What Is Intelligent Document Processing (IDP)?
Also known as: IDP, AI document extraction, invoice OCR with AI
Definition
Intelligent document processing (IDP) combines OCR with machine learning or LLMs to read documents such as supplier invoices, purchase orders and material certificates, extract the fields, and create validated records in an ERP.
Intelligent Document Processing (IDP) Explained
Classic OCR turns pixels into text but does not know which number is the invoice total. IDP adds understanding: it classifies the document type, locates fields, handles varied layouts without a template per supplier, and returns structured data with a confidence score for each field.
A typical flow in manufacturing has four steps. Capture documents from email, EDI attachments or a scan folder. Extract header fields (supplier, document number, dates, currency) and line items (part number, quantity, unit price). Validate against ERP master data, such as vendor ID, open purchase order and item cross-reference. Then post the result or route exceptions to a person.
Validation is where value is created. For invoices, the extracted lines are matched to PO and receipt records in a three-way match. Tolerance checks catch price or quantity differences. For material test reports and certificates of conformance, extracted heat numbers, lot numbers and chemical values can be compared with the specification and attached to the receiving lot.
LLM-based extraction handles messy layouts well but can misread or invent values, so confidence thresholds, schema validation and human review of low-confidence fields are essential. Sensitive documents can be processed with a locally hosted vision-language model when they cannot leave the network.
Why It Matters
- Cuts manual keying of invoices, order acknowledgements and certificates, a large share of AP and receiving effort.
- Template-free extraction copes with many suppliers and layout changes.
- Automatic matching to PO and receipt catches price and quantity errors before payment.
- Linking certificates to lots strengthens traceability for AS9100 and similar audits.
In Practice
A supplier emails a PDF invoice with 12 lines. IDP extracts the header and lines, resolves the vendor to its ERP ID, and finds the matching PO. Eleven lines match PO price and received quantity within tolerance. One line shows a unit price 6 percent above the PO, so it is routed to the buyer with the PO price beside the invoice price. The clean lines are staged for posting only after the exception is resolved or approved.
Frequently Asked Questions
How is IDP different from OCR?
OCR only converts images to text. IDP also classifies the document, finds the fields, and validates them against business rules and ERP data.
Can it post directly into the ERP?
It can create staged or draft records through the ERP's import or API layer. Many sites keep a review step for exceptions and low-confidence fields.
Is LLM extraction accurate enough?
Often good on varied layouts, but not perfect. Use schema checks, field confidence and cross-checks with PO data, and sample outputs regularly.
Can it run without sending documents to the cloud?
Yes. Open-weight vision-language and OCR models can run on local GPUs, which suits export-controlled or confidential documents.
Related Terms
Three-Way Match
A three-way match is the accounts payable control that compares the purchase order, the goods receipt, and the supplier invoice on quantity and price before releasing payment, ensuring a company pays only for what it ordered and actually received.
EDI (Electronic Data Interchange)
EDI (Electronic Data Interchange) is the computer-to-computer exchange of business documents such as purchase orders, invoices, and shipping notices between trading partners in a standardized structured format, without human intervention.
Traceability
Traceability is the ability to follow the history, location, and application of a part or material through the supply chain and production process, both backward to its sources and forward to every product and customer it reached.
Data Mapping
Data mapping is the process of defining how each field in a source system corresponds to a field in a target system, including the transformation rules, value translations, default values, and conditional logic needed to move data correctly between them.
AS9100
AS9100 is the quality management system standard for the aviation, space, and defense industry, published by SAE and the International Aerospace Quality Group, which incorporates all of ISO 9001 and adds sector-specific requirements for safety, configuration, and risk.
Working with Intelligent Document Processing (IDP) in a live environment? Our engineers do this every day - and our AI agents automate most of it.