AI-powered document analysis
Analyze PDFs and scanned files using OCR and intelligent field extraction built for real document workflows.
Spot fraudulent, altered, or suspicious trade documents before they slow down your operation. Fraud Document Detector helps logistics and compliance teams detect suspicious, altered, incomplete, or inconsistent documents earlier.
In global trade, not every problematic document looks obviously fake. Sometimes the real issue is inconsistency, manipulation, duplication, or values that do not fit the expected pattern. Fraud Document Detector helps surface those warning signs before they become operational, financial, or regulatory problems.
Built for teams handling shipping, customs, invoice, and trade documentation workflows where manual review is slow, repetitive, and difficult to scale.
Analyze PDFs and scanned files using OCR and intelligent field extraction built for real document workflows.
Flag suspicious patterns, missing data, unusual values, conflicting fields, and risky submissions for closer review.
Compare key fields across related documents to identify inconsistencies before they create downstream problems.
As document volume grows, manual review becomes slower, less consistent, and harder to prioritize. Fraud Document Detector helps your team focus on the files that actually need attention instead of checking everything line by line.
This is not about replacing human judgment. It is about helping your team spot issues sooner, review documents faster, and make more consistent decisions with better context.
If your team reviews trade documents, shipping paperwork, or high-volume submissions, PortSwift can help you build a faster and safer review process.