Word by word, with the position
Each change with its page, removed text in red, added text in green and the context, classified by type: words, numbers or dates, punctuation, spacing, capitals, the text of a visible signature.
Two versions of a contract, the copy received and the signed one, the document filed and the one produced: PDF comparison tells you where each change is, page and context, and what kind it is — words, numbers or dates, punctuation, spacing, capitals, the text of a visible signature. It shows the pages side by side with coloured differences, recognises inserted or removed pages and graphic differences such as stamps and handwritten signatures, verifies the digital signatures of both documents and ends with a plain-language verdict. The two PDFs are not modified.
Each change with its page, removed text in red, added text in green and the context, classified by type: words, numbers or dates, punctuation, spacing, capitals, the text of a visible signature.
Red removed, green added, orange replaced, and blue for graphic differences — stamps, handwritten signatures, images, lines — computed outside the text, so text shifting by a line does not colour the whole page. Inserted or removed pages are recognised.
From “Identical files” to “Substantially different documents”, with the list of what changes and the caveats. Three modes: strict (everything), balanced (without micro-differences), semantic (only what changes the meaning).
The signatures of both documents go through Probatio's full verification: integrity, AgID/eIDAS chain, timestamp, changes after signing. Images by hash, fonts, annotations, form fields, saved revisions and metadata are compared too.
It says whether each change alters the meaning or is a rewording, and finds paragraphs with no counterpart. The model (about 480 MB) is downloaded once from Hugging Face, with hash verification; after that everything stays on the computer.
Scanned or photographed pages are straightened before comparing (corners adjustable by hand) and read with Tesseract 5 OCR, locally. The PDFs stay intact: the transformation goes into the report.
Verdict, changes, side-by-side pages and the hashes of both files, recomputed at generation time; JSON export for whoever needs to process the data.