Initial public ModelForge release
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capability: document.ocr
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version: 1
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description: OCR and structured document extraction.
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input_schema:
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type: object
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additionalProperties: false
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required: [content_base64, media_type]
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properties:
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content_base64: {type: string, minLength: 4, maxLength: 11184812}
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media_type: {enum: [image/png, image/jpeg]}
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language_hint: {enum: [nl, en, auto]}
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output_schema:
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type: object
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additionalProperties: false
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required: [text, pages]
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properties:
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text: {type: string}
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pages: {type: array, minItems: 1, maxItems: 1}
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blocks: {type: array}
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confidence: {type: [number, 'null']}
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modalities: {input: [image, document], output: [text, json]}
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languages: [nl, en]
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structured_output: true
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quality_metrics: [cer, wer, field_accuracy, layout_accuracy]
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upgrade_class: schema_breaking
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: restricted, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: background
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default_residency: load_on_demand
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estate:
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category: DOCUMENT
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purpose: Offline text extraction from bounded local document images.
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stability: experimental
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resource_class: MEDIUM
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evaluation_type: ocr
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consumers: [examplerag, examplevision, example-ops]
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payload_limits: {max_bytes: 8388608, max_batch_count: 1, max_width: 4096, max_height: 4096, max_pages: 1}
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