Smart Invoice constitutes a unique combination of algorithms for image processing, machine learning, and semantic technologies in a web app dedicated to small and medium-sized enterprises as well as accounting departments.
The application solves the problem of losing, not delivering, and incorrectly entering financial documents into accounting systems.
Documents extremely important for the proper functioning of any company, due to the financial and legal requirements of settlement systems imposed by tax offices around the world.
“The application solves the problem of losing, not delivering, and incorrectly entering financial documents into accounting systems.”
Do you run your own accounting office or you are responsible for the circulation of accounting documents in the company you work at? We know how responsible this task is and how much depends on it, which is why we decided to create a platform that will make this type of task easier for you!
Smart Invoice is an application that solves the problem of losing, delivering, and entering documents into accounting systems in an enterprise, related to their correct and timely settlement.
Smart Invoice is a unique combination of algorithms for image processing, machine learning, and semantic technologies in a web app for small and medium-sized enterprises as well as accounting departments.
This application solves problems such as: losing, delivering and entering documents into accounting systems and associating them with correct and timely settlement.
Using the “Smart Invoice” System allows to save the time of users (entrepreneurs + accountants) in comparison to the traditional manner of transferring invoices and entering data from invoices into an accounting system.
System universality – the possibility to implement the “Smart Invoice” solution for accounting programs.
Fewer errors thanks to taking advantage of machine learning for recognizing specific elements of invoices. The human factor is limited, thus the number of human errors will be reduced. Additionally, ML algorithms taking advantage of OCR solutions are more effective than the sole OCR solution.
Efficient invoice digitization and effective company protection against the loss of important data (e.g. loss of invoices).
Save time
Everyone knows how long it takes to enter documents
Online access
Loguj się do naszego systemu z każdego miejsca i sprawdzaj aktualny stan dokumentów Log in to our system from anywhere and check the current status of documents
Control
Grant access to the right people in your company
Analysis
Check if all invoices have already been sent
- time savings for users (entrepreneurs and accountants) - as compared to the traditional method of transferring invoices and entering data from invoices into the accounting system;
- system versatility - the possibility to implement the Smart Invoice solution for accounting programmes;
- fewer errors thanks to the use of machine learning to recognize individual elements of invoices - the human factor is reduced, thus the number of human errors will be reduced. Additionally, ML algorithms using OCR solutions are more effective than the sole OCR solution;
- efficient invoice digitization and effective company protection against the loss of important data, such as loss of invoices.
Smart Invoice will not only function as an invoice scanning application, but will act as a platform that develops automatically over time!
Thus, as the number of scanned documents and entered data increases, the invoice model will evolve.
During the research and development works of the Team, a detailed analysis was carried out, on the basis of which the types of entities that make up the invoice data were determined and a coherent hierarchical model has been developed, semantically describing the data appearing on the invoice.
Each research conclusion, division into categories, determination of the type of entity, important data parameter or category, and the proposal of a qualitative measure or task has been used by the technical team to build the system model: e.g. developing a database or parameters that are needed to be used in subsequent stages to build machine learning algorithms.