Receipt and Document Capturing: Features Overview
Feature | Description |
---|---|
Increase automation without effort |
The BLU DELTA team takes care of the regular improvement of detection rates (also based on your feedback) without your involvement. |
Plug & Play capturing |
API can be used and also integrated immediately after receiving an access key (free of charge for a certain time and quota). No configuration necessary. |
Shared Intelligence |
Using invoice samples from all companies, an intelligence is trained and shared with the companies in turn. |
Scaling |
From SME to Corporate. |
BLU DELTA AI features |
All common header, footer and position data are supported. A total of 40 features. |
Country-specific features |
|
Supported countries |
Your desired country is not listed? Our portfolio is constantly expanding. |
Table recognition |
Recognition of items and data extraction, such as item ID, descriptions, quantity, prices, order or shipment numbers |
Address recognition |
Names and addresses in a document |
Sales receipts |
Sales receipts are also processed |
Industry characteristics |
|
Custom feature |
For features that are not supported off the shelf, any feature can be added. |
Plain Text |
Document text without semantic information can optionally be supplied. |
Searchable PDF |
PDF files are enriched with document texts and thus prepared for a full-text search. |
PDF markers |
An additional PDF with colour markers of the identified information is optionally generated. Markers can be configured in terms of colour and shape. |
Smart Pattern |
Temporarily and in urgent and/or important cases, a conventional Smart Pattern can also be created for the capturing. |
Comparison with master or reference data |
There is a generic interface for uploading reference data. This allows the system to perform intelligent matching (based on fuzzy criteria – e.g. if only parts of an address are available). |
Deployment |
OnPremise and Cloud available |
Free quick test |
|
Free API trial |
|
Validation interface |
A web interface for efficient validation of invoices/documents with search, traffic light system and correction aids and optional access to reference data. |
Technology |
Deep Learning, Natural Language Processing, Machine Learning |
Performance |
Median: approx. 3 seconds per document (Cloud), OnPremise can be faster. |
Supports shadow accounting |
The result of the quality assessment of the recognition result over several attributes of an entire invoice (BETA). Corresponds to the statement whether a manual review is necessary. |
Development and integration |
Generic JSON REST APIs and reference clients available in C#, Java and Powershell |
Overview Standard Features (V1.18)
Supported Document-Header | |
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Document Type |
Invoice Recipient Name |
Currency |
Invoice Recipient VAT ID |
Invoice Number |
Invoice Recipient Address |
Invoice Date |
Tax Number (DE) |
Order Number |
Gross Total Amount |
Order Date |
Payment Terms |
Job Number |
VATs |
Order Date |
VAT Rate |
Delivery Number |
VAT Amount |
Delivery Date |
Net Amount |
Customer Number |
Delivery Timeframe |
IBAN + BIC |
VAT exemption |
Account Number + Sort Code |
Cost Center |
Invoice Sender Name |
All addresses |
Invoice Sender VAT ID |
|
Invoice Sender Address |
Line Items | |
---|---|
PositionNumber |
ItemId |
Description |
Quantity |
UnitPrice |
Unit |
OrderId |
DeliveryId |
DeliveryDate |
TotalAmount |
Your desired feature is not included? With almost every release, the list of supported features also expands.
We would also be happy to provide you with information on the roadmap or expand our list with special features just for you.