Invoices Digitization & Automation

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Invoices Digitization & Automation

The product Invoices Digitization & Automation is powered by Deep Learning techniques to capture the key information available in Invoices. Data in Invoices will be extracted and produced in any desirable format - CSV, XML or JSON.

Why EazyInvoice?

Helps in extracting structured data from invoices so that the Invoices can be automatically processed.
Reduces the error prone, time consuming manual effort to capture information from an Invoice.
Extracts information on all B2B and B2C type invoices that are available in both Indian and US formats.
No need for defining the ROI when new formats are encountered, the product is built to automatically understand and capture information with a technology that mimics the Human Brain.
Simple and Easy deployment with SDKs and APIs.

How does Invoices Digitization & Automation work?

Invoices Digitization & Automation software captures information using advanced technologies from the field of Artificial Intelligence.

Process Outline

The software takes a scanned image as input and performs custom built preprocessing steps to clear noise in image and make the sample suitable for information extraction. Then the system identifies the key-value pairs from the images, such as invoice date, company name, product description, quantity, unit cost, cost of line item, tax amount and total amount etc and various important key fields. Information captured in such a manner is then validated and corrected to ensure high levels of accuracy.

Output Format

The information is captured as key value pairs for easy integration with a customer’s business process. The extracted information can be customized to customer requirements such as CSV, XML or JSON format.

Learning Ability

Invoices Digitization & Automation works much like a human reading an invoice, it uses cognitive skills to detect patterns, structures and candidate regions for information capturing. It defines the ROI based on the features it has learnt during past experiences.

Confidence against the captured information

The detection is further strengthened by giving a confidence score against each pair of information captured. The confidence score is a measure of how much the captured value is associated with the given key name.

Manual Intervention

Invoices Digitization & Automation performs correction and validation of data captured, using custom built algorithms. If there is any ambiguity in validation of information, Invoices Digitization & Automation automatically prompts the user to validate the information captured and review the data, add or change. This feedback from Human intervention helps Invoices Digitization & Automation to learn and become more accurate terms of information extraction.

Most Salient Benefits are

How do we achieve near-100% accuracy?

Multiple algorithms for region-of-interest detection

In SnapChek, there are multiple algorithms working simultaneously on region-of-interest identification, ensuring 100% detection.

Adaptive field-of-view

Before extraction, Invoices Digitization & Automation accommodates inconsistencies in data placement, such as printed matter being slightly outside the box or line.

De-noising

De-noising systems from simple Otsu methods to deep learning-based segmentation algorithms improve SnapChek’s extraction quality.

Dual algorithmic journeys for building quorum

It builds quorum using two algorithms for every field. Each algorithm has different deep learning bases and maths for feature extraction methods, number of layers, loss functions etc.