Send your workbooks
Upload a CSV or XLSX, forward exports to a dedicated email address, or push them through the API. Multi-sheet workbooks and very large files are handled in one go.
system readyworkbook in, clean rows outMessy sheet in.
Messy sheet in.
Clean rows out.
Automatically.
Drop in any CSV or Excel file and datahone untangles it — detecting headers, inferring types, splitting merged cells, and de-duplicating — into clean, normalised rows. Multi-sheet workbooks and million-row files included. Exported as a tidy JSON array, or downloaded as CSV or XLSX.
No card · 20 free pages / moCSV, XLSX & multi-sheetMillions of rows
tame the workbook
What is spreadsheet parsing?
Spreadsheets are where data goes to get messy — merged cells, header rows three deep, mixed date formats, blank columns, and the same record entered twice. Spreadsheet parsing turns that workbook into clean, consistent rows a machine can actually use.
datahone detects where the real headers are, infers each column’s type, splits merged cells back into values, and de-duplicates — across every sheet in the file — then hands you a tidy JSON array. From a 20-row export to a million-row dump.
Headers detecteddatahone finds the real header row — even buried under titles and blank lines — and names every column.
Types inferredEach column is typed — text, number, date, currency, boolean — and every value coerced to that type.
Cleaned & dedupedMerged cells split, blanks resolved, and duplicate rows removed — one clean record per real row.
simple workflow
How spreadsheet parsing works. Three steps.
Send datahone a workbook, tell it where the clean rows should go once, and every file after that runs on autopilot. You only ever touch three surfaces.
AI tidies the data
datahone detects headers, infers each column’s type, splits merged cells, resolves blanks, and removes duplicate rows — across every sheet. Ambiguous cells wait for review.
file_typeXLSX
rows1,204
dupes_removed37
confidence0.98
Export clean rows
A tidy JSON array — or a normalised table — streams to any webhook you run. Pull it from the REST API, download CSV or XLSX, or review it in the dashboard.
GETapi/v1/exports?format=csv202 queued
GETapi/v1/documents/:id/output200 ok
POST/datahone/webhook200 ok
from chaos to clean
Watch it tidy a sheet.
Point datahone at a messy workbook and it finds the headers, types every column, normalises the values, and drops duplicate rows — then hands you a clean JSON array, one object per real row.
Sheet1Q2-dataraw_dump
Customer text
Date date
Amount currency
Region enum
1
ACME inc. ACME Inc.
12/03/262026-03-12
1,234.51234.50
EMEAEMEA
2
globexGlobex
2026-03-132026-03-13
$980980.00
emeaEMEA
3
InitechInitech
March 142026-03-14
2.4k2400.00
APAC
4
UmbrellaUmbrella
15/03/262026-03-15
560560.00
APACAPAC
5
UmbrellaUmbrella
15/03/262026-03-15
560560.00
APACAPACdup
rows.jsoncleaning
[ { "customer": "ACME Inc.", "date": "2026-03-12", "amount": 1234.50, "region": "EMEA" }, { "customer": "Globex", "date": "2026-03-13", "amount": 980.00, "region": "EMEA" }, { "customer": "Initech", "date": "2026-03-14", "amount": 2400.00, "region": "APAC" }, { "customer": "Umbrella", "date": "2026-03-15", "amount": 560.00, "region": "APAC" }] // 4 rows · 1 dup removed
what datahone does to a workbook
Everything that makes a sheet a mess. Handled.
From a hand-built export with three header rows to a million-line database dump, datahone returns the same clean, typed, de-duplicated rows.
Multi-sheet workbooks
Every tab in an XLSX is read, named, and returned — whether they share a schema or each holds a different table. No splitting files by hand first.
Header detection
datahone finds the real header row — even buried under a title block, logos, or blank lines — and names every column, so row one isn’t mistaken for data.
Type inference
Each column is typed — text, number, date, currency, boolean — and every value coerced to it, so “12/03”, “March 12”, and “2026-03-12” all land as one date.
Merged cells & blanks
Merged cells are split back into real values and blank cells are forward-filled where the data clearly carries down — so every row stands on its own.
De-duplication
Exact and near-duplicate rows are detected and dropped — one clean record per real entry — with a count of what was removed so nothing disappears silently.
Big files
Million-row CSVs and large XLSX workbooks stream through in chunks, so memory never blows up and the whole file comes back as one consistent dataset.
let AI do the boring work
Why teams run workbooks through datahone.
It turns the spreadsheet clean-up that eats an analyst’s afternoon into a step that runs itself — consistently, at any size.
No more manual clean-up
Stop hand-fixing headers, dates, and duplicates in every export. datahone does it in seconds and returns rows that are ready to load straight away.
Minutes back per file
Consistent every time
The same file run twice gives the same clean output. Types, formats, and dedup rules are applied uniformly — so downstream tables never drift.
One shape, every run
Scales to any size
From a 20-row export to a million-row dump, the price is per page — 10,000 cells — with a hard cap on every tier, so a big file never produces a surprise bill.
Per page, hard-capped
Secure & compliant
Your files 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
going further
Other formats datahone cleans up.
A spreadsheet is one source. The same engine handles the documents and files your team retypes elsewhere.
Solution
PDF parser
Pull fields, tables, and totals out of any PDF — digital, scanned, or handwritten — without a template to start.
Explore SolutionInvoice OCR
Supplier, line items, totals, VAT, dates, and PO numbers — straight from any invoice into your accounting tool.
Explore SolutionEmail parser
Turn any inbox — orders, leads, receipts, bookings — into structured data, delivered by webhook or the REST API.
Explore PlatformDocument parsing
The umbrella capability behind every solution — any document in, clean structured data out. See how datahone reads and structures your files.
Explorequestions
Spreadsheet parsing, answered.
Q · 01
CSV and Excel (XLSX), including multi-sheet workbooks. TSV and other delimited text are handled too. Legacy binary .xls files are not parsed — they are declined up front with a clear unsupported-format response. Upload files, forward exports to a dedicated address, or push files through the API.
Q · 02
datahone reads the sheet in context to locate the real header row — even when it sits below a title block, logo, or blank lines — and names each column from it, so row one is never mistaken for data.
Q · 03
Yes. Merged cells are split back into real values, and blank cells are forward-filled where the data clearly carries down — so every output row is complete and stands on its own.
Q · 04
Each column is classified — text, number, date, currency, boolean — and every value coerced to that type. Mixed date formats, thousands separators, currency symbols, and shorthand like “2.4k” all resolve to one consistent value.
Q · 05
Very large — million-row CSVs and big XLSX workbooks stream through in chunks, so memory stays flat and the whole file returns as one consistent dataset.
Q · 06
To any webhook endpoint you configure — your database, data warehouse, or BI pipeline — as a JSON array or a normalised table. Pull it from the REST API, download CSV or XLSX, or review it in the dashboard before it lands.
Q · 07
Cells the model can't confidently coerce — an unparseable date, a value that doesn't fit its column type — are flagged low-confidence and held in a review queue, rather than guessed and written through.
Q · 08
By cells, billed as pages: one page = 10,000 cells (rows × columns). A 1,000-row × 8-column sheet is one page; a 50,000-cell file is five. Every tier has a hard cap, so a large workbook is blocked rather than silently over-billed. See pricing →
get started
Stop cleaning spreadsheets by hand.
Drop in a messy workbook and watch datahone hand it back as clean, typed, de-duplicated rows — ready to load anywhere. Free in minutes, no card required.
Headers & types detectedDe-duplicatedTidy JSON array