Energy & utility invoice OCR API
Utility invoices bundle meters, time-of-use rates, renewable levies, and cryptic line items on every page. Our document AI reads supplier PDFs and customer scans alike—so you can reconcile spend, prove renewable share, and onboard sites faster than any manual queue allows.
Meter readings and consumption you can trust
Pull kWh, m³, peak/off-peak splits, and prior-period comparisons as numbers—not eyeballed from a graph on page two.
Tariffs, standing charges, and pass-through fees
Separate unit rates, capacity blocks, grid fees, and taxes so finance sees true energy cost instead of one lump total.
Site and account identity at scale
Capture account numbers, contract or point-of-delivery IDs, service addresses, and bill-to names for multi-site portfolios.
Real-world documents, not perfect templates
Handle photos, scanned post, multilingual headers, and supplier redesigns without rebuilding rules every tariff season.
How it works
Get from a raw document to structured JSON in three simple steps.
Choose or Upload
Choose OR Upload your own document to generate an schema from it
Customize the Schema
curl -X POST "https://tiny-idp-api-338302005544.europe-southwest1.run.app/api/extractors/run/YOUR_EXTRACTOR_ID" \
-H "x-api-key: YOUR_API_KEY" \
-F "files=@/path/to/your/document.jpg"Start Extracting
Try it with a sample energy invoice or your own bill
Upload an electricity or gas invoice and watch consumption, charges, and account data come back structured. Shape the schema so your ESG, procurement, and finance systems all speak the same language.
Playground: Create from a document
Upload any document and our AI will design a custom extractor tailored to it.
Input Document
Upload your own
PDF, PNG, JPG
Output & Integration
Ready for production?
Get an API key to start extracting data from your documents in production.
Start from scratch
Know exactly what you need? Define your own JSON schema manually.
Why automate energy or utility invoice documents?
Energy invoices are some of the densest documents in operations: they mix account metadata, meter snapshots, time bands, regulated surcharges, and payment instructions in layouts that change whenever a supplier rebrands or a regulator updates a tariff component. Teams reconciling dozens or hundreds of sites still copy values into spreadsheets—work that drifts the moment someone misreads a decimal or picks the wrong line item.
Automating utility bill extraction closes the loop between what you consume and what you pay. Faster invoice matching, accruals that reflect real usage, and cleaner hand-offs to sustainability reporting (renewable certificates, emissions factors tied to periods and sites) all depend on structured fields, not PDF attachments in inboxes.
With a schema you control, you normalize what each retailer calls the same concept—standing charge vs. fixed fee, climate levy vs. green premium—and keep pace when new charges appear. That is the difference between a one-off OCR demo and a process that survives the next regulatory bulletin.
90% Faster
Reduce processing time from minutes to seconds.
Higher Accuracy
Eliminate manual entry errors and typos.
What fields can be extracted from a energy or utility invoice?
You can extract supplier identity—trading name, legal entity, VAT or tax IDs, remittance and customer-service contacts—and customer or site data: billing address, service location, account or contract number, meter or POD/MPAN-style identifiers, and tariff or product names when printed. For the billing window you can capture invoice and issue dates, reading dates, billing period start and end, payment due date, and payment references. Usage sections typically yield active energy (kWh by register or time band), reactive or demand charges when listed, gas volume (m³) or converted kWh, opening and closing meter readings, loss factors, and comparisons to last year or budget. Financial lines may include standing charges, capacity or subscription fees, unit prices, energy commodity amounts, network and system operator charges, environmental or renewable levies, discounts, taxes, amount due, and currency. With a custom schema you can map regional labels to canonical fields, split multi-register bills, and flag anomalies for human review.
Commonly extracted fields include:
Simple, Transparent Pricing
No hidden fees. No monthly minimums. Pay only for what you extract.
Usage-Based
Simple pay-as-you-go pricing. No monthly commitment.
Enterprise
Tailored pricing for high-volume scenarios. Get SLA guarantees, on-premise deployment, and dedicated support — reach out and we'll put together a plan that fits your scale.
All prices exclude VAT. Volume discounts apply automatically.
Enterprise-grade Compliance & Security
We take data privacy seriously. Tiny IDP is built from the ground up to meet the strictest European data protection standards.
Zero Data Retention
We don't store your documents, images, or predictions. Data is processed in-memory and immediately discarded.
GDPR Compliant
Full compliance with European data protection regulations (GDPR) for your peace of mind.
EU-Based Infrastructure
All data is processed and hosted exclusively in secure European data centers.
Do you need a custom OCR?
We support custom extractors! Define your own fields, rules, and logic to extract data from any type of document.