Invoice & Document Extraction
Turn stacks of supplier invoices and PDFs into structured, checkable records.
Available for discovery and a custom proposal after we understand your context
Overview
Turn an everyday problem into a clear workflow
Someone retypes every supplier invoice; typos become payment disputes.
Teams this is designed for
Accounting teams buried in paper and PDF invoices.
What it includes
Persian and English invoice extraction (printed and scanned)
Confidence scores; low-confidence fields routed to humans
Approval queue before anything enters your ledger
The intended outcome
Data entry effort drops and disputes shrink because numbers are checked at entry.
Workflow
How would this work in practice?
An illustrative situation
This scenario explains a possible workflow; it is not a customer case study.
The starting point
A supplier sends a scanned invoice with a faint total.
The proposed workflow
Extracted fields are shown beside the image; the uncertain amount is flagged.
An output to examine
An accountant verifies the total before export to the next system.
The engagement path
Understand the workflow
Review the current process, representative data, constraints and the people responsible for decisions.
Agree the scope first
Define feasibility, inputs, proposed deliverables and acceptance criteria before preparing a tailored implementation proposal.
Review before expanding
Decide the next step from observed results. Any production rollout, training and ongoing support are specified in the agreed proposal.
Inputs & deliverables
What do we start with, and what do you receive?
Inputs we discuss
- Representative scans and PDF invoices
- Required fields and validation rules
Proposed deliverables
- Structured extraction with source evidence
- Low-confidence field review and approved exports
Scope and responsibilities
Financial outputs are reviewed by authorized people before posting, payment or customer communication. The workflow supports judgment; it does not guarantee collection or financial outcomes.
Success measures
How will we evaluate the result?
- Accuracy by field and document type
- Human correction time per document
Your team agrees the baseline, target and measurement method before implementation. Results depend on data quality and the operating context.
Questions
Common questions
What should we share to start?
A short description of the process, a few representative examples and the decision owner are enough for the first conversation. Do not send confidential files through the public request form.
Is this ready-to-buy software?
This is a scoping engagement. The page describes a potential delivery direction; feasibility, integration, price and timing need discovery and an agreed proposal.
Do we need to replace our current systems?
Not automatically. We first examine the existing tools and access methods. Keeping, connecting or replacing a component is an explicit scope decision.
Related solutions
Related paths to explore
Financial Reconciliation & Discrepancy Desk
Close the month faster: automated matching and a governed desk for the discrepancies that matter.
View detailsScoping engagementPayment Matching Desk
Match incoming bank payments to open invoices automatically, exceptions to a human.
View detailsRelated research
Read more about the approach
The next step
Does this problem sound familiar?
No payment and no account needed. You submit a request; we review your context personally and reply with next steps.