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.
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.
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.
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.
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.
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.
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.
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.
Most teams start extracting data in under ten minutes. No model training, no dataset prep, no waiting on IT.
A single wrong invoice number can delay payment by days. Datahone normalises dates, addresses, and line items before they hit your tools.
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.
Multi-modal LLM, native PII, real review queue, hard caps. The list of things that should be table-stakes but never quite are.
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.
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.
Held fields wait for a human; everything else streams. No low-confidence rows ship silently — and "permanent failure" pages refund themselves.
A dedicated PII pass runs on every page. Names, addresses, IDs, bank details — flagged, anonymised, or pass-through. Your call, per project.
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.
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.
Left: a page from a supplier invoice. Right: exactly what hits your webhook. No retyping, no reshaping, no template tooling.
// 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 }
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 →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.
Compliant with major data privacy regulations including the EU, UK, California and Singapore.
This is roadmap work, not a certification we have earned. We’ll update this page when it is achieved.
Third-party pen testing every year on a fixed cadence. Findings tracked, scoped, and remediated on-record.
TLS 1.2+ in transit, AES-256 at rest. API keys are hashed; passwords are never stored in plaintext.
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.
Drop supplier PDFs and emailed invoices. Get line items, totals, VAT, due dates straight to your ERP webhook.
Parse résumés in any layout. Skills, dates, roles, languages — structured rows your ATS already speaks.
Pull renewal dates, counterparties, termination clauses. Hold low-confidence clauses for a lawyer — ship the rest.
Same engine underneath, two surfaces over the top. Pick one or use both — your data stays in the same tenant either way.
Drop files, monitor parses, review held fields, manage billing. Built for ops teams — no code required.
Programmatically send documents, receive structured JSON, and embed parsing into your stack. Idempotent, retried-by-default, fully auditable.
Move the sliders to match your workflow. We’ll show the savings in real time.
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.
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.
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.
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+.
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.
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.
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.
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.
Start free in minutes. See exactly how datahone fits into your workflow before you ever talk to us.