Multichannel document intake
Ingest documents from email, scanners, PEPPOL, and shared drives automatically.
AI document processing that captures and validates data from invoices, orders, and other transactional documents.
Rossum is an AI document processing platform built for transactional paperwork such as invoices, sales orders, and bills of lading. It ingests documents from email, scanners, PEPPOL, and shared drives, reads 276 languages including handwriting, and uses a transactional language model that learns from user corrections. Data is validated against master data and business rules before export to ERP systems. Accounts payable, order management, and shared service teams at enterprises use it to reduce manual data entry.
Mohamed E.
Chief accountant
“Liked the strong OCR for documents and the useful add-ins. Found Arabic text recognition weak, with many issues when processing documents in that language.”
Michal K.
CTO
“Liked the open approach of the vendor, the intuitive interface, and how easy it is to learn. Found some nice-to-have features were still pending at the time.”
Robert M.
CEO
“Liked that it returns some quality invoice data. Found a large price increase hard to accept, alleged unethical conduct by the vendor, and noted cheaper alternatives exist.”
Emil L.
Internet Marketing/Graphic Designer
“Liked the user-friendly design, time savings, accurate extraction, good integrations, and helpful support. Found setup complex, some documents and languages hard to process, and the cost high for small businesses.”
Tosh K.
IT Analyst
“Liked how easy it is to import PDF invoices and purchase orders and export the extracted data. Found that training the system to improve accuracy can be difficult.”
Marcela L.
CEO
“Liked how it supports paperless goals through data extraction and a custom integration with accounting software. Found receipt data extraction to be the weakest area of the product.”
Lohith N.
Senior RPA Consultant
“Liked the ease of use, table capture grid, multiple upload options, and API. Found accuracy drops for rarely used queues and the AI takes a long time to learn.”
Bridgette Y.
Global Trade Coordinator
“Liked the time saved on lengthy documents, table reading, and Excel backup. Found it cannot capture data across differently formatted documents, covering about half of the data needed.”
Henk W.
Software developer
“Liked the ease of use, excellent support and documentation, and good overall quality. Found per-page pricing less suitable and suggested pricing per document instead.”
Verified Reviewer
Founder
“Liked the acceptable invoice extraction, which may suit large businesses. Found the cost high for small and mid-sized businesses, setup lengthy, and accuracy and language support limited.”
Brayan C.
Systems analyst
“Liked the intuitive design and how easy it is to use and implement, which suits growing companies. Noted no major drawbacks so far.”
Verified Reviewer
Sales advisor
“Liked that it is intuitive even for non-technical users, with simple rule creation and useful process automation features. Noted no major drawbacks.”
Martin N.
Expert I AFS
“Liked the AI technology, the strong technical support from a knowledgeable team, and the absence of any vendor lock-in. Noted no major drawbacks.”
Intelligent document processing
Pretrained skills for many document types
Small team document extraction
Simple AI workflows for invoices and forms
Lending and finance documents
Prebuilt models for financial document extraction
RPA-linked document processing
Combines extraction with UiPath automation bots