What exactly is cloud document processing?
With cloud document processing, you send a document, a PDF invoice, a scanned CMR or an Excel packing list, to an external platform. That platform reads the relevant fields, structures them and delivers them into your ERP, TMS or accounting system. Your own servers do none of the heavy lifting. On-premise is the reverse: the processing software runs on your own infrastructure, behind your own firewall. Hybrid sits in between: recognition happens in the cloud, while storage and approval remain local. The distinction sounds technical, but it has direct consequences for what you spend on setup, management and integration.
Why cloud is the shortest route for most SMBs
The biggest practical advantages of cloud document processing lie in speed and scalability. You do not need to purchase servers, install software or mobilise an IT department for maintenance. A cloud solution like dottle goes live in two weeks, with no setup fee. That matters when your document volume grows, but also when it peaks, think of a logistics company processing twice as many CMRs during peak season. The cloud scales with you without ordering additional servers. Tiered pricing per document also makes total cost of ownership predictable: you pay for what you process, not for capacity that sits idle nine months a year.
When is on-premise or hybrid processing the better choice?
There are three situations where cloud document processing is less straightforward. First, data localisation requirements: certain sectors, such as defence, government or specific sub-markets in chemicals, impose contractual or legal requirements on where data is physically stored. In those cases, a fully cloud-based platform is often not an option without additional certification. Second, legacy ERP integrations: if your ERP is only reachable via a local network and offers no external API, cloud integration requires additional custom work or an intermediary layer, which raises both costs and lead times. Third, structurally sensitive document content: a small number of companies process documents containing business-critical specifications or customer data that the board or legal department will not approve for cloud storage, regardless of the provider's security certificates. In those cases, a hybrid approach, where recognition happens locally and only the structured output goes to a central environment, is often the compromise that works.
What about data security in cloud document processing?
This is the question that comes up most often, and rightly so. The security of a cloud solution depends entirely on the agreements the provider makes regarding data processing, storage and model training. At dottle, customer documents are not used to train models; your data stays yours. That is a fundamentally different position from platforms that use your documents as training data for shared models. With any provider, check: ISO 27001 certification, a GDPR data processing agreement, data location (EU or outside the EU), and whether your documents contribute to model improvements for other customers. For most logistics and wholesale companies, the standard security measures of a serious cloud provider are stricter than what they would put in place on-premise.
What does cloud document processing cost compared to on-premise?
On-premise comes with higher upfront fixed costs: servers, licences, an implementation project and internal management. Cloud has lower startup costs and variable operational costs per document or per month. For an SMB processing a few thousand documents per month, cloud is almost always cheaper in the first year. Only at very high volumes, tens of thousands of documents per month with stable, peak-free patterns, can an on-premise investment pay itself back over multiple years. The hidden costs of on-premise are updates, security patches, downtime and the internal hours all of that consumes. Factor those into your comparison, because they are real but rarely made explicit in quotes. If you want to explore the trade-off specifically for document AI technology in more depth, the post on cloud document AI versus on-premise document processing covers the AI-specific aspects in greater detail.
Integration: how does cloud document processing connect to your systems?
A cloud platform that reads documents but cannot get the data into your working system has little value. Integration capabilities are therefore a decisive criterion. Good cloud solutions connect via API to common ERP systems such as SAP, Dynamics 365 Business Central, Exact, AFAS Profit or sector-specific systems like Transpas and WinSped. When evaluating providers, always ask: is the connection a ready-made connector or custom work? Who manages the connection if my ERP's API changes? How long does the initial integration take? For standard systems, a working connection within two weeks is achievable. For less common or heavily customised systems, expect longer lead times, even in the cloud.