Document automation and normalization

We normalize PDF and scanned documents and process information from emails, contracts, forms, invoices and reports. We extract and structure the relevant fields, validate against your systems of record and keep every value linked to its source document.

Documentos / Facturas / #1842 1.842 / 3.000 este mes
1Factura Electrónica
N° 00452
Timbre Electrónico SII
Transportes del Pacífico SpA2RUT 76.248.913-5
Importadora Andina Ltda.RUT 77.009.341-K
Fecha emisión: 04/10/20263
DescripciónTotal
Flete marítimo contenedor 40' CNT-482131.050.000
Gastos de desaduanaje134.500
Seguro de carga internacional100.000
Neto$1.284.500
IVA 19%$244.055
Total a pagar$1.528.5554
1
Folio00452
2
RUT emisor76.248.913-5
3
Fecha emisión04/10/2026
4
Total a pagar$1.528.555
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Validación ERPCoincide 98%

01 What it includes

We automate the extraction, classification and normalization of documents: invoices, contracts, forms, emails, reports and scanned documents. We apply OCR and AI models to structure the relevant fields, validate against your systems of record and keep field-by-field traceability back to the source document. We integrate the flow with your ERP, CRM and other existing systems.

02 How we do it

  • Document type and volume analysis
  • Ingest PDFs, scans and forms with OCR and quality control
  • Extraction and field-normalization models
  • Automatic validation against systems of record
  • Exception workflow and auditable traceability

03 Concrete benefits

  • Processing thousands of documents per month without manual intervention
  • Structured data ready for analysis
  • Field-by-field traceability for audits
  • Elimination of data entry and extraction errors

04 Real example

An importer processes 3,000 monthly invoices with automatic extraction and validation against their ERP. Processing time dropped from 5 days to 4 hours, with 98% accuracy.

Frequently asked questions

Document automation and normalization

What kinds of documents can you process?
Invoices, contracts, forms, purchase orders, clinical records and scanned documents. In every case we extract the defined fields, validate them against the system of record and return clean data to the right destination.
What happens with unreadable or incomplete documents?
They are routed to a review queue with the reason they could not be processed. The reviewer sees the original image next to the field that failed, corrects it and the system learns from the adjustment. Nothing is discarded silently and no probable value is invented.
How do you guarantee the extracted data is correct?
We apply validation rules to every field: format, ranges, check digits and consistency against the system of record. Fields that fail validation are not written. We also store the source document and page for every extracted value.
How much volume can it handle per month?
The design scales with volume, not with licences. We have processed tens of thousands of documents a month in a single integration, and capacity is tuned to file size and the number of fields to extract. The real limit usually sits in downstream validation, not extraction.

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Shall we talk about your case?

In a first conversation we review your operation and tell you plainly what can be automated and what cannot, yet.

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