Docloop supports all documents related to transport, logistics, and customs: CMR, BL, AWB, invoices, certificates, eFTI documents, official forms, etc. Its coverage extends to more than 200 formats used in the European supply chain.
No. Docloop's AI models are already trained on the most common logistics and customs formats. However, you can create your own keys or business fields without any technical expertise, directly from the interface.
Yes. The Human-in-the-Loop interface allows you to view, validate, or edit extracted data before transmission—giving you control over quality while maintaining speed.
Yes. Multi-AI models combine OCR, layout understanding, and semantic recognition to effectively process even scans or heterogeneous documents.
Docloop does more than just read text: it understands the structure, context, and semantics of documents, then transmits the data ready for integration. It is a trueIntelligent Document Processing platform, not just a simple capture tool.
Yes. Docloop connects to most business solutions using standardized APIs, webhooks, and ready-to-use connectors. You can send the extracted data to one or more systems simultaneously.
Production usually takes a few days to a few weeks, depending on the complexity of the document flow and the number of systems to be connected.
Yes. Docloop offers REST APIs and an SDK that enable software publishers to integrate its white-label technology directly into their own solutions.
Yes. Docloop is a European solution hosted on sovereign infrastructure that complies with the GDPR. It applies the principles of privacy-by-design and meets eFTI requirements.
Our customers see an average of up to 80% time savings in document processing, an 86% reduction in errors, and a significant decrease in re-entry and non-compliance costs.
Yes. The platform is modular and accessible without any technical prerequisites. It is suitable for both large groups and small businesses/SMEs that want to digitize their documents easily without making a significant investment.
