An autonomous document factory

Lector checks incoming applications and forms for completeness and plausibility, regardless of layout or document type. Using your review criteria, Lector recognises filled and empty fields — including handwriting, ticked boxes and digital markings — reports what is missing, and checks whether the details are consistent, logical and up to date.

Required attachments are checked too, such as payslips, registration certificates or signed application forms. Missing or illegible documents stand out immediately, and a compact summary highlights inconsistencies between documents.

Your case handlers no longer have to work through every page only to discover at the end that something is missing. Lector does the groundwork so the application can be processed quickly. Manual review is supported so thoroughly that only minimal effort remains.

Lector reads structured, semi-structured and unstructured documents and extracts exactly the information you need — from names and dates of birth to invoice numbers, amounts and line items, right through to signatures and checkboxes. Handwriting, optical markings and multi-page documents are no problem either, entirely without OCR rules or templates.

With certain AI models you can see for every value how confident Lector is. Instead of typing data in by hand, only the actual case work remains — with high data quality and minimal rework.

Lector sorts and distributes incoming emails automatically, whether it's a job application, an invoice or a customer enquiry. Lector evaluates not just the message text but the attachments and their content, and forwards every mail to the right person, department or system.

You define the routing rules yourself — by sender, content, document type or extracted data. Every mail ends up where it belongs without manual distribution, and nothing is left sitting around.