Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Checks extraction
Extract Payee and amount from Checks
Pull every payee and amount value out of any checks — 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 payee and amount out of a check by hand is slow, and it is exactly where a mistake slips through. A check carries the amount twice — in figures and in written words — plus the payee, date, memo, and the MICR line with routing and account numbers, and a deposit or payment record that mis-reads any of them becomes a reconciliation problem.
Docusift reads the payer, payee, check number, date, both amount fields, the memo, and the masked MICR routing and account numbers into structured data, so check capture reconciles cleanly against the ledger.
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 payee and amount route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Field | Value |
|---|---|
| Payee | Ironline Fabrication |
| Amount | 1,284.00 |
| Check no. | 1043 |
| Routing / Acct | ****0219 / ****4471 |
Example structured output
{
"document_type": "check",
"payer": "Northwind Manufacturing",
"payee": "Ironline Fabrication",
"check_number": "1043",
"date": "2026-04-18",
"amount": 1284.00,
"amount_words_match": true,
"routing_masked": "****0219",
"account_masked": "****4471",
"confidence": 0.97
}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 payee and amount from checks?
Upload the checks to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every payee and amount 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 payee and amount from checks 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 check from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned checks?
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 payee and amount 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 payee and amount?
Docusift reads each check 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 payee and amount 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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