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Document recognition

S1 DocReader

The invoice, posted before you type it.

Document Reader takes a batch of documents as PDF or image, reads the QR code and VAT number, verifies against the tax registry, matches trader and items against your own history and scores its confidence. Whatever clears the bar posts itself; whatever doesn't goes to a review queue.

QR & tax registryLearned profilesScoringAutoCommitGuided review

In two minutes

  • Drop the whole batch at once — PDF, JPG or PNG — and watch a live preview, score and decision per file.
  • Every document passes QR reading, tax-registry verification, VAT validation, issuer profile and Soft1 history before it reaches posting.
  • Three clear outcomes: posted automatically, needs review, or blocked with a specific reason.
  • Every correction you make trains that supplier's profile, so their next invoice goes through more easily.

What it looks like

Phase 1: the file batch on the left, preview, score and live log on the right.
Phase 2: posted, for review and blocked — with circuit, trader and score.
S1DOCREADER

What it does

A batch, not a file

Drag and drop many PDF/JPG/PNG files together. The same file is never added twice and processing can be cancelled at any point.

QR and registry verification

Where a QR code exists, its details are fetched and compared against the document. The issuer's VAT number is validated down to its check digit.

It learns your suppliers

A learned profile is kept per issuer. A new supplier goes through generic extraction; a known one through targeted extraction based on their layout.

Soft1 history

The issuer's most frequent circuit and series are looked up, so the proposed entry looks like the one you would have made anyway.

Scoring and three outcomes

AutoCommit when the score clears the bar with no warnings, NeedsReview on a lower score or a possible duplicate, Blocked on an invalid VAT number or a missing trader.

Guided review

Step through the pending items with the preview beside the fields, correct quantity and price, match the missing item, and post with one button.

How we start

01

Samples

We collect real documents from your main suppliers.

02

Setup

We define circuits, series and the item-matching rules on your own data.

03

Parallel run

It runs alongside manual entry until accuracy is confirmed per supplier.

04

Production

Full flow with user review on the pending queue and continuous profile training.

Requirements

  • An active Soft1 environment and a Verilic account with an active contract
  • An active AI runtime through the Verilic contract
  • Documents as PDF, JPG or PNG in legible quality
  • Traders and items present in Soft1 for the matching to work

Who it is for

  • Finance teams handling a high volume of purchase invoices each month
  • Businesses with steady suppliers and repeating layouts
  • Teams looking to cut typing errors on the purchase side
  • Environments receiving scanned rather than structured documents

FAQ

Does it post on its own without review?
Only when the score clears the bar and there are no warnings. Anything else goes to the review queue and waits for a person.
What accuracy should I expect?
It depends on the quality and consistency of your documents. That is why we always start from your own samples before committing to numbers.
What about duplicate documents?
It checks whether the same document already exists in Soft1. On a suspected duplicate the file goes to review instead of being posted.
Do I need S1 Jarvis to buy it?
No. S1 DocReader is a product in its own right with its own licence. If you already run S1 Jarvis it also opens as an add-on, with the DR command.

Works with

Want to see it on your own data?

We run the demo on a scenario of yours and tell you what it takes to put it in production.

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