A multinational corporation with decades of accumulated technical documentation maintained an extensive library of product manuals, installation guides, and technical reference documents. Nearly all of this content existed as PDF files. While PDFs served their original purpose of providing print-ready documentation, they created several compounding problems as the organization's digital strategy matured.
Search and discoverability. PDFs are opaque to most site search implementations. Visitors looking for a specific installation procedure or wiring diagram had to know which document to download, then search within it. Content buried inside PDFs did not surface in site search results or in the navigation structure of the website.
Mobile access. The documents were formatted for print, typically for letter or A4 paper. On mobile devices, reading required constant pinching, zooming, and horizontal scrolling. For field technicians who frequently needed to reference documentation on-site using phones or tablets, this was a significant usability problem.
Multilingual gaps. The organization had invested in an AI translation pipeline (described in a companion case study) to translate web content across a dozen languages. PDF content was excluded from this pipeline because the translation workflow operated on structured web content, not on flat document files. This meant that a large portion of the organization's most valuable technical content was available only in English.
Accessibility. PDF accessibility varies widely depending on how the document was created. Many of the legacy documents lacked proper tagging, reading order, and alternative text, making them difficult or impossible to consume with screen readers and other assistive technologies.
SEO. Search engines can index PDF content, but with significant limitations. PDFs do not carry the same structured metadata, internal linking, and semantic markup that HTML pages do. The documentation library was largely invisible to organic search, representing a missed opportunity for inbound traffic.
PiSrc deployed Metaphora to convert the PDF library into authorable AEM (Adobe Experience Manager) components. This was not a simple PDF-to-HTML export. Metaphora analyzed the structure of each document and mapped its content into AEM's component model, producing pages that content authors could subsequently edit, update, and manage using AEM's standard authoring tools.
The conversion preserved document structure: headings, sections, tables, figures, and cross-references were mapped to their AEM equivalents. The output was not a static HTML snapshot but a set of live, authorable pages that participated fully in the site's content management workflows.
A critical design decision was to feed the converted pages directly into the existing AI translation pipeline. Because the output was standard AEM content, it required no special handling. The same Metaphora translation workflow that processed the rest of the site's content now processed the former PDF library as well. This single integration point meant that converting a PDF into AEM simultaneously made it available in every supported language.
The conversion created a cascade of benefits that extended well beyond the immediate goal of making PDFs more accessible.
Multilingual availability. The entire converted library became available across all supported languages through the existing translation pipeline. Content that had been English-only for years was now accessible to the organization's global customer base, with the same contextual accuracy and business rule compliance described in the translation case study.
Mobile responsiveness. AEM pages render responsively by default. Field technicians could now access installation guides and technical references on phones and tablets without the zooming and scrolling that PDFs required. This was one of the most immediately appreciated changes by end users.
Site search integration. Converted content became fully searchable within the site's search infrastructure. A technician searching for a specific part number or procedure now finds the relevant documentation section directly, rather than downloading a PDF and searching within it.
Accessibility compliance. The AEM pages carried proper semantic structure, heading hierarchy, alternative text for images, and reading order. This brought the documentation library into compliance with accessibility standards that the PDF versions had not met.
SEO impact. The converted pages were indexable, internally linked, and carried structured metadata. Organic search traffic to documentation content increased meaningfully as search engines indexed the new pages and began surfacing them in results.
Authoring continuity. Because the output was native AEM content, the organization's content team could update and maintain the documentation using their existing tools and workflows. There was no separate system to manage for the converted content.
The project converted the legacy PDF library into web-native, multilingual, mobile-responsive, accessible, and searchable content. The cost per converted page was substantially lower than what manual re-creation would have required, a result that exceeded the organization's initial projections.
The most significant outcome was the compounding effect: a single conversion step unlocked multilingual translation, mobile access, site search, SEO, and accessibility simultaneously. Each of these had been identified as a separate initiative with its own timeline and budget. By converting the source format, all of them were addressed through existing infrastructure.
