2021:OCR Engine (Property) - Revision history

Dgreenwood at 16:26, 5 August 2025

2025-08-05T16:26:44Z

← Older revision		Revision as of 11:26, 5 August 2025
Line 1:		Line 1:
			__NOINDEX__
	{{AutoVersion}}		{{AutoVersion}}

Dgreenwood: /* Tesseract */

2024-12-17T19:57:47Z

Tesseract

← Older revision		Revision as of 14:57, 17 December 2024
Line 187:		Line 187:
	* By default, supports English only. However, additional languages can be downloaded [https://github.com/tesseract-ocr/tesseract/wiki/Data-Files#data-files-for-version-304305 here]. A ZIP file containing all available languages can be downloaded [https://github.com/tesseract-ocr/tessdata/archive/3.04.00.zip here].		* By default, supports English only. However, additional languages can be downloaded [https://github.com/tesseract-ocr/tesseract/wiki/Data-Files#data-files-for-version-304305 here]. A ZIP file containing all available languages can be downloaded [https://github.com/tesseract-ocr/tessdata/archive/3.04.00.zip here].
	** Downloaded files should be placed in the "{Grooper Install Directory}\Tesseract\tessdata" folder on each machine which will be running OCR.		** Downloaded files should be placed in the "{Grooper Install Directory}\Tesseract\tessdata" folder on each machine which will be running OCR.
	** Note: not all languages that are downloadable are supported by Grooper. E.g. Vertical languages, right-to-left languages, etc. are not supported.		** Note: not all languages that are downloadable are supported by Grooper. E.g. Vertical languages, right-to-left languages, etc. are not supported.
			* Supported image types: JPEG, PNG, BMP, PDF, and TIFF

	=== Azure OCR ===		=== Azure OCR ===

Dgreenwood: /* Transym 5.0 */

2024-12-17T19:57:18Z

Transym 5.0

← Older revision		Revision as of 14:57, 17 December 2024
Line 176:		Line 176:
	* Fully installed with Grooper		* Fully installed with Grooper
	* Supports 38 different languages		* Supports 38 different languages
			* Supported image types: JPEG, PNG, BMP, PDF, and TIFF

	=== Tesseract ===		=== Tesseract ===

Dgreenwood: /* Transym 4.0 */

2024-12-17T19:57:10Z

Transym 4.0

← Older revision		Revision as of 14:57, 17 December 2024
Line 167:		Line 167:
	* Fully installed with Grooper		* Fully installed with Grooper
	* English language only		* English language only
			* Supported image types: JPEG, PNG, BMP, PDF, and TIFF

	=== Transym 5.0 ===		=== Transym 5.0 ===

Dgreenwood at 19:40, 17 December 2024

2024-12-17T19:40:36Z

← Older revision		Revision as of 14:40, 17 December 2024
Line 196:		Line 196:
	** For a quick start guide on obtaining an API key, [[Grooper_and_AI#Azure_OCR_Quickstart\|refer to this article]]		** For a quick start guide on obtaining an API key, [[Grooper_and_AI#Azure_OCR_Quickstart\|refer to this article]]
	* Supports 26 different languages		* Supports 26 different languages
			* Supported image types: JPEG, PNG, BMP, PDF, and TIFF

	=== Layered OCR ===		=== Layered OCR ===

Randallkinard at 15:02, 22 November 2024

2024-11-22T15:02:00Z

← Older revision		Revision as of 10:02, 22 November 2024
Line 202:		Line 202:

	To learn how to layer OCR results and the configuration requirements for Layered OCR, please visit the [[Layered OCR]] article.		To learn how to layer OCR results and the configuration requirements for Layered OCR, please visit the [[Layered OCR]] article.

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

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

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

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

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

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

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

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

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

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

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

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

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

Dgreenwood at 21:32, 4 October 2024

2024-10-04T21:32:05Z

← Older revision		Revision as of 16:32, 4 October 2024
Line 10:		Line 10:
	* '''''Tesseract''''' is Google's open source OCR engine.		* '''''Tesseract''''' is Google's open source OCR engine.
	* '''''Azure OCR''''' uses Microsoft Azure AI Vision to OCR documents (Azure API key required to connect Grooper to Azure AI Vision)		* '''''Azure OCR''''' uses Microsoft Azure AI Vision to OCR documents (Azure API key required to connect Grooper to Azure AI Vision)

			== About CNN based OCR engines (Azure OCR) ==

			Microsoft Azure's READ OCR engine uses a convolutional neural network (CNN) to recognize text form images. This method of recognizing text is entirely different from traditional OCR technology.
			* The scope of this article will focus on '''''traditional''''' OCR engines.
			* For more information on Azure OCR, visit the [[Azure OCR]] article.

	== About traditional OCR engines ==		== About traditional OCR engines ==

Dgreenwood: /* About traditional OCR engines */

2024-10-04T21:29:03Z

About traditional OCR engines

← Older revision		Revision as of 16:29, 4 October 2024
Line 12:		Line 12:

	== About traditional OCR engines ==		== About traditional OCR engines ==
	OCR ~~Engines~~ perform the "heavy lift" of the OCR operation by getting the raw character data off document images. They analyze the pixels on the image and figure out what text characters they match.		OCR engines perform the "heavy lift" of the OCR operation by getting the raw character data off document images. They analyze the pixels on the image and figure out what text characters they match.

	OCR ~~Engines~~ themselves have four phases:		Traditional OCR engines themselves have four phases:

	# Pre-Processing		# Pre-Processing

Dgreenwood: /* Azure OCR */

2024-10-04T21:28:16Z

Azure OCR

← Older revision		Revision as of 16:28, 4 October 2024
Line 183:		Line 183:
	=== Azure OCR ===		=== Azure OCR ===

	Starting in version 2.72, the Microsoft Azure OCR engine is available in Grooper. Azure OCR uses [https://azure.microsoft.com/en-us/products/ai-services/ai-vision Microsoft's Azure AI Vision] to perform printed text ''or'' handwritten character recognition. ~~From our testing of this~~ OCR ~~engine~~, ~~it does particularly well at recognizing handwritten text~~. It does, however, require a subscription key at an additional cost to the user.		Starting in version 2.72, the Microsoft [[Azure OCR]] engine is available in Grooper. Azure OCR uses [https://azure.microsoft.com/en-us/products/ai-services/ai-vision Microsoft's Azure AI Vision] to perform printed text and/or handwritten character recognition. Azure OCR has highly accurate machine print and handwriting recognition, even on poor quality images. It does, however, require a subscription key at an additional cost to the user.

	* Machine print and handwriting recognition		* Machine print and handwriting recognition
	* Requires a Microsoft Computer Vision API key.		* Requires a Microsoft Computer Vision API key.
	** Want to try it out? You can create a free trial Azure account [https://azure.microsoft.com/en-us/free/ here]. There will be some limitations on the number of API calls per month (in other words, number of documents you can process per month) and/or trial period length.		** Want to try it out? You can create a free trial Azure account [https://azure.microsoft.com/en-us/free/ here]. There will be some limitations on the number of API calls per month (in other words, number of documents you can process per month) and/or trial period length.
			** For a quick start guide on obtaining an API key, [[Grooper_and_AI#Azure_OCR_Quickstart\|refer to this article]]
	* Supports 26 different languages		* Supports 26 different languages

Dgreenwood: /* About */

2024-10-04T21:16:19Z

About

← Older revision		Revision as of 16:16, 4 October 2024
Line 11:		Line 11:
	* '''''Azure OCR''''' uses Microsoft Azure AI Vision to OCR documents (Azure API key required to connect Grooper to Azure AI Vision)		* '''''Azure OCR''''' uses Microsoft Azure AI Vision to OCR documents (Azure API key required to connect Grooper to Azure AI Vision)

	== About ==		== About traditional OCR engines ==
	OCR Engines perform the "heavy lift" of the OCR operation by getting the raw character data off document images. They analyze the pixels on the image and figure out what text characters they match.		OCR Engines perform the "heavy lift" of the OCR operation by getting the raw character data off document images. They analyze the pixels on the image and figure out what text characters they match.

← Older revision		Revision as of 10:02, 22 November 2024
Line 202:		Line 202:

	To learn how to layer OCR results and the configuration requirements for Layered OCR, please visit the [[Layered OCR]] article.		To learn how to layer OCR results and the configuration requirements for Layered OCR, please visit the [[Layered OCR]] article.

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

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

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

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

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

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

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

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

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

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

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

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

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