In many companies, manually entering invoice data is still part of the daily routine. Invoice numbers, suppliers, invoice dates, and amounts are entered by hand into the accounting or ERP system. This takes time and increases the risk of typing errors.
Modern document management systems can largely automate this task. Using intelligent document analysis, key information from an invoice is identified and made available for further processing. To this end, ELO uses, among other tools, the ELO DocXtractor, which analyzes invoices and automatically extracts relevant data.
What types of data can be automatically recognized?
Depending on the invoice type and system, a wide range of information can be retrieved automatically.
These include, for example:
- Supplier
- Invoice Number
- Invoice Date
- Due Date
- Invoice Amount
- Sales Tax
- Order Number
- Cost Center
- Invoice Line Items
The retrieved information can then be used for approval processes, archiving, or transfer to an ERP or accounting system.
How does automatic data recognition work?
First, the system analyzes the invoice’s content. If the invoice is a scanned document, the text is extracted using OCR (Optical Character Recognition) . If the invoice is already in digital form, the information it contains can be processed directly.
The software then recognizes the relevant invoice data and assigns it to the appropriate fields. Modern solutions do not limit themselves to simply extracting text; they also recognize the meaning of individual
Information within the document. This makes it possible, for example, to reliably distinguish between invoice numbers, amounts, or suppliers. To achieve this, ELO DocXtractor combines document analysis with AI-powered methods and, if necessary, reconciles the recognized data with connected systems.
Does the data still need to be checked?
Yes. Automatic data recognition significantly reduces the amount of manual work required, but it does not replace every type of expert review.
This allows the recognized information to be reviewed before further processing and corrected if necessary. A quick visual check is particularly recommended for unusual invoice formats or scans that are difficult to read.
With every invoice processed correctly, modern systems also improve their recognition accuracy and deliver increasingly reliable results in day-to-day operations.
What are the benefits of automatic data recognition?
The automatic capture of invoice data offers numerous advantages:
- significantly less manual data entry
- lower risk of transmission errors
- Faster invoice processing
- Consistent data quality
- the ideal foundation for digital approval processes
This allows employees to devote more time to professional audits and value-added tasks instead of manually entering invoice data.
Conclusion
Automatic invoice data recognition is one of the most important components of digital invoice management. Modern systems automatically extract relevant information and make it available for downstream processes. This reduces manual data entry, shortens processing times, and improves data quality.
As an ELO Business Partner, IT Titans helps companies seamlessly integrate ELO's automated invoice recognition into their existing business processes. This lays the foundation for an efficient and largely automated invoice workflow.
