Listing Thumbnail

    Arcanum Newspaper Segmentation

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

    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

    Delivery method

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Arcanum Newspaper Segmentation

     Info
    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.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

     Info
    Dimension
    Cost/request
    Pages segmented
    $0.005

    Vendor refund policy

    No refund

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

     Info
    Updated weekly

    Accolades

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

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    1 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    10 reviews
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Optical Character Recognition
    Advanced AI-powered text recognition technology for processing newspaper images
    Document Segmentation
    Automatic page division into distinct article components like captions, body text, titles, and advertisements
    Reading Order Correction
    Intelligent algorithm for reconstructing and organizing text segments in logical sequence
    Content Classification
    Automated detection and categorization of different newspaper page elements
    Image Processing
    Machine learning-based technique for analyzing and segmenting complex newspaper page layouts
    AI-Powered Asset Tagging
    Automated workflow for content metadata generation using over 300 AI models across multiple categories
    Content Marketplace Management
    Capability to create branded content marketplaces with robust ecommerce functionality
    Media Discovery System
    Advanced search capabilities for rapid content surfacing and identification across digital assets
    Access Control Mechanism
    Flexible integration for managing content sharing and access permissions with internal and external stakeholders
    Ecosystem Integration
    Supports connection with disparate systems, existing digital asset management solutions, and custom AI models
    Machine Learning Extraction
    Advanced machine learning-based document processing with 99% accuracy for extracting data from diverse document types
    AI Infrastructure
    Proprietary model-based architecture capable of reading and understanding multiple content formats with 98.5% automation rates
    Enterprise Data Processing
    Capability to transform non-machine readable data formats into structured, machine-readable information across organizational workflows
    Content Understanding
    Advanced AI system that can process complex documents including handwritten forms, PDFs, and low-resolution images
    Generative AI Enablement
    Platform designed to support generative AI applications by providing automatically labeled enterprise data for model training

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    1
    1 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    100%
    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.

    View all reviews