Document extraction tools are easy to find and hard to evaluate — most look similar in a demo. Here's what we think actually matters once you're using one for real work.
Does it tell you when it's unsure, or just guess?
Automated extraction will occasionally misread a figure or miss a field. A tool worth trusting should make it easy to spot and verify the output against the source document, not present every result with false confidence. We built SwiftTrail's workflow around checking the extraction against the original — because we'd rather you catch a mistake than not know to look.
Where does your data actually go?
Ask what happens to the documents you upload: who processes them, where they're stored, how long they're kept, and whether they're used to train someone else's AI model. You should be able to get a straight answer, not a vague reassurance. SwiftTrail publishes exactly this in our Privacy Notice, Data Processing Addendum and Subprocessor List.
Is there an actual audit trail?
If you ever need to answer "who touched this document, and when" — for a client, an auditor, or your own peace of mind — you need a real log, not your memory of what happened. SwiftTrail logs every document upload, processing event and export, scoped to your organization.
Does it only do one narrow thing, or can it grow with you?
A tool built around one document type for one industry tends to hit a wall. Worth asking whether the underlying technology generalizes, or whether you'll be back to manual work the moment your needs change.