Article

Documents you can check

Turn text into useful candidate fields with source references and review when information is missing or uncertain.

A filled field is not evidence

A date may be a preference rather than an agreement. A possibility is not automatically a requirement. Controlled document processing separates original text, derived information and review. The result may also be “unknown”.

Conditions still matter

A fictional request says: “Preferred delivery in week 24. The final date follows approval of the drawing.” A suitable configuration recognises week 24, retains the condition and leaves the final date unknown.

The next step is human review, not automatic calendar confirmation. This example illustrates a new document configuration, not a newly tested delivery-document parser.

Check the source first

A built extraction pipeline preserves original text, identifies paragraphs and sections, and links candidate fields to their source section. A focused regression distinguishes a listing page from one complete document and routes issues to the right processing stage.

From candidate to review

Rules or AI can support recognition and normalisation. Categories and provisional priorities are aids; a candidate field is not yet a definitive business fact. A short quotation helps review while the full source remains available for context.

Test the errors that matter

Use representative examples with missing information, conflicting passages and different layouts. Measure wrongly filled fields and lost conditions too. Integrate with accounting or records only after agreeing meanings, rights, retention and recovery. Existing technology does not guarantee error-free processing of every document.

Fictional process example

From source to review

  1. Source text

    Preferred delivery in week 24.

  2. Candidate field

    Week 24; final date unknown.

  3. Check condition

    Drawing approval is missing.

  4. Human review

    Do not confirm an appointment yet.