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OCR · Energy & Utilities

Meter reading: Datasets & Models

Automatically read numeric values from utility meters using computer vision OCR. Takes a photo of an electric, gas, or water meter and extracts the digits from the display.

Meter reading example
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Meter reading

This workflow reads numeric register values from utility meters by locating the display region in an image and applying OCR to transcribe the visible digits. It takes a photo of an electric, gas, or water meter as input and works with both mechanical dial registers and digital LCD readouts, making it suitable for teams building on a utility meter dataset.

Try it out

Powered by general detection model

Run on custom image

Drop an image here or click to upload

Detecting classes:

Why automate meter reading

Manual meter reading is slow, error-prone, and hard to audit at scale across an energy and utilities service territory. Transposed digits, misread values, and inconsistent photo evidence lead to billing disputes and costly re-visits. Automating the read with an OCR / document model turns any meter photo into a validated number with an image record attached, cutting transcription mistakes and freeing field staff for exceptions rather than routine data entry.

Key benefits

Teams get faster, more consistent reads with a captured image for every value, which simplifies audits and dispute resolution. The model works with existing smartphone cameras and fixed metering hardware, and it scales from a single route to an entire utility meter dataset spanning thousands of installations. Starting from a labeled dataset lets you fine-tune for your specific meter types and mounting conditions.

How to use it

  1. Upload an image: Drop any photo into the widget above to try meter reading for free, right on this page.
  2. Preview instant results: The model detects electric meter, gas meter, water meter, meter display, digit within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
  3. Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train OCR / document model on your own images for production accuracy.
  4. Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model

Recommended model for meter reading

When you're ready to build a production model for meter reading, we recommend training OCR / document model. Unlike the ready-to-use model in the demo above, you fine-tune it on your own labeled images for higher accuracy, then deploy to a Serverless Cloud API endpoint.

Train your own model
Roboflow Agent

Not sure where to start?

Describe your Meter Reading project to Roboflow Agent.

Agent