Energy Bill OCR
Designed to help operations teams save time, improve data accuracy, and streamline workflows, providing a reliable solution for automated energy bill processing and real-time data access.
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Extract complete billing and usage information
Automatically pull key data fields such as energy usage, billing dates, amounts, taxes, and tariffs—without manual entry.
Works with any utility provider
Handle invoices from thousands of energy companies, across states and formats, including PDFs and phone captures.
Smart parsing of complex tables
Extract meter readings, rate breakdowns, and tiered pricing from usage tables with multi-line support.
Maxime Rihouey
Lead ML Engineer, Spendesk
Designed for software integration:
Developer-first API
Clean endpoints, great documentation, sandbox mode, and webhook-ready.
Scales with your platform
From a few hundred uploads to millions of bills—our infrastructure grows with your use case.
Input flexibility
Supports PDF, scanned documents, and mobile photos—even partial or noisy inputs.
Cloud or on-premise
Choose hosted or self-hosted deployment to fit your compliance needs.
Mindee helps energy tech companies and utilities digitize bills fast and accurately:
- Reduce friction in onboarding and verification
- Capture usage data, charges, and tax information
- Parse multi-page statements with complex layouts
- Validate customer identity with billing data
- Integrate meter data into dashboards and CRMs
- Free up teams from repetitive back-office tasks
Transform your workflow with:
One-click utility verification
Use energy bill data to validate customer identity or usage claims in real time.
Billing automation
Feed accurate utility data directly into billing systems, platforms, or CRMs.
Meter insights at scale
Extract trends, pricing tiers, and load profiles across large datasets.
ESG and energy management ready
Use OCR data to drive sustainability metrics, carbon tracking, and audits.
Mindee automates energy bills so your teams can move faster and reduce errors:
- Document parsing for electric, gas, and water bills
- Data capture from service address to consumption units
- Verification of billed vs. metered usage
- System syncing to update user profiles and billing records
- Exception alerts for missing or abnormal data
- Audit trails for compliance, reporting, or sustainability tracking
Trained for utility documents
Purpose-built OCR models trained on thousands of real US energy bills.
High accuracy, even on mobile photos
Field-level precision for total amounts, usage, and addresses—even with poor-quality scans.
Plug-and-play
Start extracting data in under 10 minutes with no ML experience needed.
Flexible pricing
Choose usage-based billing or flat-rate enterprise plans.
Secure and compliant
GDPR and SOC2-ready, with encrypted data handling by default.
Trusted by energy innovators
Used by green tech platforms, utility providers, and B2B energy apps across the US and EU.
energy bills
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Frequently Asked Questions
Common questions about our intelligent document processing solutions.
How can I test the Energy Bill OCR API?
Our Energy Bill API is free to use and available to any user having an account on our platform.
To test our APIs, you only have to create a free account using this link, and you'll be able to drag and drop Energy Bills in the live interface to see the data extracted in real-time and JSON response. A demo page is also available here.
Is Mindee's Energy Bill OCR API free to use?
A free plan is available to everyone and allows you to perform 250 Energy Bills processing per month for free. No credit card is required.
Above 250 Energy Bills per month, the price per Energy Bills processed starts at $0.10 and can decrease to $0.01 per Energy Bills depending on the monthly volume. See the pricing page for more information.
Energy Bills OCR : What are the supported countries?
What are the supported countries?
Our Energy Bills OCR API is based on our computer vision technology that doesn't rely on text to extract the Energy Bills data, but only on the image. This removes the language limitations.
The OCR was trained with Energy Bills from more than 50 countries and works on bills of lading from all around the world for numeric fields, and all Latin alphabet countries for text ones.
Energy Bills OCR : How complicated is it to integrate the API?
How complicated is it to integrate the API?
Mindee's API follows HTTP standards in order to allow any developer to integrate the Energy Bill OCR API into their applications easily.
We also offer a set of client libraries in all the main back-end languages, and an open-source UI toolkit that helps create front-end features. You can check out our open-source repository or our API documentation for more details.
Energy Bill OCR : What is the OCR accuracy?
What is the OCR accuracy?
Our Energy Bill OCR's accuracy is above 90%, with precision above 95% for most of the fields. These performances are computed on a data set including more than 50 countries.
Testing our OCR API is free, all you need is an account. Feel free to drop Energy Bills in the live interface to see the OCR performance on your data.
Energy Bill OCR : What's the average API response time?
What's the average API response time?
The processing time is around 1.3 seconds per page for pdfs and 0.9 seconds for a Energy Bill image.
We often improve this processing time and our target is below 500ms. Our goal is to make sure you can create real-time user experiences in your application.
Energy Bill OCR : Does the OCR work on low-quality images?
Does the OCR work on low-quality images?
Yes, the OCR was trained on a lot of Energy Bills from a wide variety of layouts and image quality and learned to process the most complex ones.
We also use data augmentation to make sure that no blur or ink stains prevent the OCR from reading the data as long as it's readable.
Do you offer technical support?
We have a Slack community where you can ask your questions and chat with our team.
We don't do the integration in your infrastructure ourselves but we can set up a custom level of support on a per-case basis if needed.