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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Dimension | Cost/request |
|---|---|
Pages segmented | $0.005 |
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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.
Machine Learning-Based Data Extraction
Leverages machine learning algorithms to intelligently extract data from diverse document formats including handwritten forms, PDFs, and low-resolution images with 99% accuracy rates.
Proprietary Model-Based Architecture
Built on a proprietary model-based architecture that reads and understands all forms of content, delivering industry-leading automation rates of 98.5% across enterprise-scale document processing.
Data Validation and Enrichment
Provides data validation and enrichment capabilities to ensure accuracy of extracted information and reduce downstream workflow steps.
Pre-Built and Customizable Workflows
Offers out-of-the-box and customizable tasks, workflows, and connectors that integrate with internal or external systems and applications.
LLM Integration with Governance
Harnesses the power of large language models with built-in auditability, governance, and security controls while processing private enterprise data for generative AI applications.
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Customer 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.