Structuring Content for Today's Discovery Systems
We convert, structure, and enrich content for reliable indexing, archiving, and AI discoverability. Services include XML and JATS conversion, metadata enrichment for AI systems, and digitization of legacy print materials.
Digitization & XML Content Solutions
XML & Structured Content Conversion
We provide comprehensive XML conversion and content structuring services for books, journals, and STEM publications. Our team works with industry-standard schemas including JATS (Journal Article Tag Suite), BITS, and NLM DTD, making sure your content is properly structured for indexing, discoverability, and long-term archival.
We support PubMed and PubMed Central submission workflows, converting and validating content to meet the strict compliance standards scientific and scholarly publishing demands. From manuscript to fully tagged XML, we help you make your content interoperable across platforms, repositories, and discovery systems — accurately, efficiently, and at scale.
Metadata Enrichment for AI & LLM Discoverability
As AI search and generative tools become a real discovery channel alongside traditional search engines and repositories, content needs metadata that both humans and machines can read. We enrich your XML, JATS, and web content with the structured metadata that makes it correctly indexed, cited, and surfaced by AI systems, large language models, and semantic search — not just legacy search engines.
Structured metadata tagging
Schema.org markup, JSON-LD, and semantic tags applied to titles, authors, abstracts, subjects, and identifiers, so content is machine-readable in the formats AI crawlers and LLM training pipelines actually parse.
Semantic and taxonomy enrichment
Subject classification, keyword and entity tagging, and controlled vocabularies that improve how accurately AI systems interpret and represent your content.
Persistent identifiers & provenance
DOIs, ORCID, and other identifiers embedded and validated, so authorship, source, and version are traceable wherever the content is surfaced or cited.
AI-readiness audits
Reviewing existing content and metadata against current LLM and generative-search discoverability standards, with a clear roadmap for what to remediate.
Data Transformation & Enhancement
Legacy and print material doesn't lose its value just because it's on paper, on microfilm, or trapped in an outdated file format — but it does need to be converted before it's usable again. We digitize books, manuscripts, newspaper archives, and scanned or photographed documents through OCR, manual keying, and cataloguing, with a manual quality-check pass on every batch so the output isn't just readable, it's accurate — correct running text, correct structure, and correctly captured tables, footnotes, and special characters that automated OCR alone tends to get wrong.
For titles moving into digital distribution, we convert into whichever output format actually fits the content — reflowable ePub and ePub3 for straightforward text, fixed-layout or enhanced/interactive eBooks for heavily illustrated or design-dependent titles, plus HTML5 and PDF for web and print-adjacent delivery. We work from whatever source material you have, including older or non-standard formats, and flag upfront if anything in it — dense tables, embedded fonts, complex layouts — will need special handling before conversion, rather than surfacing it as a problem partway through.