Found 144 results for "recognition providers"
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Gitana / 3.2 / Guide / Guide / Recognition / Recognition ProvidersRecognition Providers AWS Rekognition
Score: 64.62098
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Gitana / 4.0 / Data Engine / Services / Recognition / Recognition ProvidersRecognition Providers AWS Rekognition
Score: 64.62098
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Gitana / 3.2 / Guide / Guide / RecognitionRecognition 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: 25.893587
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Gitana / 4.0 / Data Engine / Services / RecognitionRecognition 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: 25.893587
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Gitana / 3.2 / Guide / Guide / Optical Character RecognitionOptical 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: 21.676794
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Gitana / 4.0 / Data Engine / Services / Optical Character RecognitionOptical 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: 21.676794
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Gitana / 4.0 / Data Engine / Aspects / Auto RecognizeAuto 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: 16.866192
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Gitana / 4.0 / Data Engine / Aspects / Auto OCR ExtractAuto 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: 16.514067
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Gitana / 4.0 / Data Engine / Aspects / Auto Analyze TextAuto 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: 13.601454
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Gitana / 3.2 / Guide / Guide / Application Server / Authentication / ProvidersProviders CAS Custom Facebook GitHub Google Keycloak LinkedIn Local SAML 2.0 Twitter
Score: 12.493732
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Gitana / 4.0 / Developers / Application Server / Authentication / ProvidersProviders CAS Custom Facebook GitHub Google Keycloak LinkedIn Local SAML 2.0 Twitter
Score: 12.493732
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Gitana / 3.2 / Guide / Guide / Multifactor Authentication / ProvidersProviders Twilio Authy Duo Security
Score: 11.277731
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Gitana / 4.0 / Data Engine / Authentication / Multifactor Authentication / ProvidersProviders Twilio Authy Duo Security
Score: 11.277731
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Gitana / 3.2 / Guide / Guide / Optical Character Recognition / OCR ProvidersOCR Providers AWS Textract
Score: 10.528091
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Gitana / 4.0 / Data Engine / Services / Optical Character Recognition / OCR ProvidersOCR Providers AWS Textract
Score: 10.528091
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Gitana / 3.2 / Guide / Guide / Narration / Narration ProvidersNarration Providers AWS Polly
Score: 9.918364
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Gitana / 3.2 / Guide / Guide / Transcription / Transcription ProvidersTranscription Providers AWS Transcribe
Score: 9.918364
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Gitana / 4.0 / Data Engine / Services / Narration / Narration ProvidersNarration Providers AWS Polly
Score: 9.918364
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Gitana / 4.0 / Data Engine / Services / Transcription / Transcription ProvidersTranscription Providers AWS Transcribe
Score: 9.918364
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Gitana / 3.2 / Guide / Guide / Text Analysis / Text Analysis ProvidersText Analysis Providers AWS Comprehend
Score: 8.205364
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Gitana / 4.0 / Data Engine / Services / Text Analysis / Text Analysis ProvidersText Analysis Providers AWS Comprehend
Score: 8.205364
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Gitana / 3.2 / Guide / Guide / Features / Auto RecognizeAuto 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: 7.455861
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Gitana / 3.2 / Guide / Guide / Features / Auto OCR ExtractAuto 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: 6.9025803
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Gitana / 3.2 / Guide / Guide / Optical Character Recognition / OCR Providers / AWS TextractAWS 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: 6.504719
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Gitana / 4.0 / Data Engine / Services / Optical Character Recognition / OCR Providers / AWS TextractAWS 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: 6.504719
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