For banks, brokers and lending teams

Loan and mortgage applications assembled from the evidence

Every credit file is the same exercise: read the applicant's statements and contracts, extract the numbers, and re-present them in the lender's own format. DocEngine AI does the reading and the re-presenting.

The problem

What this work looks like today

Evidence arrives as a pile of PDFs

Six months of statements, two payslips and a contract, each with the relevant numbers buried in a different layout.

Manual transcription into application forms

Income figures and employer details are typed into the lender's forms by hand, where a single error affects the assessment.

Incomplete files bounce back

A missing statement month or an unsigned page sends the file back to the applicant and adds days to the decision.

How it works

From the documents you have to the pack you need

1

Upload the applicant's evidence

Identity documents, payslips, bank statements, employment contracts and existing loan agreements go into one applicant profile.

2

Review extracted figures with their sources

Income, employer, account details and existing obligations are listed with a link back to the statement page they were read from.

3

Produce the application pack

The lender's application forms, income summaries and declarations are filled from the same profile and exported as one ordered file set.

Documents it reads

  • Passport or national ID
  • Payslips
  • Bank statements
  • Employment contracts
  • Tax returns
  • Existing loan and credit agreements
  • Property documents and valuations

Documents it produces

  • Loan or mortgage application forms
  • Income and affordability summaries
  • Identity verification records
  • Declarations and consent forms
  • Supporting-document index

Outcome

What changes in practice

Faster file preparation

Reading and transcription happen in one pass, so assessors receive a complete structured file instead of raw attachments.

Fewer returned applications

Required fields and missing evidence are flagged while the applicant is still in the loop, not after submission.

An auditable trail

Every figure in the pack points back to the document and page that produced it, which stands up to internal review.

Questions

Common questions

Stop retyping the same details

Upload your documents once and let DocEngine AI fill the rest. Free to try, no card required.