Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Timesheets extraction
Extract Hours worked from Timesheets
Pull every hours worked value out of any timesheets — 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 hours worked out of a timesheet by hand is slow, and it is exactly where a mistake slips through. A timesheet totals hours by day, project, and pay type across a week or a month, and payroll and billing both depend on the totals being exact — but every crew, contractor, and system submits the grid differently, so it gets re-entered by hand.
Docusift reads the employee, the period, each day and project line with its hours and pay type, and the totals, so payroll and client billing run off structured hours instead of a retyped grid.
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 hours worked route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Date | Project | Hours | Type |
|---|---|---|---|
| 2026-04-06 | Foundry Rd retrofit | 8.0 | Regular |
| 2026-04-07 | Foundry Rd retrofit | 9.5 | Regular |
| 2026-04-08 | Reno install | 4.0 | Travel |
Example structured output
{
"document_type": "timesheet",
"employee": { "name": "J. Rivera", "employee_id": "E-1180" },
"period": "2026-04-06 to 2026-04-12",
"entries": [
{ "date": "2026-04-06", "project": "Foundry Rd retrofit", "hours": 8.0, "type": "regular" },
{ "date": "2026-04-07", "project": "Foundry Rd retrofit", "hours": 9.5, "type": "regular" }
],
"total_hours": 21.5,
"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 hours worked from timesheets?
Upload the timesheets to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every hours worked 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 hours worked from timesheets 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 timesheet from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned timesheets?
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 hours worked 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 hours worked?
Docusift reads each timesheet 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 hours worked 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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