Short answer: automated document data capture turns PDFs, scans or photos into fields your business software can use. OCR recognises text. A useful solution must also validate the data, match reference records and transfer it into the ERP under controlled conditions. Recognised text is not yet a correct business record.
An order arrives by email. Someone opens the attachment, retypes items, finds product codes and enters quantities. An error in the document may enter the system too. Digitalisation should reduce manual work while preserving control, not copy the same mistake faster.
This guide is for businesses improving the whole workflow from document to system record. It is not a free PDF to Excel converter or a promise of fully autonomous AI.
First check whether you need OCR at all
- API, XML or agreed CSV: suitable structured data should generally be imported directly.
- A PDF with text: the existing text can often be extracted, but field meaning and layout still need interpretation.
- A scan or photograph: text recognition is needed, and image quality affects results.
- Handwritten notes and varied layouts: test difficult samples and define a manual review path first.
There is little value in turning good structured data into an image and reading it again. With invoices, distinguish structured records from their PDF presentation. Read more in the guide to preparing systems for e invoicing.
Where is capture useful beyond invoices?
For incoming orders, it connects the customer, items, quantities and requested date. For delivery notes, it proposes a receipt to compare against the order and actual delivery. For field reports, it helps identify the work order, materials and notes. For project documentation, it suggests labels and the relevant project.
Each case needs different business validation. A delivery note does not prove everything listed was received. A time entry is not automatically approved billing. Define the responsible person and permitted automated steps before connecting to the ERP.
From attachment to confirmed transfer
An illustrative workflow, not a client's internal application. Exceptions stay visible and have an owner.
- 01
Receive
An authorised source, complete file and duplicate check.
- 02
Capture
Identify document type, text, tables and fields.
- 03
Validate
Required fields, units, product codes and business rules.
- 04
Review exceptions
A person sees the original and corrects uncertain results.
- 05
Transfer to ERP
Only an approved record, protected against duplicates.
- 06
Confirm status
Destination system confirmation or a visible error.
Example: 12 units are not 120 units
Fictional example: a delivery note lists 12 units of item M-204. Capture proposes 120 units. The application checks the open order, flags the discrepancy and creates a draft for review. The user sees the original line beside the proposal and confirms a correction. If the item is unknown, the system must not silently choose a similar product.
This takes more than a general instruction to an AI model. You need agreed fields and testable rules. Microsoft's documentation on accuracy and confidence describes using confidence scores to select results for further review. A confidence score does not guarantee the whole document is correct. Set thresholds using your test cases, not one successful demonstration.
Errors a polished demo can hide
- Decimal separators and units: 1.5 metres is not 15 items. Packaging may require conversion.
- Different codes: a supplier's identifier is not necessarily your internal item code.
- Incomplete files: missing pages or several documents in one PDF need handling.
- Duplicates: the same attachment can arrive twice under different filenames.
- Failed transfers: a lost connection must not be treated as confirmation or trigger a blind retry.
If the ERP accepted a record but its response was lost, a retry must first check the earlier result. Distinguish “recognised”, “awaiting review” and “transferred” in the interface. Real automation includes an exception queue, not just a list of successful documents.
When should you use a module or a custom app?
Konica Minolta Slovenia describes OCR in business workflows. This is an established software category, so check your document management or accounting software provider first.
- A structured input exists: configure import and validation without unnecessary OCR.
- An existing module supports your documents: configure it and test exceptions and permissions.
- Capture works but retyping follows: integrate it with your destination system.
- Specific documents or multiple systems: tailor the unsupported part of the process.
Before commissioning business system integration, check versions, licences, API access, a test environment and permitted operations. We do not promise a connection before these conditions are understood.
How do you test whether rollout is worthwhile?
Choose one document type and a representative sample. Include different suppliers, layouts, poor scans, corrections and duplicates. Establish the correct answers before testing. Keep setup samples separate from final evaluation samples.
Measure important field correctness, manual review rate, total processing time, incorrect transfers and duplicates. OCR speed alone does not reveal correction effort. Include per document processing, licences, integration and support. There is no sound basis for a percentage savings promise without a measured baseline.
Security and the first step
Before using real documents, agree who can view them, where they are processed, retention periods and deletion. Check the selected provider's terms. Do not upload documents to an arbitrary online tool just because it has a free trial.
At ČrtaIT, we develop business process automation, including validation and data transfer. If a responsible person must also approve a purchase, read about purchase approvals. Scope and application cost depend on documents, exceptions and integrations.
For a first discussion, describe the documents you retype, approximate monthly volume and destination software. A description is enough. Do not include confidential attachments, passwords or customer data in the public form.
Frequently asked questions
Is OCR the same as automatic ERP data entry?
No. OCR recognises text. A complete workflow also identifies fields, validates values and reference data, handles exceptions and confirms transfer into the destination system.
Do we need OCR if a supplier provides XML or CSV?
Usually not if the structured data is suitable and complete. Check direct import first. It still needs mapping, validation and duplicate protection, but there is no reason to turn good structured data into an image and read it again.
Can every document be processed without human review?
Do not assume so. Test representative documents and define which fields and exceptions need review. Recognition confidence alone does not guarantee business correctness.
What happens if the same document arrives twice?
The workflow needs duplicate checks using agreed document identifiers and content, not just filenames. Before retrying an interrupted ERP transfer, check whether the original operation succeeded.
Do we need to send real documents with our first enquiry?
No. Describe the document type, approximate volume and destination software. Agree access, handling, retention and a secure channel before sharing any confidential samples.