How we turned invisible PDFs into a reader magnet

Large content websites, media portals, and cultural institutions often face one specific challenge. On one hand, they publish fresh articles daily; on the other, they manage massive archives of older texts along with a multitude of other formats, such as yearbooks, rate schedules, or extensive PDF documents.

The Copyright Protection Association (OSA), which publishes Autorin magazine, approached us with this problem. They managed a gigantic amount of historical and operational data but were unable to utilize it. To navigate content of this scale, a reader needs a search function, and their existing search engine could not handle this task.

It usually extracted only raw text from PDFs and other documents, which no one could meaningfully categorize. As a result, even highly valuable information and engaging articles remained essentially invisible to visitors, and no one wanted to search through them.

Therefore, in our Search Ready division, we decided to approach the problem differently and find a solution that makes hidden data accessible. Take a look behind the scenes at how we proceeded, and find inspiration on how you can benefit from a similar principle on your own website.

Changing the approach: unifying and understanding context

OSA had fragmented content—current articles were published on the autorin.cz website, while historical documents, rate schedules, and complete archival collections were managed on the archiv.osa.cz portal. The first step was to unify this data and connect the standard web environment with extensive databases into a single, intuitive search interface.

The goal was to make the extensive archive of published content accessible so that researchers, readers, and other visitors could easily access valuable historical data to draw from. While the search on autorin.cz primarily covers the magazine's archive, the system delivered by the Search Ready division on archiv.osa.cz searches the complete archive, including all materials from Autorin.cz. The content was unified into thematic indexes without requiring complex internal IT development on the client's side.

However, merely merging the sources would not be enough if the search engine did not understand the documents. Therefore, instead of a standard full-text search, we built the solution on a deep analysis of the internal content structure across various formats (PDFs and raster formats like PNG or JPG).

Understanding the visual layout: Our system does not just read words. It instantly recognizes the hierarchy of headings, tables, paragraphs, and images.

Reading from scans: For historical archives without a text layer, we automatically deploy Smart OCR technology. All data is subsequently transformed into a structured Markdown format.

Reconstructing metadata: The system automatically reconstructs the actual title of the document from the content and creates a concise summary for it, without us having to change the original URL paths.

As a result, people on OSA websites today no longer see just cryptic links to folders, but rather a clear index with clear titles and interactive document outlines.

4 tips to take away from our process for your website

How should you think about smart data connection on your portal so that the visitor (and you) get the most out of it? Here are four main principles that have proven successful for us in practice:

1. Allow searching everything from one place Do not force visitors to jump between the main domain, the e-shop, and the archive. If you have content in multiple places, unify it under one smart search box. When a reader or customer finds everything quickly and from one place, they do not leave to look for answers from the competition (or back on Google).
2. Give results visual labels and create outlines People do not like clicking on blind links. It helps significantly when you automatically equip each search result with a visual label based on the URL address (for example, "article", "magazine", or "document"). If the search engine also adds the logical chapters of the document to this, the reader gains immediate context even before they start downloading a large PDF.
3. Prioritize current content over history For search to be truly useful to people, it must understand the industry context. Set up smart sorting so that fresh news and valid documents automatically take precedence over a ten-year-old archive. Automatic data cleaning also helps maintain order, as the system intelligently trims excessively long and unformatted article titles.
4. Think about your editors and employees High-quality content search does not serve only the public by any means. An intuitive environment will also be appreciated by your internal teams. When customer support or the editorial team can easily and deeply search the internal content of their own historical attachments and documents, you save them a huge amount of time and frustration from bureaucratic fumbling.

Assess your content potential

Hidden data represents a huge opportunity for better UX and new organic traffic. Try looking at your archives with fresh eyes. If you are looking for a way to revive your existing content and logically connect it, reach out to us.

We’ll be happy to share our experience with you. Our intelligent Search Ready search engine can breathe life into even the most complex data structures.

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