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2 changes: 1 addition & 1 deletion analyzer_templates/audio_transcription.json
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
{
"description": "Sample audio transcription",
"baseAnalyzerId": "prebuilt-audioAnalyzer",
"baseAnalyzerId": "prebuilt-audio",
"config": {
"returnDetails": true,
"locales": ["en-US"]
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4 changes: 2 additions & 2 deletions analyzer_templates/call_recording_analytics_text.json
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
{
"description": "Sample call recording analytics",
"baseAnalyzerId": "prebuilt-audioAnalyzer",
"description": "Sample call recording analytics",
"baseAnalyzerId": "prebuilt-audio",
"config": {
"returnDetails": true
},
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2 changes: 1 addition & 1 deletion analyzer_templates/content_document.json
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
{
"description": "Sample document content analyzer",
"baseAnalyzerId": "prebuilt-documentAnalyzer",
"baseAnalyzerId": "prebuilt-document",
"fieldSchema": {}
}
8 changes: 3 additions & 5 deletions analyzer_templates/content_video.json
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
{
"description": "Sample video content analyzer",
"baseAnalyzerId": "prebuilt-videoAnalyzer",
"baseAnalyzerId": "prebuilt-video",
"config": {
"returnDetails": true,
"locales": [
Expand All @@ -14,9 +14,7 @@
"ko-KR",
"pt-BR",
"zh-CN"
],
"enableFace": false
]
},
"fieldSchema": {
}
"fieldSchema": {}
}
8 changes: 3 additions & 5 deletions analyzer_templates/face_aware_in_video.json
Original file line number Diff line number Diff line change
@@ -1,8 +1,7 @@
{
"description": "Generate face-aware content understanding from video.",
"baseAnalyzerId": "prebuilt-videoAnalyzer",
"baseAnalyzerId": "prebuilt-video",
"config": {
"enableFace": true,
"returnDetails": true,
"locales": [
"en-US",
Expand All @@ -18,7 +17,7 @@
]
},
"fieldSchema": {
"description": "Analyze videos to extract faces",
"description": "Analyze videos to extract visual descriptions including people",
"fields": {
"description": {
"type": "string",
Expand All @@ -35,6 +34,5 @@
]
}
}
},
"scenario": "videoShot"
}
}
129 changes: 0 additions & 129 deletions analyzer_templates/insurance_claims_review_pro_mode.json

This file was deleted.

70 changes: 0 additions & 70 deletions analyzer_templates/invoice_contract_verification_pro_mode.json

This file was deleted.

4 changes: 2 additions & 2 deletions analyzer_templates/invoice_field_source.json
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
{
"description": "Sample invoice analyzer",
"baseAnalyzerId": "prebuilt-documentAnalyzer",
"description": "Sample invoice analyzer",
"baseAnalyzerId": "prebuilt-document",
"config": {
"returnDetails": true,
"estimateFieldSourceAndConfidence": true
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3 changes: 1 addition & 2 deletions analyzer_templates/marketing_video.json
Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,7 @@
"description": "Sample marketing video analyzer",
"baseAnalyzerId": "prebuilt-video",
"config": {
"returnDetails": true,
"segmentationMode": "noSegmentation"
"returnDetails": true
},
"fieldSchema": {
"fields": {
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39 changes: 16 additions & 23 deletions analyzer_templates/marketing_video_segmenation_auto.json
Original file line number Diff line number Diff line change
@@ -1,32 +1,25 @@
{
"description": "Sample marketing video analyzer",
"baseAnalyzerId": "prebuilt-videoAnalyzer",
"description": "Sample marketing video analyzer with automatic segmentation",
"baseAnalyzerId": "prebuilt-video",
"config": {
"returnDetails": true,
"segmentationMode": "auto"
"enableSegment": true
},
"fieldSchema": {
"fields": {
"Segments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Description": {
"type": "string",
"description": "Detailed summary of the video segment, focusing on product characteristics, lighting, and color palette."
},
"Sentiment": {
"type": "string",
"method": "classify",
"enum": [
"Positive",
"Neutral",
"Negative"
]
}
}
}
"Description": {
"type": "string",
"description": "Detailed summary of the video segment, focusing on product characteristics, lighting, and color palette.",
"analyzerId": "prebuilt-video"
},
"Sentiment": {
"type": "string",
"method": "classify",
"enum": [
"Positive",
"Neutral",
"Negative"
]
}
}
}
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45 changes: 21 additions & 24 deletions analyzer_templates/marketing_video_segmenation_custom.json
Original file line number Diff line number Diff line change
@@ -1,33 +1,30 @@
{
"description": "Sample marketing video analyzer",
"baseAnalyzerId": "prebuilt-videoAnalyzer",
"description": "Sample marketing video analyzer with custom segmentation using contentCategories",
"baseAnalyzerId": "prebuilt-video",
"config": {
"returnDetails": true,
"segmentationMode": "custom",
"segmentationDefinition": "Segment the video at each clear narrative or visual transition that introduces a new marketing message, speaker, or brand moment. Segments should begin when there is a change in speaker, a shift in visual theme (e.g., logos, product shots, data center views, simulation footage, aircraft scenes), or the introduction of a new key message (e.g., quality of data, scale of infrastructure, customer benefit, real-world aviation use). Each segment should capture one distinct marketing idea or value point, ending when the focus transitions to the next theme."
"enableSegment": true,
"contentCategories": {
"Marketing Segment": {
"description": "A distinct marketing message or visual transition introducing a new marketing message, speaker, or brand moment.",
"analyzerId": "prebuilt-video"
}
}
},
"fieldSchema": {
"fields": {
"Segments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Description": {
"type": "string",
"description": "Detailed summary of the video segment, focusing on product characteristics, lighting, and color palette."
},
"Sentiment": {
"type": "string",
"method": "classify",
"enum": [
"Positive",
"Neutral",
"Negative"
]
}
}
}
"Description": {
"type": "string",
"description": "Detailed summary of the video segment, focusing on product characteristics, lighting, and color palette."
},
"Sentiment": {
"type": "string",
"method": "classify",
"enum": [
"Positive",
"Neutral",
"Negative"
]
}
}
}
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