How to scan and capture purchase invoice data accurately
Discover the most advanced techniques and tools to digitize your invoices, automate data extraction, and optimize your accounting process with OCR technology and artificial intelligence.
Invoice scanning and data capture is one of the most tedious and error-prone processes in business financial management. With Dijit.app, we turn this process into a simple and accurate task thanks to our advanced recognition technology.
Our solution combines state-of-the-art OCR with specialized AI algorithms to automatically identify and extract key data such as dates, amounts, suppliers, line items, and taxes, even on invoices with varied formats or poor quality.
Request a free demoSteps to easily scan and capture purchase invoice data with Dijit.app
Follow this step-by-step guide to automatically capture and structure the information from your invoices, saving time and avoiding manual transcription errors.
Capture the invoices
The first step to scan and capture purchase invoice data is to capture the invoices by scanning or taking a photo. Dijit.app lets you do this in several ways: you can use your smartphone camera to take photos of your paper invoices, scan them with any scanner or multifunction device, or simply upload the electronic invoices you have received by email.
The application is optimized to recognize invoices even under less-than-ideal capture conditions, allowing documents with different angles, variable lighting, or even those that are slightly damaged or wrinkled to be processed. There is no need to worry about perfect alignment, as the system automatically corrects these issues.
To improve accuracy, make sure the entire invoice is visible in the image and that it has good lighting. The system works best with natural light or good artificial lighting.
Automatic data extraction
Once the invoice is captured, the advanced OCR (Optical Character Recognition) system of Dijit.app gets to work. The technology automatically identifies and extracts all the important fields for scanning and capturing purchase invoice data: invoice number, date, supplier, line items, amounts, taxes, and total. The platform is trained on thousands of invoice formats, enabling it to recognize virtually any layout and structure.
Thanks to the built-in AI, the system understands the context of each piece of data, correctly distinguishing between issue and due dates, subtotals and total amounts, or correctly identifying the supplier even when multiple contact details appear. This ensures that all relevant data is extracted accurately without manual intervention.
Validation and organization
Although the recognition system is extremely accurate, Dijit.app includes a validation interface that allows you to verify and, if necessary, correct the extracted information. This screen shows the original invoice image alongside the captured data, making it easy to check accuracy and make adjustments if needed.
Dijit.app learns over time, improving its accuracy with every invoice processed. If you correct a piece of data, the system will remember that correction for future similar invoices, progressively reducing the need for manual intervention.
Once validated, the data is stored in a structured way and can be automatically classified according to different criteria: supplier, expense category, project, department, or any other custom tag you configure. This greatly facilitates later search and expense analysis.
Integration and use of the data
The last step to scan and capture purchase invoice data is to integrate the extracted data with your management systems. Dijit.app offers multiple options to export and integrate the digitized purchase invoice information: you can export it to Excel, CSV, or structured PDF, or use direct integrations with the main accounting and ERP systems on the market.
Automatic integrations allow data to flow directly into your accounting software, creating automatic journal entries, recording expenses in the corresponding accounts, and attaching the original invoice image as supporting documentation. This completely eliminates the need to manually enter data into your accounting system, closing the full digitization loop.
Dijit.app is compatible with leading accounting systems such as SAP, Sage, Contasol, A3ERP, ContaPlus, and cloud platforms such as QuickBooks, Xero, or ContasimpleX, among others, thanks to Excel data export. It also offers an open API for custom integrations.
Practical use cases for scanning and capturing purchase invoice data
Discover how different sectors are leveraging Dijit.app technology to automate their document processes and improve operational efficiency.
Order and inventory management
In supermarkets, scanning and capturing purchase invoice data is especially useful for order management, inventory, and invoicing. For example, a store can receive hundreds of daily order invoices in PDF format. With Dijit.app, the data is automatically extracted, organized, and exported to Excel, allowing sales and logistics teams to monitor orders in real time and improve inventory management accuracy.
Financial and operational control
The hospitality sector also benefits from scanning and capturing purchase invoice data. A restaurant or hotel chain can regularly receive invoices, purchase orders, and reports. Dijit.app enables these documents to be processed quickly, organizing them in Excel for precise control of inventory, expenses, and budgets, improving financial and operational visibility.
Shipment and delivery note tracking
In logistics, scanning and capturing purchase invoice data is essential for shipment and delivery note tracking. Dijit.app enables key data from shipping documents to be captured and organized in spreadsheets, making it easier to track products and document deliveries. This provides a comprehensive view of inventory flow and allows teams to have up-to-date information instantly.
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