Utility Bill Emissions Tagger

How Utility Bill Emissions Tagger works

Press Load model once: your browser downloads Gemma 4 E2B instruction-tuned (web build) (2.0 GB) from this site and keeps it in its cache. Then add your text and press Analyze locally. The model runs on this device using your graphics card, so nothing you enter is sent to a server. Until the model is loaded, or if your device cannot run it, the tool falls back to a simple keyword check and labels the result as the fallback.

Gemma 4 E2B instruction-tuned (web build) is a small open language model from Google. The tool sends it the instruction below plus your text, asks for a JSON answer with fixed fields, and shows each field as a card. It runs at temperature 0, so the same input gives the same answer on the same device, though different graphics cards can word it slightly differently.

Inputs longer than 6,000 characters are cut to that length before they reach the model, and the result says so. The model only sees what you paste: it does not look anything up.

The instruction the model gets

You read utility bill notes and tag each energy source that matters for an emissions estimate: electricity, natural gas, propane, heating oil, and any fuel mix or renewable share. Do not add, subtract, multiply, average or convert any numbers; copy every figure exactly as written. Do not estimate emissions; a calculator does that.

What it returns

• Usage by source: One entry per energy source, written as 'Source: quantity unit', copied exactly.
• Billing period: The billing dates or period as written, or an empty string if none.
• Supply mix: Any generation mix, renewable share or green tariff named, with percentages as written.
• Missing for an estimate: Facts an emissions calculator would still need, such as location, supplier or units.

Worked example

The model's output for the built-in sample, recorded on a desktop browser. Your run may word things slightly differently.

Utility bill notes: 842 kWh electricity, 36 therms gas, supplier mix includes 38% natural gas and 22% wind, billing period Jan 4-Feb 3.

Usage by source

Source: 842 kWh electricity Source: 36 therms gas

Billing period

Jan 4-Feb 3

Supply mix

natural gas 38% wind 22%

Missing for an estimate

None found

The model

The files are served from this site, versioned so a cached copy is never stale. Nothing is fetched from a third party while you use the tool.

Limitations

• Small language models make mistakes: they can miss an item, merge two, or state something more confidently than the text supports. Check the result against your input before you rely on it.
• It needs WebGPU and about 8 GB of memory, so it is offered on desktops and laptops, not on phones and tablets. Devices that cannot run it get the keyword fallback, clearly labelled.
• Results describe the input you gave, not the real-world situation behind it. Review them yourself before acting.

Good uses

• Triage climate and sustainability notes before deeper review
• Prepare consistent labels for repeat workflows
• Reduce manual sorting on small batches
• Keep sensitive drafts in the browser preview