Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Pull every financial figures value out of any financial statements — 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 financial figures out of a financial statement by hand is slow, and it is exactly where a mistake slips through. A financial statement — income statement, balance sheet, cash-flow — arranges revenue, expenses, assets, liabilities, and equity into line items and subtotals that every preparer labels and nests differently, so an analyst spreading a company re-keys the whole statement.
Docusift reads the entity, the reporting period, and every line and subtotal off an income statement, balance sheet, or cash-flow statement into structured rows that map to a standard chart, so spreading starts from clean figures.
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 financial figures route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Line | Current | Prior |
|---|---|---|
| Revenue | 1,284,000 | 1,096,000 |
| Gross profit | 512,000 | 438,000 |
| Operating income | 184,000 | 142,000 |
| Net income | 131,000 | 98,000 |
{
"document_type": "financial_statement",
"statement": "income_statement",
"entity": "Northwind Manufacturing",
"period": "FY2025",
"lines": [
{ "label": "Revenue", "current": 1284000, "prior": 1096000 },
{ "label": "Gross profit", "current": 512000, "prior": 438000 },
{ "label": "Net income", "current": 131000, "prior": 98000 }
],
"confidence": 0.96
}No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
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.
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Upload the financial statements to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every financial figures value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
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 financial statement from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
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.
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
Docusift reads each financial statement 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 financial figures route to human review automatically instead of landing unchecked.
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
Free tier includes 100 pages per month. No credit card required.
Start free — no credit card