Solution

Utility bill OCR software that turns scanned bills into source-linked JSON

Utility bill OCR converts scanned and PDF utility bills into machine-readable fields such as account number, billing period, meter reads, usage, demand, tariffs, taxes, line-item charges and totals. Parsepoint adds utility-specific validation, source evidence, and API-ready structured output so OCR results are usable in downstream workflows.

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System handoff

Turn parsed records into clean data for downstream platforms

An integration template focused on moving normalized extraction results into analytics, accounting, and operational systems.

  • Structured output mapped to target systems
  • Consistent schemas across source variance
  • Fast handoff to ERP, CMMS, and data warehouses

Operational fit

Built for utility bill OCR workflows

AI-powered OCR that reads electric, gas, water and telecom bills and returns validated, analytics-ready structured data.

Parsepoint adapts extraction, validation, and handoff steps to your document mix so teams can scale this workflow with less manual effort.

OCR proof

From scanned utility bill to API-ready fields

Utility bill OCR converts scanned and PDF utility bills into machine-readable records. Parsepoint goes beyond raw text by identifying utility-specific values, validating them, and returning source-linked JSON for review or API handoff.

What is utility bill OCR?

Utility bill OCR extracts account numbers, service periods, meter reads, usage, demand, tariffs, line-item charges, taxes, and totals from scanned or PDF utility bills. Parsepoint keeps each extracted field tied to source evidence so teams can review the original bill location before sending JSON records downstream.

How is utility bill OCR different from generic OCR?

Generic OCR usually returns unstructured text. Utility bill OCR must identify bill-specific fields, separate meter and charge rows, preserve units such as kWh and kW, validate totals, and attach source references so finance, energy, and operations teams can trust the exported data.

Need analytics-ready records after extraction? See utility bill parsing.

Example source bill evidence

  • Account: 845-190-22
  • Service period: Jan 01-Feb 01, 2026
  • Meter read: 124,982 previous → 132,416 current
  • Usage: 7,434 kWh
  • Demand: 118.4 kW
  • Total current charges: $1,842.17
FieldExampleSource evidence
Account number845-190-22Bill header
Service periodJan 01-Feb 01, 2026Statement summary
Usage7,434 kWhMeter table
Demand118.4 kWDemand charge row
Total current charges$1,842.17Amount due section

Extracted fields

  • ✓Account number
  • ✓Service address
  • ✓Billing period
  • ✓Meter number
  • ✓Previous and current reads
  • ✓Usage by unit
  • ✓Peak demand
  • ✓Tariff or rate class
  • ✓Line-item charges
  • ✓Taxes, fees and total due

Validation checks

  • ✓Confidence score on each extracted field
  • ✓Usage recomputed from meter reads
  • ✓Billing-period gap and overlap checks
  • ✓Duplicate bill fingerprinting
  • ✓Abnormal demand and charge alerts

Structured output example

JSON
{
  "document_type": "electric_utility_bill",
  "account_number": "845-190-22",
  "service_period": { "start": "2026-01-01", "end": "2026-02-01" },
  "usage": { "value": 7434, "unit": "kWh", "source_ref": "page_2.table_1.row_4" },
  "demand": { "value": 118.4, "unit": "kW", "source_ref": "page_2.table_1.row_5" },
  "total_current_charges": { "value": 1842.17, "currency": "USD", "source_ref": "page_1.amount_due" },
  "review_flags": ["demand_charge_above_trailing_average"]
}