Data capture, character recognition OCR ICR OMR CHR BCR, image processing, forms data capture, document indexing, automatic data extraction Data capture, character recognition OCR ICR OMR CHR BCR, image processing, forms data capture, document indexing, automatic data extraction

Data capture in the field of invoices and transport document (DDT)

Data capture in the field of invoices and transport document (DDT)

The solution to data extraction from passive invoice and transport document (DDT)

The time reduction of management of fiscal documents is very important to cost savings and to increased productivity, especially when the number of documents to be treated is high. From this need was born Recogniform Invoices, the solution develop made Recogniform Technologies SpA, that allow automatize the data extraction from passive invoice and transport document (DDT) in a simple mode.

The alternative to data entry to save Time and Money

Recogniform Invoice is configure with a solution, modulable, verticalized, customizable and flexible positioning itself as a valid alternative to manual data entry, which can reduce the cost and time of identification and extraction of data from invoices for registration, classification and accounting for the same, with the possibility to integrate into any management or ERP system.

Recogniform Reader: Over the data capture

Recogniform Invoices using the Recogniform Reader platform, the data capture solution of structured and unstructured modules made Recogniform Technologies SpA point of reference in the data capture solutions currently present on the market. The range Recogniform Reader fact offers innovative solutions for the data capture of data from paper documents, suitable for both small users and large enterprises and service centers.

Workflow Tested

With the acquisition module, connected to a common document scanner, you can scan the invoice to processed that will be routed to the recognition station can work in automatic mode, also twenty four hours a day, seven days a week. Using the validation moduleis possible view the invoices when the data result "suspects" so as to confirm or correct. At the end of the process the station output, also working at your own pace, make available to the recognized data validated and corrected as required!

Architecture Desktop or Client/Server

The steps of acquisition, recognition, verify and output can be performed by a single operator on single station (Desktop version) or more operators, on specialized station in asynchronous mode (Workgroup version). In this last case, the application of which it is composed Recogniform Invoices are:

  • Recogniform Control Server
  • Recogniform Input Station
  • Recogniform Recognition Station
  • Recogniform Correction Station
  • Recogniform Output Station

A classic example of configuring software: the number of acquisition station (Input) and validation (Verify) can be defined accordin to needs of the time and resources available. The steps of Recognition and output are performed in batch mode, automatic, 7/24

A classic example of configuring software: the number of acquisition station (Input) and validation (Verify) can be defined accordin to needs of the time and resources available. The steps of Recognition and output are performed in batch mode, automatic, 7/24

The comunication between the stations and the server is based on the standard protocl TCP/IP, thereby allowing the relocation of the application.

Scalability

The configuration can be changed so that there are several work stations of a specific type, according to the specific application requirements and to workloads quotas.

For more information on the data capture in the field of bills and DDT, you can send us an e-mail to informazioni@recogniform.it or fill in the form below.


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Taking note of Information of the policy of personal data (D. Lgs 30 june 2003 n.196 and subsequent amendment and additions), click on the "OK" button i consent to collect, hold, process, communicate, and if appropriate, discontinue the treatment/s of personal data that concern me, for the purposes specified in the policy.