COMMERCIAL
RAW
Contributors download one complete statement from their own banking app and upload the file, every page in order; photos, screenshots, single pages and others' statements are rejected. Native files mean transaction lines arrive as machine-readable text wherever the PDF carries a text layer, not as an OCR guess. The task is open only in the US, Canada, the UK, Europe, Australia and New Zealand, so layouts span 36 countries' retail banks and card issuers, several languages and currencies. Underwriting, open-banking and document teams train on synthetic statements because banks will not license customer data and individuals will not hand statements to a stranger; this is a consented route to real ones.
Regions
US, Canada, UK, Europe, Australia and New Zealand (36 countries)
Updated
What’s in the collection and how it’s delivered.
Data modality
Text
Annotated
Raw (no labels)
Exclusivity
Non-exclusive rights
Capture tool
File upload from phone
Use cases
Statement parsing and table extraction, transaction categorization, underwriting and affordability models
Format
Resolution
Native PDF, text layer where the source system produced one
Total volume
Available on request
Regions
US, Canada, UK, Europe, Australia and New Zealand (36 countries)
Purity level
99% passed QA review
Where this data comes from and how it’s licensed.
Every file comes straight from the contributor who provided it and is rights-cleared before it’s listed, so your license traces back to the source.
Contributor
Provides the data and uploads it straight to Kled.
Kled
Clears the rights before anything is listed.
Your team
Licenses it under the terms below.
License terms
Non-exclusive commercial training license.
Consent
Each contributor opted in to this use when they uploaded.
Specs reflect the current collection and may change as new data is added. Final terms are set in your license agreement.
