Found 38 results for "recognition"

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Gitana / 3.2 / Guide / Guide / Optical Character Recognition

Optical Character Recognition This section describes features that are coming in 4.0 With Optical Character Recognition (OCR), any binary content that you place into Cloud CMS will automatically be processed to analyze and detect characters, words and meaning. This allows you to put content into Cloud CMS that includes scanned documents with printed or handwritten elements, such as forms filled out by customers or clients or archived documents that your organization seeks to digitize. For exampl

Score: 78.208885

Gitana / 4.0 / Data Engine / Services / Optical Character Recognition

Optical Character Recognition This section describes features that are coming in 4.0 With Optical Character Recognition (OCR), any binary content that you place into Cloud CMS will automatically be processed to analyze and detect characters, words and meaning. This allows you to put content into Cloud CMS that includes scanned documents with printed or handwritten elements, such as forms filled out by customers or clients or archived documents that your organization seeks to digitize. For exampl

Score: 78.208885

Gitana / 3.2 / Guide / Guide / Recognition

Recognition This section describes features that are coming in 4.0 With Recognition in place, a content instance will automatically have its default binary attachment processed through recognition services to detect and discover meaning contained in the underlying image. The recognition process will detect the following kinds of elements: Faces Celebrities Labels Text Moderation Labels (bad language, adult content) Any binary content that you place into Cloud CMS will automatically be processed

Score: 74.0681

Gitana / 4.0 / Data Engine / Services / Recognition

Recognition This section describes features that are coming in 4.0 With Recognition in place, a content instance will automatically have its default binary attachment processed through recognition services to detect and discover meaning contained in the underlying image. The recognition process will detect the following kinds of elements: Faces Celebrities Labels Text Moderation Labels (bad language, adult content) Any binary content that you place into Cloud CMS will automatically be processed

Score: 74.0681

Gitana / 4.0 / Data Engine / Aspects / Auto Recognize

Auto Recognize This section describes features that are coming in 4.0 QName: f:auto-recognize With this feature in place, a content instance will automatically have its default binary attachment processed through recognition services to detect and discover meaning contained in the underlying image. The recognition process will detect the following kinds of elements: Faces Celebrities Labels Text Moderation Labels (bad language, adult content) To use this service, you will first need to set up a

Score: 59.473526

Gitana / 4.0 / Data Engine / Aspects / Auto OCR Extract

Auto OCR Extract This section describes features that are coming in 4.0 QName: f:auto-ocr-extract With this feature in place, a content instance will automatically have its default binary attachment analyzed using an Optical Character Recognition (OCR) service. The extracted analysis and text will then be applied back onto the node, allowing it to benefit from automatic full-text search indexing and other tooling. To use this service, you will first need to set up an OCR Extraction Service. The

Score: 58.704254

Gitana / 4.0 / Data Engine / Aspects / Auto Analyze Text

Auto Analyze Text This section describes features that are coming in 4.0 QName: f:auto-analyze-text With this feature in place, a content instance will automatically have its default binary attachment analyzed using a Text Analyzer service. The extracted analysis and text will then be applied back onto the node, allowing it to benefit from automatic full-text search indexing and other tooling. To use this service, you will first need to set up a Text Analysis Service. The service can either be c

Score: 49.820606

Gitana / 3.2 / Guide / Guide / Recognition / Recognition Providers

Recognition Providers AWS Rekognition

Score: 41.978325

Gitana / 4.0 / Data Engine / Services / Recognition / Recognition Providers

Recognition Providers AWS Rekognition

Score: 41.978325

Gitana / 3.2 / Guide / Guide / Features / Auto Recognize

Auto Recognize This section describes features that are coming in 4.0 QName: f:auto-recognize With this feature in place, a content instance will automatically have its default binary attachment processed through recognition services to detect and discover meaning contained in the underlying image. The recognition process will detect the following kinds of elements: Faces Celebrities Labels Text Moderation Labels (bad language, adult content) To use this service, you will first need to set up a

Score: 22.385288

Gitana / 3.2 / Guide / Guide / Features / Auto OCR Extract

Auto OCR Extract This section describes features that are coming in 4.0 QName: f:auto-ocr-extract With this feature in place, a content instance will automatically have its default binary attachment analyzed using an Optical Character Recognition (OCR) service. The extracted analysis and text will then be applied back onto the node, allowing it to benefit from automatic full-text search indexing and other tooling. To use this service, you will first need to set up an OCR Extraction Service. The

Score: 20.815935

Gitana / 3.2 / Guide / Guide / Optical Character Recognition / OCR Providers / AWS Textract

AWS Textract Handles the Optical Character Recognition detection and analysis of characters in a binary payload using the Amazon Web Services Textract Service. The AWS Textract Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Textract within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the gi

Score: 19.47767

Gitana / 4.0 / Data Engine / Services / Optical Character Recognition / OCR Providers / AWS Textract

AWS Textract Handles the Optical Character Recognition detection and analysis of characters in a binary payload using the Amazon Web Services Textract Service. The AWS Textract Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Textract within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the gi

Score: 19.47767

Gitana / 3.2 / Guide / Guide / Recognition / Recognition Providers / AWS Rekognition

AWS Rekognition Handles the Image Recognition detection and analysis of elements in a binary payload using the Amazon Web Service Rekognition Service. The AWS Rekognition Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Rekognition within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the given

Score: 14.47254

Gitana / 4.0 / Data Engine / Services / Recognition / Recognition Providers / AWS Rekognition

AWS Rekognition Handles the Image Recognition detection and analysis of elements in a binary payload using the Amazon Web Service Rekognition Service. The AWS Rekognition Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Rekognition within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the given

Score: 14.47254

Gitana / 3.2 / Guide / Guide / Optical Character Recognition / OCR Providers

OCR Providers AWS Textract

Score: 12.238377

Gitana / 4.0 / Data Engine / Services / Optical Character Recognition / OCR Providers

OCR Providers AWS Textract

Score: 12.238377

Gitana / 3.2 / Guide / Guide / Features / Auto Analyze Text

Auto Analyze Text This section describes features that are coming in 4.0 QName: f:auto-analyze-text With this feature in place, a content instance will automatically have its default binary attachment analyzed using a Text Analyzer service. The extracted analysis and text will then be applied back onto the node, allowing it to benefit from automatic full-text search indexing and other tooling. To use this service, you will first need to set up a Text Analysis Service. The service can either be c

Score: 11.932285

Gitana / 4.0 / Data Engine / Services / Overview

_page Narration Optical Character Recognition Recognition Text Analysis Transcription

Score: 10.213905

Gitana / 3.2 / Guide / Guide / Overview

_page Access Policies Actions Antivirus Scanning API API Keys Applications Application Server Attachments Auditing Authentication Binary Files Branches Bulk Import Command Line Conditions Content Modeling Cookbooks Deployment Docker Features Find Forms General GraphQL Integrations Multifactor Authentication Modules Narration Optical Character Recognition Platform Policies Projects Publishing Query Recognition Releases Reports Rules Scripting Search Security Single Sign On (SSO) Supported Stacks

Score: 9.653727

Automation and AI Services - Gitana

Automation and AI Services - Gitana Status Releases Registry Blog Cloud CMS Platform Content Management Create, Approve and Publish quality content to production on-time. Easy editorial and workflow tools let your best work reach your customers. Enterprise Data Engine Manage, collaborate, search and distribute your highly-structured data across branches, versions and workflow-driven lifecycle. Automate Automate your content creation and approval flows while taking advantage of AI services to enh

Score: 8.538739

Gitana / 3.2 / Guide / Guide / Integrations / IBM Watson

IBM Watson Cloud CMS provides out-of-the-box integration with IBM Watson and selected services. We will be adding more Watson services in the near term roadmap. Watson offers a variety of interesting services including text translation, image recognition, tonal analysis and semantic content reasoning. You can learn more about these services here: Translate

Score: 8.379152

Gitana / 4.0 / Data Engine / Integrations / IBM Watson

IBM Watson Cloud CMS provides out-of-the-box integration with IBM Watson and selected services. We will be adding more Watson services in the near term roadmap. Watson offers a variety of interesting services including text translation, image recognition, tonal analysis and semantic content reasoning. You can learn more about these services here: Translate

Score: 8.379152

Gitana / 3.2 / Guide / Guide / Integrations / Amazon Web Services

Amazon Web Services Cloud CMS provides out-of-the-box integration with a variety of Amazon Web Service offerings, including services for natural language processing, machine learning, semantic analysis and image recognition. You can learn more about these services here: Amazon Comprehend Amazon DocumentDB Amazon Elastic Search Service Amazon Elastic Transcoder Amazon Polly Amazon SNS Amazon SQS Amazon Transcribe Amazon Translate

Score: 8.283558

Gitana / 3.2 / Guide / Guide / Integrations / Azure

Azure Cloud CMS provides out-of-the-box integration with Azure Active Directory and will also be adding more Azure services in its near term roadmap. Azure offers a variety of interesting services that Cloud CMS seeks to take advantage of including services for text translation, natural language processing, classification and image recognition. You can learn more about these services here: Active Directory Blob Storage Translate

Score: 8.283558