Rapid XML generation
for structurally robust scholarly content.

Automated XML generation for faster time-to-publication

XML generation that makes structuring simpler and points users towards errors that require manual intervention.

Cost optimisation
with sustained
quality in output

Browser-based editor for XML generation that reduces costs without disrupting the quality of the final PDF files.

Publisher-centric design with an insights engine

Empowering publishers to create XML-first workflows with an editor that plugs anywhere into their publishing workflow.

Smart article profiling for smarter resource allocation

XML Central segregates articles based on structural quality using an AI model that allocates resources by predicting how much attention each article or chapter needs.

Validation-led structuring for efficient and accurate conversion

Content is validated through a two-stage process with paragraph and character-level checks, during which XML Central highlights errors to resolve, eliminating the need for manual XML checks.

Data-driven insights
for continuous improvement

Changes can be tracked within the browser-based editor to reduce wait times between versions. XML Central captures user actions, insights from which help us continuously improve.

Real-time support for immediate resolutions

With webRTC, XML Central eliminates long wait times for troubleshooting and ensures seamless integration into your workflows.

What our clients are saying

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Stuck with slow, error-prone XML structuring that delays publication and increases costs?

XML Central can automate and optimise XML generation,
making structuring feel like a breeze while maintaining high quality.

Other products

One-click pagination,
print-ready pages.

Automated pagination on the browser so authors can see instantly paginated outputs, and publishers can generate print and web-ready pages in seconds.

Compliant manuscripts,
accurate metadata.

Automated completeness checks on submissions, so missing and incomplete elements can be identified and fixed right upfront.

Manuscripts assessment
for language quality,
AI-assisted.

Language quality scoring to help publishers assign the right levels of copy editing to manuscripts. Built on linguistically-informed rule-based deep learning models.

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