes to review — so the wrong answer doesn't reach your stack regardless of where the model lands.

Q · 07

Settings → Billing → Cancel. One click. Your plan simply runs to the end of the billing period you've already paid for. Your data exports stay reachable for 30 days after cancellation.

get started

Ready to remove manual work from your operations?

Start free in minutes. See exactly how datahone fits into your workflow before you ever talk to us.

No model training requiredBuilt for real workflows, not experimentsScales from point-and-click to API