system readyPDF in, structured data out

Any PDF in.
Clean data out.
Automatically.

Drop in any PDF — digital, scanned, or handwritten — and datahone reads it like a person, lifting fields, tables, and line items into clean, structured JSON. No template to start, handwriting read first-class at no upcharge. Delivered by webhook, the REST API, or a JSON, CSV, or XLSX download.

No card · 20 free pages / moDigital, scanned & handwrittenTables as arrays
Push clean PDF data into the tools you already run. Connect via webhook or the REST API.
stop copy-pasting from PDFs

What is PDF parsing?

A PDF is built to be read by people, not machines — which is why pulling data out of one usually means copy-paste. PDF parsing turns that document into structured, editable data. datahone goes past classic OCR: instead of just reading characters, it understands what each part of the page means.

Digital export, flatbed scan, or a handwritten note — it reads them all, lifts the fields and tables you care about, and hands them back as clean JSON your tools can ingest. Handwriting is first-class, at no upcharge, and you don’t build a template to begin.

Any PDFDigital, scanned, or handwritten — one model reads them all, with no per-document template to set up.
Tables as arraysMulti-row tables and line items come back as structured arrays — however many rows the page runs to.
Checked, not guessedEvery field carries a confidence score; low-confidence ones wait in a review queue before anything posts.
simple workflow

How PDF parsing works. Three steps.

Send datahone a PDF, tell it where the data should go once, and every document after that runs on autopilot. You only ever touch three surfaces.

Step 01 · send

Send your PDFs

Upload files, forward them to a dedicated email address, or push them through the API. Digital exports, flatbed scans, and photos of handwritten pages all work the same way.

PO-44120 · supplier.pdfscanned pdf · parsing…
Step 02 · extract

AI reads the page

datahone handles varying layouts, scanned and handwritten pages, and complex tables — pulling the exact fields you describe, or inferring the shape. Low-confidence fields wait for review.

doc_typePurchase order
referencePO-44120
line_items7
confidence0.98
Step 03 · export

Export anywhere

Clean JSON streams to any webhook you run — in real time. Pull it from the REST API, download CSV or XLSX, or review it in the dashboard before it lands.

GETapi/v1/exports?format=csv202 queued
GETapi/v1/documents/:id/output200 ok
POST/datahone/webhook200 ok
flexible data capture

Watch it read a PDF.

Point datahone at any PDF and it lifts every field into structured JSON — header data, tables, line items, even a handwritten note. Describe the fields you want, or let it infer the shape.

PURCHASE ORDERHarvest Supply Co.
42 Mill Lane, Bristol, UK
PO number
PO-44120
Order date
2026-04-18
Terms
Net 30
Deliver to
Northgate Warehouse
8 Dock Road, Cardiff, UK
ItemQtyUnitTotal
Oak board 18mm4012.00480.00
Pine batten 2m1201.80216.00
Wood glue 5L614.0084.00
Subtotal780.00
Order total£936.00
approvedJ. Okafor — ship Fri
document.jsonextracting
"docType" "purchase_order" // 0.99 "reference" "PO-44120" "supplier" "Harvest Supply Co." "orderDate" "2026-04-18" "deliverTo" "Northgate Warehouse" "lineItems" "item" "Oak board 18mm" "qty" 40 "total" 480.00 "item" "Pine batten 2m" "qty" 120 "total" 216.00 "item" "Wood glue 5L" "qty" 6 "total" 84.00 "orderTotal" 936.00 "currency" "GBP" "approvedBy" "J. Okafor" // handwritten · 0.93 "note" "ship Fri" "status" "review_passed"
what datahone pulls from a PDF

Any page. Any condition. Same clean data.

From a crisp digital export to a coffee-stained scan with a note in the margin, datahone returns the same structured record your tools can use.

01

Digital & scanned

Native PDFs, flatbed scans, and phone photos are read the same way — deskewed, denoised, and understood, even when the source is far from pristine.

02

Handwriting, first-class

Handwritten forms, margin notes, and signatures are read in the same pass — at no upcharge. Low-confidence reads route to review rather than guessing.

03

Tables as arrays

Multi-row tables and line items come back as structured arrays — however many rows the page runs to, and even when columns shift between documents.

04

Any document type

Purchase orders, delivery notes, statements, contracts, forms, reports, bills of lading — describe the fields you want, or let the AI infer the shape.

05

Multi-page & bulk

Long, multi-page PDFs and whole batches process in parallel. datahone splits, reads, and stitches the result back into one clean record per document.

06

Normalised output

Dates, currencies, and number formats come back in one consistent shape — ISO dates, decimal amounts, currency codes — ready to drop straight into your tools.

let AI do the boring work

Why teams run PDFs through datahone.

It puts document data capture on autopilot, so your team spends its time on the work that actually needs judgement.

Hours back, every week

Stop copy-pasting from PDFs. datahone reads a full document in seconds and posts it for review, so the stack that used to take a morning clears itself.

Seconds per document, not minutes

Fewer keying errors

Every field carries a confidence score; anything uncertain is held in a review queue for a person to confirm. Nothing questionable reaches your systems unchecked.

Review queue on low confidence

Lower cost to process

Handle peak-period volume without temp staff or overtime. You pay per page with a hard cap on every tier — overages are blocked, never billed by surprise.

Per page, hard-capped

Secure & compliant

Documents and the data inside them are encrypted in transit and at rest, scoped to your account, and never used to train shared models. EU-hosted, GDPR-aligned.

EU-hosted, encrypted
questions

PDF parsing, answered.

Q · 01

Digital PDFs, flatbed scans, and phone photos — purchase orders, delivery notes, statements, contracts, forms, reports, bills of lading, and more. Whether it's a clean export or a creased scan, datahone reads it the same way.

Q · 02

Yes — handwritten forms, margin notes, and signatures are read in the same pass as printed text, and at no upcharge. Where a scrawl is genuinely ambiguous, that field is flagged low-confidence and held for review rather than guessed.

Q · 03

Three ways: upload files in the dashboard, forward documents to a dedicated email address, or push them through the REST API. Long, multi-page PDFs and whole batches are all fine.

Q · 04

No. There's no template or rule to set up before you start — describe the fields you want, or let the AI infer the shape. One model reads each layout in context, so a new format doesn't break anything.

Q · 05

Yes. Multi-row tables come back as structured arrays — one object per row, with each column as a field — however many rows the page has, and even when the column layout shifts between documents.

Q · 06

To any webhook endpoint you run, pulled from the REST API, or downloaded as JSON, CSV, or XLSX, ready for the database, app, or warehouse you already use. Review it in the dashboard before it lands. Most teams wire up a destination in minutes.

Q · 07

Every field comes back with a confidence score; low-confidence fields are held in a review queue for a person to confirm before anything posts. Dates, currencies, and numbers are normalised to one consistent shape, in any language.

Q · 08

Per page, with a hard cap on every tier — one PDF page is one page. When you hit your limit the next page is blocked rather than silently billed, so a bulk run can never produce a surprise bill. See pricing →

get started

Stop copy-pasting from PDFs.

Drop in any PDF — digital, scanned, or handwritten — and watch datahone hand it back as clean, structured data, routed wherever you need it. Free in minutes, no card required.

Digital, scanned & handwrittenTables as arraysRouted anywhere