Samples 

Sunday, Oct 22, 2017
SamplesVideos
Features
Multiple hierarchical levels
Single Line Templates
Multiline Templates
Manual Templates
Positional field extraction
Tag based field extraction
Delimited fields extraction
Multiline fields
Multiple usage of a field tag
Composite output fields
Mixed tag-based and positional fields
Multi-column input layout
Using calculated fields
Using field headers to name fields
Multiple templates on the same level
Multi-column input
Output Lookup tables
Multiple output tables
Using script
Industry
Commercial
Education
Financial
Government
Industrial
Insurance
Media
Healthcare
Telecom
Professional
Technology
Distributor
Marketing
Other
Unknown
Agriculture
Document Type
Any
Statements
PO/Invoices
Bills
Payroll Reports
Investment Reports
Medical Forms
Bankruptcy Forms
Legal Forms
Apprasal Forms
Input Format
Text
PDF
Word
Excel
HTML
XML
OFX
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Total Samples (20)
 

TextConverter Tutorial. Step 1 (S-4)

 >    Single Line Templates
 >    Using field headers to name fields
 >    Positional field extraction

This is the first lesson of the TextConverter Tutorial series. It provides a brief overview of the top level user interface elements of Text Converter as well as demonstrates the basic steps required for the majority of data extractions.

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Industry
Commercial
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Type
Payroll Reports
Format
PDF
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TextConverter Tutorial. Step 2 (S-5)

 >    Tag based field extraction
 >    Multiple hierarchical levels
 >    Positional field extraction

In our second lesson we will cover how multi-level input data can be extracted using hierarchical templates as well as a brief overview of creating templates to extract data from tag based fields.  

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Industry
Commercial
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Type
Payroll Reports
Format
PDF
 

SiMX TextConverter 4 vs. Datawatch Modeler 12 (Monarch) - Part 1 (S-60)

 >    Single Line Templates
 >    Using field headers to name fields
 >    Positional field extraction

This article and video compares the SiMX TextConverter 4 and Datawatch Modeler 12 (former Monarch Pro) workflows of configuring a simple, but  typical task of extracting detailed information from a medical report. Overall, TextConverter demonstrates an overwhelming advantage over Modeler in every significant area: efficiency, ease of use and accuracy.

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Industry
Healthcare
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Type
Statements
Format
Text
 

CPA Sample 1 (S-50)

 >    Single Line Templates
 >    Tag based field extraction
 >    Multiple hierarchical levels
 >    Positional field extraction

Data extraction from financial reports, invoices, shipping documents can be setup in minutes, using SiMX TextConverter. The extraction projects can be reused later, and they can be used for your workflow automation. No technical expertise is required, any business professionals can begin using the tool right after a download.

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Industry
Financial
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Type
Payroll Reports
Format
PDF
 

Payroll Report Processing (S-58)

 >    Tag based field extraction
 >    Multiline Templates
 >    Multiple hierarchical levels
 >    Mixed tag-based and positional fields
 >    Positional field extraction

This sample will demonstrate how to apply a combination of different techniques to extract data from a payroll report document with multiple layout features. 

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Industry
Professional
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Type
Payroll Reports
Format
Text
 

Multi-level data extraction (S-59)

 >    Single Line Templates
 >    Tag based field extraction
 >    Multiple hierarchical levels
 >    Multiline fields
 >    Positional field extraction

The subjects covered in this video tutorial include:

1. Hierarchical data extraction

2. Identifying the data location relative to other levels

3. Flat templates

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Industry
Industrial
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Type
Statements
Format
PDF
 

Invoice Processing (S-2)

 >    Multiple hierarchical levels
 >    Multiple usage of a field tag
 >    Composite output fields
 >    Mixed tag-based and positional fields

This sample will show invoice and item level data extraction. The following features will be illustrated in the sample.

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Industry
Financial
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Type
PO/Invoices
Format
PDF
 

Phone Bill processing (S-3)

 >    Composite output fields
 >    Multi-column input layout
 >    Using calculated fields
 >    Using field headers to name fields

This sample illustrates how easily data can be extracted from the information arranged in several columns.

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Industry
Commercial
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Type
Bills
Format
PDF
 

EZPass Statement - usage of the most common features (S-1)

 >    Single Line Templates
 >    Tag based field extraction
 >    Multiple hierarchical levels
 >    Composite output fields
 >    Using calculated fields

This sample demonstrates the usage of the most common TextConverter 4 data extraction and transformation capabilities.

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Industry
Commercial
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Type
Statements
Format
PDF
 

Multiple output tables (S-62)

 >    Tag based field extraction
 >    Multiple usage of a field tag
 >    Using field headers to name fields
 >    Multiline fields
 >    Positional field extraction
 >    Multiple output tables
 >    Using script

This example demonstrates how to generate two linked output tables while processing invoices with two levels of information: invoices and line items. 

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Industry
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Type
PO/Invoices
Format
Text
 

Multi-Line Value Quote Sample (S-33)

 >    Single Line Templates
 >    Multiline fields
 >    Positional field extraction

This sample demonstrates how to configure TextConverter to extract multi-line fields.

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Industry
Commercial
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Type
PO/Invoices
Format
PDF
 

Commercial Invoice Sample (S-35)

 >    Tag based field extraction
 >    Composite output fields

This commercial invoice sample demonstrates how to extract information from the input fields value using regular expressions.

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Industry
Commercial
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Type
PO/Invoices
Format
PDF
 

Tag Based Value Invoice Sample (S-37)

 >    Tag based field extraction

This sample shows how to configure TextConverter for tag-based data extraction.

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Industry
Commercial
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Type
PO/Invoices
Format
PDF
 

Castle Group Management Invoice (S-39)

 >    Single Line Templates
 >    Tag based field extraction
 >    Mixed tag-based and positional fields
 >    Multiline fields
 >    Positional field extraction

Exracting data from invoices without script is easy and fast using positional and tag based fields in Text Convertor. Positional fields allow you to exact data that is located in vertical columns. Tag based fields are great for exracting data where the tag is consistent but the value changes such as the Invoice Number.

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Industry
Commercial
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Type
Format
PDF
 

Single Line Positional Template (S-41)

 >    Single Line Templates
 >    Positional field extraction

This sample helps you work with the most basic of TextConverter conversion situations: a single line positional template.  This uses the EZPass statement.

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Industry
Commercial
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Type
Statements
Format
PDF
 

Tag-based Multi-line Template (S-42)

 >    Tag based field extraction
 >    Multiline fields

This sample will teach you how to use a tag to generate a template from multiple lines.  This uses the EZPass statement.

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Industry
Commercial
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Type
Statements
Format
PDF
 

Composite Output Fields (S-43)

 >    Tag based field extraction
 >    Composite output fields
 >    Multiline fields

This sample well tell you how to create a composite output field. This uses the EZPass statement.

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Industry
Commercial
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Type
Statements
Format
PDF
 

Calculated Field Inputs (S-44)

 >    Single Line Templates
 >    Using calculated fields

This sample will teach you how to use calculated field inputs. This uses the EZPass statement.

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Industry
Commercial
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Type
PO/Invoices
Format
PDF
 

Multicolumn Sample (S-46)

 >    Multiline Templates
 >    Positional field extraction
 >    Multi-column input

This sample shows Text Convertors ability to extract data from multiple columns using multiline template with positional fields' extraction.

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Industry
Financial
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Type
Statements
Format
PDF
 

Address Lookup (S-52)

 >    Single Line Templates
 >    Composite output fields
 >    Positional field extraction
 >    Output Lookup tables

This sample demonstrates how to use lookup table to replace long states' names with the abbriviation.

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Any
Format
Text
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