Structured invoice data from images, PDFs and e-invoices
July 16, 2026 by Lena Hoffmann · 8 min read

Invoice data extraction with an SDK

A production invoice workflow needs more than OCR text. Relevant fields must be structured, traceable and ready for the downstream process.

Sources
Images, PDFs and e-invoices
Core data
Sender, date, amount, invoice ID and reference
Additional data
Address, phone, customer ID, BIC and IBAN
Platforms
Android, iOS and Windows

Which invoice fields can be extracted?

Depending on the document, the result can include sender name and address, date, amount, invoice ID, reference, phone number, customer ID and bank accounts with BIC and IBAN. Not every invoice contains every field, so missing values should be handled as a normal state.

Images, PDFs and e-invoices

Scans and image-based PDFs require image processing and OCR. Machine-readable e-invoices can be parsed reliably within the same Data Capture solution; no separate product is required. The input path may differ, while the application maps results into one domain model.

From extraction to the downstream workflow

  1. Capture or import the source.
  2. Read OCR or e-invoice data locally.
  3. Validate required fields and business rules.
  4. Send the reviewed result to ERP, DMS or accounting.

A valid IBAN is useful validation but does not replace reviewing recipient, amount and reference.

Evaluate with your own documents

Build an approved test set with representative layouts and difficult cases. Measure field accuracy, missing and incorrect values, and manual correction effort separately. Physical devices are the primary test for mobile capture; the Showcase Apps support a quick quality check.

Test data extraction

Extract structured data from your invoices

Evaluate your required fields and platforms with a free trial.

Contact us and receive your quote

Our pricing is tailored to your use case. Let our colleague Harry Beck know how we can help and receive your quote.




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