Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Credit Notes extraction
Extract Credit amounts from Credit Notes
Pull every credit amounts value out of any credit notes — including scans and multi-page variants — into clean structured JSON. Each value carries a confidence score and a citation back to its source pixel.
Pulling credit amounts out of a credit note by hand is slow, and it is exactly where a mistake slips through. A credit note reverses part of an invoice, but it references the original invoice number, lists only the credited lines, and carries a negative total that AP has to match back to the right open bill — easy to misapply by hand.
Docusift extracts the vendor, credit note number, the referenced invoice, and each credited line, so the credit applies against the right invoice automatically instead of by manual lookup.
Each extracted value ships with a per-field confidence score and a citation back to the exact spot on the page it was read from, so low-confidence credit amounts route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Line | Description | Qty | Amount |
|---|---|---|---|
| 1 | Steel bracket, 40mm (returned) | 20 | -43.00 |
| 2 | Restocking adjustment | 1 | -6.45 |
Example structured output
{
"document_type": "credit_note",
"vendor": "Ironline Fabrication",
"credit_note_number": "CN-2041",
"original_invoice": "INV-20418",
"line_items": [
{ "description": "Steel bracket, 40mm (returned)", "quantity": 20, "amount": -43.00 }
],
"total": -49.45,
"confidence": 0.98
}Why teams choose Docusift
A confidence score on every field
Every value ships with a confidence score and a citation back to the source pixel in the original document, so low-confidence fields route to review instead of landing unchecked.
Fast turnaround
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Privacy first
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Frequently asked questions
How do I extract credit amounts from credit notes?
Upload the credit notes to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every credit amounts value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
What is the best way to pull credit amounts from credit notes automatically?
The best way is a tool that reads layouts visually rather than matching templates. Template tools break when a vendor changes their format; Docusift parses each credit note from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned credit notes?
Yes. OCR, layout analysis, and field extraction run in a single pass, so scans, mobile photos, and native PDFs use the same endpoint and reach the same accuracy bar.
Can I push the extracted credit amounts into my own system?
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
How accurate is Docusift at extracting credit amounts?
Docusift reads each credit note visually rather than matching a template, and every extracted value ships with a per-field confidence score and a citation back to the source pixel — so low-confidence credit amounts route to human review automatically instead of landing unchecked.
Do I need to train a model first?
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
How is pricing calculated?
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Can Docusift handle scanned or photographed documents?
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
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