buero.halowerk.com

Takes a text as text, a public URL or inline base64 — PDF, DOCX, ODT, HTML and Markdown are read — and returns it as a graph: the people, organisations, places, products, documents and events it names, and the relations it states between them. Every relation carries the sentence it came from word for word, plus the character offset and line where that sentence stands, and each of those quotes is looked up in the source text before the answer goes out: an exact match, or a match after whitespace…

Takes an inventory — the controller, and one entry per processing activity with its purposes, the stated legal basis, the categories of data subjects and of personal data, the categories of recipients, any third-country transfers, the erasure periods and the security measures — and returns it laid out as a draft record of processing activities under Article 30(1) GDPR.

Takes three documents — the common base and the two versions derived from it — as text, public URLs or inline base64, reads PDF, DOCX, ODT, HTML and Markdown, and returns one merged document. The procedure is diff3 over paragraphs, or over lines if you ask for that: each version is first compared against the base with a Myers shortest-edit-script, the two comparisons together yield the passages that are identical in all three, and each region between them is resolved by rule.