2023:Tabular Layout (Table Extract Method) - Revision history

Dgreenwood at 15:58, 2 September 2025

2025-09-02T15:58:08Z

Randallkinard at 15:44, 22 November 2024

2024-11-22T15:44:02Z

← Older revision		Revision as of 10:44, 22 November 2024
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	[[File:2023_TabularLayout_025_Footer-Detection_Capture-Footer-Row-vs-Generate-Footer-Row_05.png]]		[[File:2023_TabularLayout_025_Footer-Detection_Capture-Footer-Row-vs-Generate-Footer-Row_05.png]]

	~~== Glossary ==~~
	~~<u><big>'''Batch'''</big></u>: {{#lst:Glossary\|Batch}}~~

	~~<u><big>'''Behavior'''</big></u>: {{#lst:Glossary\|Behavior}}~~

	~~<u><big>'''Classification'''</big></u>: {{#lst:Glossary\|Classification}}~~

	~~<u><big>'''Content Model'''</big></u>: {{#lst:Glossary\|Content Model}}~~

	~~<u><big>'''Correct'''</big></u>: {{#lst:Glossary\|Correct}}~~

	~~<u><big>'''Data Column'''</big></u>: {{#lst:Glossary\|Data Column}}~~

	~~<u><big>'''Data Element'''</big></u>: {{#lst:Glossary\|Data Element}}~~

	~~<u><big>'''Data Model'''</big></u>: {{#lst:Glossary\|Data Model}}~~

	~~<u><big>'''Data Table'''</big></u>: {{#lst:Glossary\|Data Table}}~~

	~~<u><big>'''Data Type'''</big></u>: {{#lst:Glossary\|Data Type}}~~

	~~<u><big>'''Document Type'''</big></u>: {{#lst:Glossary\|Document Type}}~~

	~~<u><big>'''Extract'''</big></u>: {{#lst:Glossary\|Extract}}~~

	~~<u><big>'''Extractor Type'''</big></u>: {{#lst:Glossary\|Extractor Type}}~~

	~~<u><big>'''Fuzzy RegEx'''</big></u>: {{#lst:Glossary\|Fuzzy RegEx}}~~

	~~<u><big>'''IP Command'''</big></u>: {{#lst:Glossary\|IP Command}}~~

	~~<u><big>'''Labeling Behavior'''</big></u>: {{#lst:Glossary\|Labeling Behavior}}~~

	~~<u><big>'''Labelset-Based'''</big></u>: {{#lst:Glossary\|Labelset-Based}}~~

	~~<u><big>'''Line Removal'''</big></u>: {{#lst:Glossary\|Line Removal}}~~

	~~<u><big>'''List Match'''</big></u>: {{#lst:Glossary\|List Match}}~~

	~~<u><big>'''Node Tree'''</big></u>: {{#lst:Glossary\|Node Tree}}~~

	~~<u><big>'''OCR'''</big></u>: {{#lst:Glossary\|OCR}}~~

	~~<u><big>'''Ordered Array'''</big></u>: {{#lst:Glossary\|Ordered Array}}~~

	~~<u><big>'''Overrides'''</big></u>: {{#lst:Glossary\|Overrides}}~~

	~~<u><big>'''Pattern Match'''</big></u>: {{#lst:Glossary\|Pattern Match}}~~

	~~<u><big>'''Project'''</big></u>: {{#lst:Glossary\|Project}}~~

	~~<u><big>'''Reference'''</big></u>: {{#lst:Glossary\|Reference}}~~

	~~<u><big>'''Table Extract Method'''</big></u>: {{#lst:Glossary\|Table Extract Method}}~~

	~~<u><big>'''Table Extraction'''</big></u>: {{#lst:Glossary\|Table Extraction}}~~

	~~<u><big>'''Tabular Layout'''</big></u>: {{#lst:Glossary\|Tabular Layout}}~~

	~~<u><big>'''Value Reader'''</big></u>: {{#lst:Glossary\|Value Reader}}~~

	~~<u><big>'''Vertical Wrap'''</big></u>: {{#lst:Glossary\|Vertical Wrap}}~~

Randallkinard at 15:34, 27 August 2024

2024-08-27T15:34:43Z

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Randallkinard at 18:21, 10 May 2024

2024-05-10T18:21:34Z

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 * [[Media:2023_Wiki_Tabular-Layout_Batches.zip]]
 |}
 == About ==

Randallkinard at 18:21, 29 April 2024

2024-04-29T18:21:26Z

← Older revision		Revision as of 13:21, 29 April 2024
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	{{AutoVersion}}		{{AutoVersion}}
	~~<section begin="glossary" />~~
	<blockquote>		<blockquote>{{#lst:Glossary\|Tabular Layout}}</blockquote>
	~~'''''~~Tabular Layout''''' is one of '''Grooper's''' methods of extracting table data from documents available to '''Data Table''' objects (via its '''''Extract Method''''' property). This method uses column header values determined by the '''Data Columns''''' '''''Header Extractor''''' results (or labels collected for the '''Data Columns''' when a '''''Labeling Behavior''''' is enabled) as well as '''Data Column''' '''''Value Extractor''''' results to model a table's structure and return its values.
	</blockquote>
	~~<section end="glossary" />~~
	The '''''Tabular Layout''''' is "Label Set aware". You can configure '''''Tabular Layout''''' with or without labels. This article will detail both methods. For more information on Label Sets, please visit the full [[Label Sets]] article.		The '''''Tabular Layout''''' is "Label Set aware". You can configure '''''Tabular Layout''''' with or without labels. This article will detail both methods. For more information on Label Sets, please visit the full [[Label Sets]] article.

Randallkinard: Randallkinard moved page 2023:Tabular Layout (Table Extraction Method) to 2023:Tabular Layout (Table Extract Method) without leaving a redirect: new naming convention

2024-04-18T16:40:50Z

Randallkinard moved page 2023:Tabular Layout (Table Extraction Method) to 2023:Tabular Layout (Table Extract Method) without leaving a redirect: new naming convention

← Older revision	Revision as of 11:40, 18 April 2024
(No difference)

Dgreenwood: /* About */

2024-04-04T16:38:45Z

About

← Older revision		Revision as of 11:38, 4 April 2024
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	<section end="glossary" />		<section end="glossary" />
	The '''''Tabular Layout''''' is "Label Set aware". You can configure '''''Tabular Layout''''' with or without labels. This article will detail both methods. For more information on Label Sets, please visit the full [[Label Sets]] article.		The '''''Tabular Layout''''' is "Label Set aware". You can configure '''''Tabular Layout''''' with or without labels. This article will detail both methods. For more information on Label Sets, please visit the full [[Label Sets]] article.

	~~== About ==~~

	{\|class="download-box"		{\|class="download-box"
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	* [[Media:2023_Wiki_Tabular-Layout_Batches.zip]]		* [[Media:2023_Wiki_Tabular-Layout_Batches.zip]]
	\|}		\|}
			== About ==

	Many tables label the columns so the reader knows what the data in that column corresponds to. How do you know the unit price for an item on an invoice? Typically, that item is in a table and one of the columns of that table is labeled "Unit Price" or something similar. Once you read the labels for each column (also called "column headers"), you the reader know where the table begins (below the column headers) and can identify the data in each row (by understanding what the column headers refer to).		Many tables label the columns so the reader knows what the data in that column corresponds to. How do you know the unit price for an item on an invoice? Typically, that item is in a table and one of the columns of that table is labeled "Unit Price" or something similar. Once you read the labels for each column (also called "column headers"), you the reader know where the table begins (below the column headers) and can identify the data in each row (by understanding what the column headers refer to).

Randallkinard: adjusted headers for "5. Alternative Configuration: Header Row Extractor" // via Wikitext Extension for VSCode

2024-03-11T22:12:38Z

adjusted headers for "5. Alternative Configuration: Header Row Extractor" // via Wikitext Extension for VSCode

← Older revision		Revision as of 17:12, 11 March 2024
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	[[File:2021-tabular-layout-without-label-sets-17.png]]		[[File:2021-tabular-layout-without-label-sets-17.png]]

	==== 5. Alternative Configuration: Header Row Extractor ====		==== 5. Alternative Configuration: Header Row Extractor ====

	You may alternatively establish column headers for the ''entire'' row of header labels, using the '''''Header Row Extractor''''' property. Instead of configuring each '''Data Column's''' '''''Header Extractor''''', you would configure an extractor to return the whole table's row of column headers and use named instances (either Named Groups or child extractors) to establish each '''Data Column's''' header.		You may alternatively establish column headers for the ''entire'' row of header labels, using the '''''Header Row Extractor''''' property. Instead of configuring each '''Data Column's''' '''''Header Extractor''''', you would configure an extractor to return the whole table's row of column headers and use named instances (either Named Groups or child extractors) to establish each '''Data Column's''' header.
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	* Named Child Extractors		* Named Child Extractors

	===== Assign Named Instances: Using Named Groups =====		====== Assign Named Instances: Using Named Groups ======

	When pattern matching a header row, you can do this with Named Groups.		When pattern matching a header row, you can do this with Named Groups.
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	[[File:2023_TabularLayout_005_Alternative-Configuration---Header-Row-Extractor_03.png]]		[[File:2023_TabularLayout_005_Alternative-Configuration---Header-Row-Extractor_03.png]]

	===== Assign Named Instances: Using Named Child Extractors =====		====== Assign Named Instances: Using Named Child Extractors ======
	You may also create and use the named instances by naming a '''Data Type's''' child extractors to match the names of your '''Data Columns'''.		You may also create and use the named instances by naming a '''Data Type's''' child extractors to match the names of your '''Data Columns'''.

Randallkinard: removed tabs and tables // via Wikitext Extension for VSCode

2024-03-11T21:21:06Z

removed tabs and tables // via Wikitext Extension for VSCode

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Randallkinard: fixed ZIP files // via Wikitext Extension for VSCode

2024-03-08T22:12:01Z

fixed ZIP files // via Wikitext Extension for VSCode

Show changes

← Older revision		Revision as of 10:44, 22 November 2024
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	[[File:2023_TabularLayout_025_Footer-Detection_Capture-Footer-Row-vs-Generate-Footer-Row_05.png]]		[[File:2023_TabularLayout_025_Footer-Detection_Capture-Footer-Row-vs-Generate-Footer-Row_05.png]]

	~~== Glossary ==~~
	~~<u><big>'''Batch'''</big></u>: {{#lst:Glossary\|Batch}}~~

	~~<u><big>'''Behavior'''</big></u>: {{#lst:Glossary\|Behavior}}~~

	~~<u><big>'''Classification'''</big></u>: {{#lst:Glossary\|Classification}}~~

	~~<u><big>'''Content Model'''</big></u>: {{#lst:Glossary\|Content Model}}~~

	~~<u><big>'''Correct'''</big></u>: {{#lst:Glossary\|Correct}}~~

	~~<u><big>'''Data Column'''</big></u>: {{#lst:Glossary\|Data Column}}~~

	~~<u><big>'''Data Element'''</big></u>: {{#lst:Glossary\|Data Element}}~~

	~~<u><big>'''Data Model'''</big></u>: {{#lst:Glossary\|Data Model}}~~

	~~<u><big>'''Data Table'''</big></u>: {{#lst:Glossary\|Data Table}}~~

	~~<u><big>'''Data Type'''</big></u>: {{#lst:Glossary\|Data Type}}~~

	~~<u><big>'''Document Type'''</big></u>: {{#lst:Glossary\|Document Type}}~~

	~~<u><big>'''Extract'''</big></u>: {{#lst:Glossary\|Extract}}~~

	~~<u><big>'''Extractor Type'''</big></u>: {{#lst:Glossary\|Extractor Type}}~~

	~~<u><big>'''Fuzzy RegEx'''</big></u>: {{#lst:Glossary\|Fuzzy RegEx}}~~

	~~<u><big>'''IP Command'''</big></u>: {{#lst:Glossary\|IP Command}}~~

	~~<u><big>'''Labeling Behavior'''</big></u>: {{#lst:Glossary\|Labeling Behavior}}~~

	~~<u><big>'''Labelset-Based'''</big></u>: {{#lst:Glossary\|Labelset-Based}}~~

	~~<u><big>'''Line Removal'''</big></u>: {{#lst:Glossary\|Line Removal}}~~

	~~<u><big>'''List Match'''</big></u>: {{#lst:Glossary\|List Match}}~~

	~~<u><big>'''Node Tree'''</big></u>: {{#lst:Glossary\|Node Tree}}~~

	~~<u><big>'''OCR'''</big></u>: {{#lst:Glossary\|OCR}}~~

	~~<u><big>'''Ordered Array'''</big></u>: {{#lst:Glossary\|Ordered Array}}~~

	~~<u><big>'''Overrides'''</big></u>: {{#lst:Glossary\|Overrides}}~~

	~~<u><big>'''Pattern Match'''</big></u>: {{#lst:Glossary\|Pattern Match}}~~

	~~<u><big>'''Project'''</big></u>: {{#lst:Glossary\|Project}}~~

	~~<u><big>'''Reference'''</big></u>: {{#lst:Glossary\|Reference}}~~

	~~<u><big>'''Table Extract Method'''</big></u>: {{#lst:Glossary\|Table Extract Method}}~~

	~~<u><big>'''Table Extraction'''</big></u>: {{#lst:Glossary\|Table Extraction}}~~

	~~<u><big>'''Tabular Layout'''</big></u>: {{#lst:Glossary\|Tabular Layout}}~~

	~~<u><big>'''Value Reader'''</big></u>: {{#lst:Glossary\|Value Reader}}~~

	~~<u><big>'''Vertical Wrap'''</big></u>: {{#lst:Glossary\|Vertical Wrap}}~~

← Older revision		Revision as of 10:58, 2 September 2025
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	# Select the '''''Header Extractor''''' property.		# Select the '''''Header Extractor''''' property.
	#* Here you will set an extractor to locate the column header on the document for the selected '''Data Column'''.		#* Here you will set an extractor to locate the column header on the document for the selected '''Data Column'''.
	# Using the dropdown selector, select the ~~'''''~~Extractor ~~Type'''''~~ you wish to configure to return the column header.		# Using the dropdown selector, select the extractor (Extractor Node or Value Extractor) you wish to configure to return the column header.
	#* You can use whatever ~~'''''Extractor Type'''''~~ you want to get the job done. You may select ''Reference'' to reference a '''Data Type''' or '''Value Reader''' extractor ~~object~~ you've configured already. Or, you can select one of ~~the other '''''Extractor Types''''~~' to configure extraction locally.		#* You can use whatever extractor you want to get the job done. You may select ''Reference'' to reference a '''Data Type''' or '''Value Reader''' extractor node you've configured already. Or, you can select one of Grooper's Value Extractors to configure extraction locally.
	#* We're going to select ''List Match''.		#* We're going to select ''List Match''.

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	You would then continue adding variations to the list until all variations of the "Quantity" column's header labels are extracted for every variation of the table.		You would then continue adding variations to the list until all variations of the "Quantity" column's header labels are extracted for every variation of the table.
	* Or more generally, until a result for the column header is extracted using whatever ~~'''''Extractor Type'''''~~ you've chosen to configure.		* Or more generally, until a result for the column header is extracted using whatever extractor you've chosen to configure.

	[[File:2023_TabularLayout_002_Configure-Header-Extractors_02.png]]		[[File:2023_TabularLayout_002_Configure-Header-Extractors_02.png]]
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	# We've started creating a '''Value Reader''' to use as a '''''Header Row Extractor''''' for the "Fairdeal" '''Document Type''' in our '''Content Model'''.		# We've started creating a '''Value Reader''' to use as a '''''Header Row Extractor''''' for the "Fairdeal" '''Document Type''' in our '''Content Model'''.
	# We're using a ''Pattern Match'' ~~'''''Extractor Type'''''~~.		# We're using a ''Pattern Match'' extractor.
	#* We can easily match the header row for "Fairdeal" invoices using a simple regex pattern.		#* We can easily match the header row for "Fairdeal" invoices using a simple regex pattern.
	# Your first task will be to extract the ''entire'' row of column headers. The pattern we have here will do just that.		# Your first task will be to extract the ''entire'' row of column headers. The pattern we have here will do just that.
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	# Expand the '''''Tabular Layout''''' sub-properties.		# Expand the '''''Tabular Layout''''' sub-properties.
	# Select the '''''Footer Detection''''' property.		# Select the '''''Footer Detection''''' property.
	# Using the dropdown list, select the ~~'''''~~Extractor ~~Type'''''~~ you wish to use.		# Using the dropdown list, select the extractor (Extractor Node or Value Extractor) you wish to use.
	#* We're going with a '''''List Match''''' extractor for this tutorial.		#* We're going with a '''''List Match''''' extractor for this tutorial.