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Transform your decade-old prints, business documents, newspapers, magazines, journals, theses, and PhD articles into organized, searchable digital formats. Protect the future of your operations with AI-powered document archiving.
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Collatio Digital Archive is Scry AI’s platform that transforms decades of print materials or archives into a modern knowledge management system. It converts physical or non-machine-readable PDFs into fully digitized, meta-rich, and searchable formats.
Traditional archiving and legacy storage systems often retain information in static formats, which can result in data loss. Critical information may become inaccessible, lost, or permanently deleted, with no means of recovery, disrupting business operations.
Files stored as read-only PDFs or images are difficult to retrieve or search, limiting access to essential information.
Multi-page articles or journals often lose continuity in conventional archives, creating incomplete narratives.
Static scans require manual tagging and indexing, a slow and inconsistent process that cannot scale effectively.
Unused or inaccessible archived data wastes resources and conceals valuable insights, analytics, and revenue opportunities.
Collatio Digital Archive Software transforms your static records into dynamic, revenue-generating knowledge assets. Powered by an AI-driven framework, it builds an active data ecosystem where information is intelligently preserved and made strategically valuable.
AI identifies and extracts articles from complex layouts, even when text wraps around images or spans multiple columns. Visuals and captions are captured alongside articles, preserving the full story and essential context.
Articles spanning multiple pages or content blocks are automatically combined into a coherent, readable flow, preserving narrative integrity and historical accuracy.
AI automatically classifies content by theme, topic, person, event, and date. Through semantic mapping, it connects related articles and contextual elements. When viewing any item, users gain full situational awareness through dynamically linked references.
Advanced models distinguish editorial content from non-core material such as advertisements, fillers, or noisy data. This enables clean extraction, accurate analytics, and effective content repurposing.
Offline archives are converted into a fully searchable digital system. Using AI, ML, and NLP, the platform gains a semantic understanding of the archival content, recognizing relationships, context, and data structures. This allows users to query the data in natural language and efficiently locate, analyze, and retrieve relevant information instantly.
Seamlessly connects with enterprise systems, Q&A platforms, and other business applications, enabling archive repurposing, advanced analysis, and workflow automation.
Collatio Digital Archive empowers organizations to transform their archives. Once implemented, it delivers exceptional accuracy, effortless accessibility, and streamlined archive management, making legacy data a strategic resource.
Content Accuracy with human-in-the-loop (HITL) validation for precise archival extraction
Reduction in manual indexing and classification time
Digital Accessibility for legacy archives across all formats
Document Types Supported with Multi-Language Capability
Scanned newspapers, journals, and other materials are uploaded to Collatio. Then AI automatically detects and categorizes document types such as newspapers, magazines, research papers, and historical records.
Collatio extracts key metadata, including publication name, edition, and date. It intelligently identifies articles within complex, image-heavy layouts and reconstructs them in a logical reading order, preserving the original narrative flow.
Every visual element, such as photographs and illustrations, is extracted, tagged, and linked to its corresponding article to retain complete visual context.
Each article is enriched with tags for topics, people, places, and events. Related articles are interconnected to preserve continuity, and all structured data is securely stored in a centralized, searchable repository optimized for analytics.
Users can perform natural-language searches such as “Show me articles on the 1991 budget.” Auriga interprets each query and delivers contextually relevant results in real time.
From large-scale newspaper archives to academic collections, Collatio supports all major formats and complexities with equal precision.
Collatio Digital Archive is built on secure, standards-driven frameworks that protect content integrity and ensure trusted, long-term digital preservation.
Meets ISO 27001, SOC 2, SOX, and GDPR standards with end-to-end encryption and access controls to ensure data protection and confidentiality.
Uses METS, PREMIS, Dublin Core, and BagIt to preserve authenticity, reliability, and long-term digital integrity
Delivers secure integrations, full traceability, and transparent compliance across connected archival systems and platforms.
We are trusted by enterprises globally.
Collatio applies configurable, purpose-built AI to deliver modern solutions across finance, manufacturing, and document operations.
Connect with your existing enterprise platforms through APIs and direct data exchange, keeping your workflows intact and your teams in sync.
Give your business teams, readers, and researchers instant access to decades of untapped knowledge with our AI-driven Digital Document Archive Software.
Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.
Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.
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