Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Utility Bills extraction
Extract Usage and charges from Utility Bills
Pull every usage and charges value out of any utility bills — 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 usage and charges out of an utility bill by hand is slow, and it is exactly where a mistake slips through. Utility bills are a proof-of-address and expense staple, but every provider designs its own layout, and the amount due, usage, and service period hide among promotional messaging and payment stubs. Onboarding and expense teams end up reading each one by hand.
Docusift pulls the provider, account number, service address, billing period, metered usage, and amount due from any utility bill layout — power, water, gas, or telecom — into clean fields ready for expense or KYC workflows.
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 usage and charges route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Field | Value |
|---|---|
| Provider | Duke Energy |
| Service address | 2140 Foundry Rd, Toledo OH |
| Billing period | 2026-03-15 to 2026-04-14 |
| Amount due | 182.44 |
Example structured output
{
"document_type": "utility_bill",
"provider": "Duke Energy",
"account_number_masked": "****3092",
"service_address": "2140 Foundry Rd, Toledo, OH 43604",
"billing_period": "2026-03-15 to 2026-04-14",
"usage_kwh": 1420,
"amount_due": 182.44,
"due_date": "2026-05-05",
"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 usage and charges from utility bills?
Upload the utility bills to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every usage and charges 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 usage and charges from utility bills 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 utility bill from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned utility bills?
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 usage and charges 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 usage and charges?
Docusift reads each utility bill 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 usage and charges 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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