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 |
Dimensions summary
You pay based on usage, measured by the number of newspaper pages you segment. Each page you submit counts as one request. There are no tiers, instance sizes, or fixed commitments to choose from. Your cost scales directly with how many pages you process. If you send more pages, you pay more; if you send fewer, you pay less. This pay-as-you-go structure means you are billed only for the segmentation work you actually run.
Top-of-mind questions for buyers
One page equals one processed image request. You upload a scanned newspaper page as an image, and the service segments it into articles and sections. Each image you submit for processing counts as one billable request, regardless of how many articles or blocks it contains.
The service returns a status code other than 200 with an error message when a request fails. The pricing table meters pages segmented as successful requests. For confirmation on whether failed or error responses count toward your billed usage, contact the vendor.
No. You pay per page submitted, not per article or column detected. A page with ten columns and many articles counts as one request, the same as a simple single-column page. Only the number of pages you process drives your cost.
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By Arcanum
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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.
Production-Grade Runtime Environment
Pre-built and optimized Python runtime for document processing tasks with rapid deployment capabilities
High-Throughput Document Processing
Massively parallel processing architecture engineered for high-throughput, low-latency performance at scale
Model-Agnostic Integration Framework
Native support for any model type including proprietary ML models, VLMs, LLMs, and custom third-party integrations within a single pipeline
Intelligent Cost Optimization
Agentic optimization of model mix between CPU and GPU resources for peak performance at lowest operational cost
Comprehensive Document Intelligence Capabilities
Built-in classification, extraction, transcription, complex table handling, and Human-in-the-Loop interfaces with full telemetry and observability tracking
Standard contract
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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.