← Supported bills

Pennsylvania American Water

· USA

UtilityBillParse extracts structured data from Pennsylvania American Water bills — service address, account number, billing period, line-item charges, usage in units, meter reads, taxes, and totals — and returns clean CSV, JSON, or Excel.

Upload a single PDF or thousands at once. Every field is reconciled against the bill total so you can trust it in audits, year-end reporting, and ESG disclosures.

Avg. accuracy

99.4%

Avg. parse time

8s

Output formats

CSV · JSON · XLSX

What we extract from Pennsylvania American Water bills

  • Service address & account number
  • Billing period (start / end / due date)
  • Usage in units (total + per-tier)
  • Line-item charges & rates
  • Taxes, fees, and surcharges
  • Meter reads (previous / current)
  • Demand charges (where applicable)
  • Bill total — reconciled to the printed total

Supported Pennsylvania American Water bill formats

Native PDFs, scanned PDFs, and photos (JPG, PNG, HEIC). OCR runs automatically on scans and photos. Upload one bill or batch up to 1,000 at a time via the dashboard or REST API.

FAQ

Does UtilityBillParse support Pennsylvania American Water?
Yes. Pennsylvania American Water is a fully supported provider in USA. Upload a PDF, scan, or photo and we return clean structured data within seconds.
What fields does the parser extract from Pennsylvania American Water bills?
Service address, account number, billing period, line-item charges, taxes and fees, usage in units, meter reads, demand charges where applicable, and the bill total — all reconciled against the printed total.
How accurate is parsing for Pennsylvania American Water?
99.5%+ field-level accuracy on supported Pennsylvania American Water bill formats, validated against the printed totals on every parse. Low-confidence rows are flagged for human review.
Which output formats are available for Pennsylvania American Water bills?
CSV, JSON, JSONL, and Excel (XLSX). Push directly to Snowflake, BigQuery, Redshift, Postgres, or webhooks via the REST API.