We cut the cost of invoice processing by 30-50 percent
How? We offer 100% accuracy.
Companies that trust us to reduce their costs
Belgium
Belgium
Germany
Belgium
The Netherlands
Belgium
Belgium
Belgium
Why xtractor™ pays off to our clients
| xtractor™ | xtractor™ catch-all | Electronic Invoicing (P2P EDI, VAN) | AI-OCR | Traditional OCR | ||
|---|---|---|---|---|---|---|
| Best use cases (Other use cases) |
Invoices, Purchase Orders (all types of form-like documents) |
All types of accounts payable documents | Invoices, Purchase orders | All types of accounts payable documents | Invoices | |
| Technology | Proprietary | Proprietary, backed by AI | Electronic Data Interchange | AI-driven character recognition | Optical Character Recognition | |
| Accuracy (?)When the accuracy of data is less than 100%, manual data validation and correction are required. | 100% | 92-98% | 100% | 85-95% | 80-90% | When the accuracy of data is less than 100%, manual data validation and correction are required. |
| Line items accuracy (?)Indicates whether the solution can process invoices with 10,000 line items with 100% accuracy. | Absolute | High | Absolute | Low | Low | Indicates whether the solution can process invoices with 10,000 line items with 100% accuracy. |
| Manual verification needed | No | Yes | No | Yes | Yes | |
| Completely Touchless Document Processing | Yes | No | Yes | No | No | |
| Document types supported | app-generated PDF | PDF, JPG, PNG, TIFF, BMP | predefined data formats (XML, UBL, cXML, ...) | PDF, JPG, PNG, TIFF, BMP | PDF, JPG, PNG, TIFF, BMP | |
| Data dictionary (?)A flexible data dictionary means you can, for example, extract passengers' names from flight ticket invoices. | Flexible | Semi-fixed | Fixed | Semi-fixed | Flexible | A flexible data dictionary means you can, for example, extract passengers' names from flight ticket invoices. |
| Customizability (?)Ability to tailor the solution according to customers' requirements (fields, choices, replacement values…) | Very high | High | Medium | Very low | Medium | Ability to tailor the solution according to customers' requirements (fields, choices, replacement values…) |
| Onboarding a supplier | Easy | Very easy | Difficult | Very easy | Very easy | |
| Deployment: Cloud | Yes | Yes | Yes | Yes | Yes | |
| Deployment: On-premise | Yes | Yes | Yes | No | Yes | |
| Minimum volume per year (?) (on premise/cloud)Recommended volume of processed documents to reach ROI |
10000/1000 | NA/1000 | 10000/1000 | NA/1000 | 20000/10000 | Recommended volume of processed documents to reach ROI |
| Cost of implementation | On-site: Low Cloud: Very low |
On-site: NA Cloud: Very low |
High | Very low | Low | |
| Operating cost (?)Cost of license, manual data validation, maintenance, solution support | Very low | Middle to low | Very low | High | High | Cost of license, manual data validation, maintenance, solution support |
| more stars = better | xtractor™ | xtractor™ catch-all | Electronic Invoicing (P2P EDI, VAN) | AI-OCR | Traditional OCR |
|---|---|---|---|---|---|
| Low Entry Cost | |||||
| Low Running Cost | |||||
| High Accuracy | |||||
| Touchless Document Processing | - | - | - | ||
| Energy Efficiency |
The small gray stars indicate conditional performance. For instance, xtractor™ catch-all offers two-star accuracy on scanned documents because it internally uses AI-OCR. However, it offers high five-star accuracy on app-generated PDFs.
XCENTER DIGITAL was established in 2008 in Prague.
Our journey began with a focus on implementing and supporting OpenText solutions, including the SAP invoice processing solutions. We also adopted xSuite Helix, Kofax KTM, Abby FineReader, ReadSoft Invoices, and other technologies. Our experience with the limitations of the existing offerings led to the development of xtractor™, the perfect tool for capturing data from invoices and other documents.
Our company is led by co-general directors Gabriela Vršková and Petr Wozalik.
See the whole team.
