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    Arcanum Newspaper Segmentation

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    Sold by: Arcanum 
    Make your newspapers even more accessible with Arcanum's Newspaper Segmentation API powered by artificial intelligence.
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    Overview

    Arcanum, the company behind Arcanum Digitheca, introduces its Newspaper Segmentation application programming interface (API). Companies and institutions can make their newspapers even more accessible with Arcanum's Newspaper Segmentation API that is able to automatically segment pages into articles, then articles further into different sections such as captions, body, titles, or advertisements.

    Having been digitizing newspapers for many years and published over 50 million pages online, Arcanum understands the challenges behind digitizing newspapers. Arcanum's Newspaper Segmentation API has been designed to overcome the limitations of existing OCR tools.

    Highlights

    • Optical Character Recognition
    • Article segmentation, reading order correction
    • Detection of titles, bylines, captions, advertisements, etc.

    Details

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    Delivery method

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    Pricing

    Arcanum Newspaper Segmentation

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
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    Usage costs (1)

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    Dimension
    Cost/request
    Pages segmented
    $0.005

    Vendor refund policy

    No refund

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    Usage information

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    Delivery details

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    Product comparison

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    Accolades

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    Top
    10
    In Machine Learning, Computer Vision
    Top
    10
    In Text/OCR

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    Optical Character Recognition
    Optical character recognition capability for digitized newspaper content processing
    Article Segmentation
    Automatic segmentation of newspaper pages into individual articles with reading order correction
    Content Element Detection
    Detection and classification of specific content elements including titles, bylines, captions, and advertisements
    Artificial Intelligence Processing
    AI-powered processing engine for automated newspaper page analysis and structure recognition
    AI-Powered Metadata Tagging
    Automated asset tagging through AI-driven workflows that accelerate metadata generation and content organization.
    Multi-Model AI Ecosystem Integration
    Access to ecosystem of over 300 AI models across various categories for content discovery and analysis automation.
    Content Monetization Platform
    Built-in ecommerce capabilities enabling creation of branded content marketplaces and paid access models for event-specific or general content.
    Rights Management and Access Control
    Granular access controls and rights management features for managing content permissions across internal and external stakeholders.
    System Integration and Interoperability
    Flexible integration capabilities with existing DAM solutions, disparate systems, and custom AI models through open architecture.
    Production-Grade Runtime Environment
    Pre-built and optimized Python runtime for document processing tasks with rapid deployment capabilities
    Zero-Shot Document Templates
    Accelerated processing blueprints for common document types including forms with handwriting, paystubs, bank statements, and invoices without requiring training data
    Comprehensive Document Intelligence
    Built-in capabilities for document classification, extraction, transcription, complex table handling, and Human-in-the-Loop interfaces with native QA support
    High-Throughput Processing Architecture
    Massively parallel processing engineered for high-throughput, low-latency performance at scale with intelligent cost orchestration across CPU and GPU resources
    Model-Agnostic Pipeline Framework
    Support for any model type or custom third-party integration within a single pipeline with centralized versioning, auditability, and full telemetry tracking on all inputs, outputs, and automated decisions

    Contract

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    Standard contract
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    Customer reviews

    Ratings and reviews

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    1 ratings
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    1 AWS reviews
    Colin

    "Internal Server Error"

    Reviewed on Apr 08, 2025
    Review from a verified AWS customer

    The error responses are not helpful. Is this meant to be a working product? The API documentation is extremely sparse and unhelpful.

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