AI-assisted invoice management built for Austrian business workflows

Steuerbuch.at combines document capture, AI extraction, duplicate checks, VAT review, and reporting preparation in one workflow. The public site describes support for PDF invoices, ZIP archives, structured fields such as sender, invoice date, totals, line items, and VAT-related values, plus review controls so users can correct extracted data before using it in reports.

The goal is practical bookkeeping preparation rather than unsupervised tax filing. The app is positioned as an organization and analysis layer for Austrian invoice records, with exports that remain usable for a bookkeeper, tax advisor, internal finance team, or business owner.

Austrian businesses need recurring context around Umsatzsteuer, UVA periods, E/A-Rechnung, small-business VAT treatment, and advisor handoff. Steuerbuch.at therefore front-loads Austrian terminology and official-source links instead of using generic accounting software language.

The site uses external official sources for tax context and avoids presenting public marketing copy as legal or tax advice. Product pages explain what the software helps prepare, while qualified advisors and official government portals remain the authority for filing obligations.

The site links to the current external imprint, privacy policy, and terms instead of inventing local legal pages without approved operator data. Organization schema uses verified public contact routes and only emits social or sameAs links after they are added to the verified social link registry.

This keeps AI crawlers, search engines, and users aligned with the same visible information. When product pages, documentation, or social links change, generated metadata and AI discovery files are rebuilt from the same source modules during the site build.