Challenges
A leading publisher needed to digitize more than 80 years of magazine archives for its centennial relaunch. Inconsistent scans and complex layouts made structured extraction difficult.
Solutions
Straive implemented a three-stage digitization workflow combining automation, human expertise, and AI to deliver structured outputs at scale.
- Automated high resolution content extraction to capture text and key content elements from archived images
- LLM based verification and data enhancement to validate extracted content, ensure completeness, and generate enriched metadata
- Custom trained language models to identify and flag layout inconsistencies and extraction issues for correction
- Categorization and structured output delivery in JSON format to enable seamless integration with modern publishing and search platforms
Impact
- A fully digitized, searchable archive supporting the magazine’s centennial relaunch
- Preserved legacy content transformed into a future ready digital resource
- Improved discoverability and reuse of historical assets
- New opportunities for content monetization, accessibility, and long term innovation
About Us
At Straive, we operationalize data analytics and AI for global enterprises. We leverage our unique people-process-tech framework to build the best-of-breed data analytics & AI solutions. By operationalizing this solution into your core workflow, we deliver real-world measurable impact and better ROIs through a combination of higher efficiency, elevated experiences, and enhanced revenues.
For more information about our services and how we can help you operationalize data analytics and AI, please visit our website: www.straive.com contact us at contact@straive.com.
