AI extraction of dates and amounts: reliable data without re-keying
AI fills in the record. You check dates, amounts and notice periods. Less copy-pasting, more useful decisions.
Re-keying is the number one hidden cost of document processing. AI extraction reads the content and proposes the record’s fields — a core use of AI for business documents.
What actually gets extracted
- Business identifiers (reference, contract number)
- Parties (supplier, customer, signatories)
- Dates (signature, effective date, end date, notice period)
- Amounts and currencies
- Proposed status (draft, pending approval) depending on the process
Reliable without slowing down
Extracting everything does not mean trusting everything. Critical fields go through human confirmation — especially amounts and deadlines. See confidence score and governance.
A measurable gain
Measure the time from receipt to a complete record, and the rate of human corrections. That is the basis for a credible document AI ROI — before scaling up the volume.
Frequently asked questions
- Which fields should be extracted first?
- Type, parties, document date, effective date, expiry or notice period, amount, currency — depending on the type of document.
- What if the amount is ambiguous?
- Always double-check high-stakes fields. The confidence score and the highlighted source area help you focus.
- Does extraction replace OCR?
- No: OCR provides the text; extraction structures the fields. The two run one after the other on scans and photos.
Complete the record without re-keying
Upload a PDF to DocPilot: DocpilotAI proposes dates and amounts, you confirm.
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