Found 144 results for "recognition providers"

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

Recognition Providers AWS Rekognition

Score: 64.57929

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

Recognition Providers AWS Rekognition

Score: 64.57929

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: 25.866503

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: 25.866503

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: 21.653389

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: 21.653389

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: 16.84982

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: 16.49646

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: 13.587439

Gitana / 3.2 / Guide / Guide / Application Server / Authentication / Providers

Providers CAS Custom Facebook GitHub Google Keycloak LinkedIn Local SAML 2.0 Twitter

Score: 12.476375

Gitana / 4.0 / Developers / Application Server / Authentication / Providers

Providers CAS Custom Facebook GitHub Google Keycloak LinkedIn Local SAML 2.0 Twitter

Score: 12.476375

Gitana / 3.2 / Guide / Guide / Multifactor Authentication / Providers

Providers Twilio Authy Duo Security

Score: 11.261791

Gitana / 4.0 / Data Engine / Authentication / Multifactor Authentication / Providers

Providers Twilio Authy Duo Security

Score: 11.261791

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

OCR Providers AWS Textract

Score: 10.511449

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

OCR Providers AWS Textract

Score: 10.511449

Gitana / 3.2 / Guide / Guide / Narration / Narration Providers

Narration Providers AWS Polly

Score: 9.902234

Gitana / 3.2 / Guide / Guide / Transcription / Transcription Providers

Transcription Providers AWS Transcribe

Score: 9.902234

Gitana / 4.0 / Data Engine / Services / Narration / Narration Providers

Narration Providers AWS Polly

Score: 9.902234

Gitana / 4.0 / Data Engine / Services / Transcription / Transcription Providers

Transcription Providers AWS Transcribe

Score: 9.902234

Gitana / 3.2 / Guide / Guide / Text Analysis / Text Analysis Providers

Text Analysis Providers AWS Comprehend

Score: 8.19198

Gitana / 4.0 / Data Engine / Services / Text Analysis / Text Analysis Providers

Text Analysis Providers AWS Comprehend

Score: 8.19198

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: 7.440368

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: 6.886451

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: 6.4894457

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: 6.4894457