Blog
OCR Invoice Processing Guide for AP Automation
19 Aug
Blog
19 Aug
For accounts payable (AP) teams, invoice processing can feel endless, with hours of data entry, cross-checking line items, and chasing down approvals. That’s why many companies rely on optical character recognition (OCR) to automate tasks and streamline workflows, reducing compliance risks and errors.
In this guide, we explore how OCR invoice processing works, why it’s a game-changer for AP automation, and how to integrate it into your current processes without starting from scratch.
Key highlights:
Invoice OCR is a technology that automates the extraction of data from invoices by scanning paper or digital invoices (such as PDFs or images) and converting them into machine-readable, editable, and searchable text.
OCR invoice processing software takes messy, unstructured files and converts them into clean, usable data that your ERP system can route and match far more easily. On its own, it isn’t full automation, but it eliminates the most challenging part of invoice management right at the start, which is why so many finance teams rely on it to save time and reduce errors.
Once an invoice is scanned or uploaded, accounts payable OCR software begins converting it into structured, usable data. From there, the document moves through the standard AP workflow:
Replacing manual processes with OCR for invoices helps transform the entire AP function. Here are four benefits:
With automatic extraction of data from invoices, a job that used to take hours now takes just minutes. That efficiency gain allows your team to spend more time handling exceptions or managing vendor inquiries.
According to Ardent Partners, an average AP team takes 9.2 days to process just one invoice manually. With the help of automation and advanced capture tools like OCR, teams can reduce the processing cycle to 3.1 days. This improvement lets teams free up their time, reduce backlogs, and enhance visibility into working capital.
By eliminating manual input, you can lower processing costs while minimizing the risk of costly, resource-intensive errors.
In fact, according to benchmarking data from AIMultiple, contemporary OCR systems achieve greater than 95% accuracy on standard typed invoices. With ML enhancements, this figure improves even more for mixed formats and low-quality scans.
It’s a fact that streamlined invoice approvals and accurate payments build trust with your suppliers. Understandably, vendors want to be paid on time and without error. For AP teams, consistently doing this yields better terms and helps maintain loyalty.
Unfortunately, the opposite tends to happen: a survey by SAP found that 51% of suppliers report that buyers are usually late with payments, straining relationships, disrupting cash flows, and souring long-term business associations.
OCR captures and logs invoice details with precision; tax codes, timestamps, payment terms, all of which are critical for meeting internal policies and external compliance regulations. With your documents stored in a searchable digital format, your team can respond to audit requests quickly, reduce the risk of non-compliance, and maintain stronger internal controls without incurring additional effort.
Invoice OCR software unlocks new ways for your AP team to streamline operations, mitigate billing issues, and scale workflows with confidence. The following are just five of the high-impact instances where software solutions deliver tangible benefits :
While OCR software can maximize efficiency, it isn’t an end-to-end solution for AP departments. There are limitations when it comes to working with high volumes of submissions, non-uniform formatting, complicated workflows, and approval webs.
Let’s review the most common challenges finance teams encounter:
Truly automating invoice processing requires enterprises to integrate these tools with their business processes, accounting software, and workflows. By embedding OCR into your ERP, for example, a Microsoft Dynamics D365 environment, invoice data can flow directly into your AP workflows, triggering:
Automated invoice scanning in D365 captures data from both digital and paper invoices, applies logic to match them against POs or contracts, and initiates approval workflows based on your predefined business rules.
Learn how to automate the entire accounts payable process with our comprehensive guide.
A strategic approach to optical character recognition ensures both efficiency and scalability. Keep these three best practices in mind:
Whether you want to reduce errors or increase your processing speed, setting benchmarks from the start is critical. Apply robust tracking, with an easy-to-read dashboard view that enables your team to access reports and make optimizations in real-time, before seemingly minor inefficiencies escalate into larger issues.
OCR only adds value when the data lands in the right place. Carefully map invoice fields, making sure that vendor names don’t get dumped into the invoice number, for example, so the information flows correctly into your ERP. A single mapping error can ripple through approvals and payments, creating unnecessary fixes down the line.
Monitoring AP analytics can help you understand if there are any breaks in your process. Look closely at exceptions, cycle times, and overall accuracy to spot trends. For example, one vendor may consistently trigger errors, or a specific invoice format may always cause delays. Use that insight to refine your rules continuously, rather than treat OCR as a “set it and forget it” tool.
Simplify invoice processing with ExFlow Data Capture. Our software works natively within Microsoft Dynamics 365 F&O and Business Central, embedding OCR directly into your existing accounting system without third-party tools or costly overhauls.
ExFlow offers:
Book a demo today to see how ExFlow can improve OCR invoice processing, enhancing efficiency across your finance operations.
When deciding on the OCR software that is best for your accounts payable team, give more weight to ones that combine a high level of accuracy and machine learning. Additionally, look for built-in exception handling, seamless integration with your ERP system, and robust compliance features.
The ideal platform should enhance existing approval flows without requiring a costly and resource-draining process overhaul.
OCR invoice scanning helps maintain compliance standards by creating a digital archive of every document, simplifying audits, ensuring adherence to internal policies, and reducing input errors. By standardizing your data and automating your record-keeping, you can maintain consistent compliance with both regulatory and corporate requirements.
OCR may still require the AP team to perform manual reviews to ensure final accuracy before payments are approved. While the tool can process most invoices automatically, complex layouts, handwritten notes, or poor-quality scans may create discrepancies. For example, scribbled sevens may inadvertently be read as ones by the system.
While the goal is to reduce manual work, it’s essential to have a plan in place that includes human oversight for edge cases.