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AI data extraction

Extract data from any document, straight into your schema

Once a document is classified and its schema is set, Klaaro’s AI for document processing fills every field that schema defines. Handwritten, scanned, or digital — the right data lands where you need it, and anything uncertain is marked for review instead of guessed.

Sarah Stemmler
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Sarah Stemmler · Founder & CEO

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100 pages · no credit card

Documents in, records out

An invoice, a till receipt, a scanned delivery note, or whatever document you upload: each file becomes a record in the schema of its own class. Uncertainties are flagged.

NM-3301_Nimblebrook_Metals.pdfpdfInvoiceUploadParseClassifyDefine ClassExtractExtract
HeaderNimblebrook Metals LtdUnit 4, Anvil YardLeeds LS9 8AP

VAT no. GB 284 1937 55

Text

INVOICE

Invoice no. NM-3301

Date 02 Sep 2024

Due 16 Sep 2024

Your order PO-7781

Text

Bill to

Acme Industries Ltd

42 Ledger Lane

London EC2A 4NE

Text

Ship to

Acme Warehouse

Unit 7, Pallet Wharf

London E14 9ST

TableDescriptionQtyUnitVATAmountSteel brackets 90°40£3.2020%£128.00Hex bolts M8, box6£14.5020%£87.00Freight1£35.000%£35.00
Table

Subtotal£250.00

VAT£43.00

Total due£293.00

Text

Vellmoor Bank · IBAN GB12 VELM 1234 5678 9012 34

HeaderHarbour Café12 Gullwing RowBristol BS1 4DB
Text

06 Sep 2024 12:41Receipt 0412

Table2× Flat white£6.401× Club sandwich£8.901× Sparkling water£2.20
Text

TOTAL£17.50

incl. VAT 20%£2.92

Text

Paid by

Visa •••• 4417

Thank you!

HeaderFoldworks Packaging Ltd8 Cartonmill LaneBristol BS2 0QA
Text

DELIVERY NOTE

No. DN-24-1187

Date 05 Sep 2024

Text

Deliver to

Acme WarehouseUnit 7, Pallet WharfLondon E14 9ST
TableDescriptionOrderedDeliveredShipping cartons 60×40200200Pallet wrap 500 mm44Edge protectors2017
Signature

Received by

L. Brandt
StampRECEIVED 06 SEP 2024
Extracted data
SupplierNimblebrook Metals Ltd
Invoice NumberNM-3301
Invoice Date02 Sep 2024
Due Date16 Sep 2024
Line Items3 items
#DescriptionQuantityAmount
1Steel brackets 90°40£128.00
2Hex bolts M8, box6£87.00
3Freight1£35.00
Total£293.00
Next: Validation rules

Structured data extraction you can rely on

Records in your schema

Every value lands in a field of the class schema, so each document of a type comes back in the same shape.

One record per document

A file that holds several invoices returns a record for each. Long files are read in overlapping parts, in more than one pass, and merged into one result.

Flagged, not guessed

If Klaaro has to reconstruct a value rather than read it, such as a smudged digit, the value is marked as uncertain for review. For this, Klaaro reads the original file and needs-review flags must be on. If a field with a required rule comes back empty, it is flagged as missing.

Checked against the original

Klaaro can send the original file along with the OCR text, so handwriting and faint scans are checked against the page itself.

Continue the product tour

Product capabilities

  • OCR with AITurn scans and photos into text
  • Document parsingIngest files and keep their structure
  • Document classificationRecognize every document type
  • Schema generationFields drafted from the document
  • IntegrationsAPI, SDKs, MCP, and n8n

Quality & validation

  • Validation rulesRules that refuse a bad value
  • ApprovalsPeople decide the exceptions
  • EvaluationTest a schema edit before it goes live
See the full product overview

…Or let's talk personally!

Tell me which documents slow you down by booking your 20-minute slot in my calendar. Together, we can find out if Klaaro is the right tool for you.

Sarah Stemmler

Sarah Stemmler

Founder & CEO

Book your slotTry for free

Data extraction FAQ

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