Extract data from documents, without a template per layout.
Invoices, contracts, forms and identity documents hold the values your systems need. Parashift reads them by content, field by field, with a confidence value per value instead of unstructured full text.
Retyping is the most expensive step in the process.
In most organisations a person reads the document and transfers the values into the system. That is slow, error-prone and only scales by adding headcount.
Template-based extraction just moves the effort: instead of retyping, someone maintains zones and rules. Every new sender, every new layout costs time again before a single value comes out.
What the extraction does.
Fields per document type
You define which fields a document type should return. The recognition finds them in the document, wherever they sit.
Line items as a table
Article, quantity, unit price and amount come back as structured rows, not as a block of text.
Confidence per field
Every value carries a confidence value. You decide at which threshold processing continues automatically.
Validation against master data
Extracted values can be checked against supplier, customer or article master data before they reach the target system.
Handwriting, fax, poor scans
Skewed pages, fax quality and handwritten additions are normal operation, not an exception.
Zero-shot on new layouts
A layout that has never been seen is read on the first run. There is no training phase per sender.
From document to structured record.
Any source
API, mailbox, scanner or watched folder.
Type per page
First it is established what the document is, then which fields are sought.
Fields and line items
Header fields and line items are read out and given confidence values.
Target system
Structured data goes by API into the ERP, DMS or workflow, uncertain values go to review.
Template-based extraction and Parashift.
| Template-based | Parashift | |
|---|---|---|
| New sender | Create zones and rules | Read without setup |
| Layout change at an existing supplier | Template breaks, outage until corrected | Keeps running |
| Line items | Often only header fields are reliable | Line items as structured rows |
| Uncertain values | Silent error in the target system | Confidence per field, review above threshold |
| Handwriting and fax | Frequent failure | Part of normal operation |
| Effort over time | Grows with every sender | Stays with the number of document types |
What changes in data capture.
shorter handling time on average
Reference: Raiffeisenpreconfigured document types with fields
Parashift platformtemplates per sender to maintain
Parashift architectureExtraction is the second step.
First the document type is recognised, then the matching fields are read. Together they make up the digital mailroom.
Data extraction, answered briefly.
What does zero-shot mean in data extraction?
Which fields can I have extracted?
Are tables and line items recognised correctly?
How do I know whether a value is correct?
Does this work with poor scan quality and handwriting?
How does the data reach our ERP or DMS?
Extract data from documents automatically.
Book a no-obligation briefing: we will show the extraction on your own documents.
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