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.
Try it here, free
Document Processing Automation Savings Calculator
Quantify what manually keying invoices, POs, packing slips, and forms costs you today, and what intelligent document processing would save each year.
Keep exploring
Free tools
- Document Processing Automation Savings CalculatorQuantify what manually keying invoices, POs, packing slips, and forms costs you today, and what intelligent document processing would save each year.
- Invoice Processing Cost Per Invoice CalculatorWork out your fully loaded cost per invoice including labor, software, OCR page fees and exception handling outside AP.
- Certificate of Conformance Extraction Field TemplateGenerate a JSON extraction schema for supplier certificates of conformance, with required fields and the confidence bar before auto-acceptance.
ERP fixes and how-tos
- Sage X3 AP automation: from invoice capture to postingHow to automate accounts payable in Sage X3: invoice capture, matching to receipts and orders, import and posting, approvals and what still needs a human.
- SYSPRO AP invoice posting: GRN matching, posting and common errorsStep by step AP invoice posting in SYSPRO: GRN matching, entering and posting the invoice, GL distribution and the common posting errors and their fixes.
- How to Enter an AP Voucher in SyteLineEnter a SyteLine AP voucher against received POs or as a non-PO expense, understand three-way matching and distributions, and fix common voucher problems.
Runs with your ERP
- Affinda and Infor LN: AI document capture for invoices and ordersHow Affinda AI document extraction fits Infor LN invoice and order capture, what data flows, what breaks, and where a private on-prem AI layer helps.
- DocBits and Infor LN: supplier invoice capture and matchingHow DocBits captures supplier invoices, matches them to Infor LN POs and receipts and hands them to LN, with integration notes, setup and pitfalls.
- Nagarro Invoice Scanner for SAP S/4HANAHow Nagarro's Invoice Scanner handles scanning, OCR, monitoring and posting release for incoming invoices in SAP S/4HANA: setup, pitfalls and AI help.
Guides
- AI-Powered Document Processing for ERP SystemsAutomate invoice, PO, and packing slip processing into ERP with AI document extraction. Covers OCR, layout analysis, validation rules, and ERP posting.
- Building an AI Document Processing Pipeline: OCR to ValidationHow to build an AI document processing pipeline: OCR quality, LLM extraction, schema validation, and the human review layer that catches what slips through.
- Infor LN Accounts Payable Processing and AutomationAutomate Infor LN accounts payable processing with invoice matching, approval workflows, payment scheduling, and vendor management configuration best practices.
Integrations
- How to add document OCR to Oracle NetSuiteAdd document OCR to Oracle NetSuite: capture invoices, packing slips and certs of conformance with confidence thresholds, review queues and REST write-back.
- How to add document OCR to SAP Business ByDesignCapture invoices, packing slips and certificates into SAP Business ByDesign with OCR, confidence thresholds, three-way matching and a human review step.