Document detection
Identify document types before applying an extraction path.
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Detect, extract and structure the details that matter from statements and financial documents so teams can work with data, not just files.
READ THE DOCUMENT · KEEP THE CONTEXTEdit the sample document below. A simple browser-only pattern matcher extracts four fields; it is not a production OCR engine. Do not enter personal financial information.
Turn manual document reading into a structured step within the wider financial workflow.
Identify document types before applying an extraction path.
Capture account, period, transaction and balance information in a consistent shape.
Make extracted values available to review and decision workflows.
Estimate the manual reading and entry capacity associated with your monthly document volume.
Monthly documents × reading minutes × 12 ÷ 60. This does not account for extraction errors or human review.
Planning estimate only. Not a product performance claim or guaranteed saving. Excludes implementation costs and adoption effects.InWhiteLine brings together product design, engineering and AI expertise to build technology for modern businesses. SimhOS brings that thinking into a purpose-built fintech platform.
Connect with InWhiteLineConnect systems. Automate workflows. Turn financial data into intelligence.