What to do when you need to reliably test hundreds of different documents against a specific template, but the files to be checked are not identical in length and structure? Conventional tools allow automated document comparison only if the reference document and the candidate document have exactly the same number of pages.
Better, because more flexible, are 1:n comparisons. The principle: An output file of any length and with different page types is compared page by page with a given template. The advantage of this "one-to-many" method is that the template (reference document) and the test file (candidate document) do not have to be identical in terms of page length and type. Thus, a document to be checked with hundreds of individual pages can be checked against a template of only a few pages with absolute certainty and accuracy.
Important: It is not enough to compare documents only on a visual level. After all, analysis at the pixel level is of little use if only five of 1,000 deviations found are actually relevant. Rather, it is also a matter of object and text comparison, i.e., the comparison must be made at bit level, because quite a few deviations cannot be detected with the naked eye.
Therefore: What is needed are solutions that allow the greatest possible tolerance during the check without neglecting absolute correctness in content, corporate identity (fonts, layout, etc.) and compliance (legal requirements) (fuzzy methodology).