Messy data examples

Examples of messy data converted into clean tables

MessyData helps turn copied data from messy sources into structured rows and columns. These examples show common inputs and the kind of clean table output you can create before copying the result or downloading it as CSV.

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Contact list to table

Names, emails, and companies copied from emails, PDFs, or notes.

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Messy input

John Doe john@acme.com Acme
Jane Smith - jane@beta.io - Beta
Mike Jones, Northstar, mike@northstar.co

Clean table

Name	Email	Company
John Doe	john@acme.com	Acme
Jane Smith	jane@beta.io	Beta
Mike Jones	mike@northstar.co	Northstar

PDF text to table

Repeated rows copied from PDF documents or reports.

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Messy input

Invoice 1042 Acme Ltd 2026-05-01 £240.00
Invoice 1043 Beta Co 2026-05-03 £180.00
Invoice 1044 Northstar 2026-05-07 £320.00

Clean table

Invoice	Company	Date	Amount
1042	Acme Ltd	2026-05-01	£240.00
1043	Beta Co	2026-05-03	£180.00
1044	Northstar	2026-05-07	£320.00

Product price list to CSV

Product names, prices, quantities, and categories turned into spreadsheet-ready rows.

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Messy input

Notebook pack £12.99 stationery
Desk lamp - £34.50 - office
USB-C cable x10 £7.99 tech

Clean table

Product	Price	Category/Qty
Notebook pack	£12.99	stationery
Desk lamp	£34.50	office
USB-C cable	£7.99	x10 / tech

AI output to table

Rough AI-generated bullet lists converted into structured columns.

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Messy input

- Alpha: urgent, owner Sam, due Friday
- Beta: waiting, owner Priya, due Monday
- Gamma: done, owner Alex, due Wednesday

Clean table

Item	Status	Owner	Due
Alpha	urgent	Sam	Friday
Beta	waiting	Priya	Monday
Gamma	done	Alex	Wednesday

Website directory to table

Listings copied from web pages, directories, or search results.

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Messy input

Acme Studio London hello@acme.example Design
Northstar Labs Manchester contact@northstar.example Software
Orbit Works Bristol team@orbit.example Operations

Clean table

Company	Location	Email	Category
Acme Studio	London	hello@acme.example	Design
Northstar Labs	Manchester	contact@northstar.example	Software
Orbit Works	Bristol	team@orbit.example	Operations

Notes to structured rows

Repeated notes or rough records turned into a cleaner table.

Try this example

Messy input

Client: Acme | task: follow up | priority: high
Client: Beta | task: send quote | priority: medium
Client: Orbit | task: book call | priority: low

Clean table

Client	Task	Priority
Acme	follow up	high
Beta	send quote	medium
Orbit	book call	low

Turn messy copied data into spreadsheet-ready tables

MessyData is useful when copied data does not paste neatly into Excel, Google Sheets, or CSV workflows. You can use it with repeated patterns from PDFs, emails, websites, reports, product lists, AI-generated outputs, and rough notes. Paste the messy data, convert it into rows and columns, then copy the table or download the result as CSV.

Have messy data like these examples?

Paste it into MessyData and convert it into a clean table.

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