Automate Utility Statement Processing.
Built for Finance and Accounting Teams.

Electricity, gas, and energy providers each send statements in their own format. Docparser reads them all, extracts account numbers, charges, and meter readings, and delivers structured data to your accounting system or spreadsheet. Your team reconciles faster. The manual entry stops.

14-day free trial · No credit card required · Set up in under 5 minutes

Works with your existing tools

Google Sheets Excel QuickBooks Xero Zapier REST API

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Utility Statement Automation, Whatever Provider It Comes From.

Every utility provider formats their statements differently. Docparser reads them all, pulls the charges and account data your team needs to reconcile, and delivers it automatically — before a missed reading or a misfiled charge throws off your books.

1

Import

Statements In, From Any Provider

PDFs, scanned bills, and email attachments all reach Docparser the same way. Any provider, any format, any volume.


  • PDF statements from email or provider portals
  • Scanned paper bills via OCR
  • Email attachments forwarded directly to Docparser
  • Cloud folder sync: Google Drive, Dropbox, OneDrive, Box
  • Multiple providers processed through separate parsers
2

Parse

Tell It What Your Team Needs to Reconcile

Point at the fields on a sample statement. Docparser builds the extraction rule. Use a pre-built provider template or configure your own for any utility format.


Fields Docparser extracts:

Account Number Account Holder Billing Period Total Amount Due Meter Table Electricity Charges Gas Charges MPAN Network Charges Bill Date Tariff & more
3

Export

Straight Into Your Accounting System

Extracted charge and account data lands in your accounting platform, spreadsheet, or ERP automatically. One statement or a hundred per month, the workflow is the same.


  • Download: CSV, Excel, JSON, XML
  • Direct: QuickBooks, Xero, Google Sheets
  • Custom: Webhook, FTP, REST API
  • Platforms: Zapier, Make, Power Automate, Workato
See all integrations →

Your Provider's Format, Already Mapped.

Utility statements follow a fixed layout per provider. Docparser has already mapped the field positions for major energy companies — pick the one that matches, upload a sample, and your first clean export is ready in minutes.

Browse All Utility Templates →

Con Edison Statement

Account Number · Account Holder · Billing Period · Total Amount Due · Electricity Charges · Gas Charges · Meter Table · Adjustments

Use Template →

NPower Invoice

Account Name · Account Number · MPAN · Invoice Period · Meter Table · Consumption & Capacity Charges · Network Charges · Standing and Metering Charges

Use Template →

EDF UK Statement

Account Number · Account Holder · Bill Date · Supply Address · Meter · Reading · Tariff · Table Data

Use Template →

EDF France Statement

Account Name · Account Number · Billing Date · Total Amount Due · Table Data

Use Template →

Your Provider Not Listed?

The SmartAI Parser uses DocparserAI's OCR engine to read any utility statement format without pre-mapping rules. Upload a sample from any provider — water, electricity, gas, or telecom — and the AI identifies and extracts the fields automatically. No template configuration needed.

Use SmartAI Parser →

Where Utility Statement Processing Actually Slows Down

Utility statement automation looks different depending on your role. Pick the one that matches yours.

Dozens of Utility Accounts. Every Charge Reconciled Before the Due Date.

AP teams managing multi-location businesses receive utility statements from several providers every billing cycle. Each one carries different charges, due dates, and account numbers that need entering before payment runs. Docparser extracts those fields from each statement as it arrives and routes the data to your accounting system. The bills come in different formats. The reconciliation process stays the same.

5 Docparser advanced features for smarter document parsing →

Utility Costs Tracked Across Every Property, Every Provider.

Property managers and facilities teams track utility spend across dozens of locations, each with its own provider and account. Docparser extracts charges, meter readings, and billing periods from each statement and routes the data to a shared spreadsheet or property management system. Cost overruns get flagged before the next billing cycle, not after.

Extract tables from PDF utility statements →

Energy Spend Across Every Site, Captured Without a Manual Spreadsheet.

Retail chains, restaurant groups, and multi-site operators receive a utility statement from every location every month. Each one needs the charges captured for cost allocation and budgeting. Docparser extracts the data from every site's statement and delivers it to a central spreadsheet or ERP, so spend per location is visible without anyone compiling it by hand.

Automating data extraction from documents with Docparser →

Consumption Data for Every Reporting Cycle, Extracted Automatically.

Sustainability and energy teams need consumption data — kWh usage, meter readings, billing periods — for regular reporting. Pulling that data by hand from PDF statements does not scale across a large portfolio. Docparser extracts consumption and meter data from each statement and routes it to the reporting system or spreadsheet your team already uses. The reporting cadence stays. The manual extraction stops.

How structured document parsing supports operational reporting →
All Solutions

Utility Statements Are One Document Type. Your Business Runs on Many.

Docparser handles every document type your business runs on from one workspace. Set up a parser for utility statements today, invoices tomorrow, and bank statements next week. The same rules engine, the same integrations, the same export workflow.

Questions Finance Teams Ask First

Not covered here? The support centre has step-by-step walkthroughs for every scenario.

  • Docparser has pre-built templates for Con Edison, NPower, EDF UK, and EDF France, with fields already mapped for each provider's statement layout. For any other provider — water, electricity, gas, or telecom — the SmartAI Parser or a custom template handles the format without needing a pre-built template.
  • Yes. Utility statements often include a meter table with readings, consumption figures, and rate breakdowns across multiple rows. Docparser uses structure-based extraction rules to pull that table data into clean, structured output — each row as a separate record rather than a single combined field. Learn more at docparser.com/blog/best-software-to-extract-tables-from-pdf.
  • Yes. EDF France statements process in euros with French formatting, while EDF UK and NPower process in pounds. Each provider gets its own parser configured for that statement's currency, date format, and field layout. The output is consistent regardless of the source format — your accounting system receives structured data in the same shape every time.
  • Yes. You set up a separate parser for each provider — one for Con Edison, another for NPower, another for any other supplier. All outputs can route to the same destination, so charges from every provider land in one spreadsheet or accounting system for reconciliation without a manual consolidation step.
  • Docparser exports utility statement data via CSV, webhook, or REST API. QuickBooks and Xero receive structured data through Zapier or a direct webhook. For ERP systems, a webhook or API delivers the data in the format your system expects without a manual import step. See the full list at docparser.com/integrations.
  • Pre-built template (Con Edison, NPower, EDF): under five minutes. New provider format: 15 to 30 minutes with the visual rule builder, no coding. Most users have their first parser running on live statements the same day they sign up.
  • Yes. The SmartAI Parser uses DocparserAI's OCR engine to process any utility statement format without pre-mapping. It identifies and extracts account numbers, charges, and billing data automatically. For consistent, repeatable output from the same provider every billing cycle, a configured template produces more reliable results — but the SmartAI Parser is the right starting point for any provider you haven't mapped yet.
  • Docparser runs on AWS across multiple availability zones. All data is encrypted in transit and at rest. Your documents belong to your organisation — Docparser does not resell or reuse them. You set retention between 0 and 180 days. GDPR compliant, with Standard Contractual Clauses for EU customers. Full details at docparser.com/security.
Get Started

Your Providers Send It.
Your System Reconciles It.

Start your 14-day free trial. Pick a provider from the template library, upload a real statement, and see the extracted data before your team processes another one by hand. No credit card required to start.

14-day free trial · No credit card required · Set up in under 5 minutes