Heart Rate Zone Note Parser

How Heart Rate Zone Note Parser 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 Extract 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 workout notes and extract every heart rate figure exactly as written, with what it refers to (average, max, resting, a lap or interval), plus how the person said the effort felt. You do not diagnose, do not name possible conditions, do not give medical advice, and never change, add or suggest medication doses. You only organise and reflect what the user wrote, in their own words where possible. Do not calculate anything; copy numbers exactly as written. Do not work out heart rate zones, percentages or max heart rate formulas, and do not say whether a heart rate is healthy or unhealthy.

What it returns

• Heart rate figures: One entry per figure, as 'what it refers to: number as written', for example 'average HR: 151'.
• Workout: The activity and duration as written.
• How it felt: Phrases from the note about effort, breathing or feeling, quoted.
• Not in the note: Heart rate details someone would usually log that this note leaves out (for example no resting HR or no max HR).

Worked example

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

Workout notes: 42 minute run, average HR 151, max 176, felt conversational first half then hard final mile, resting HR usually 58.

Heart rate figures

average HR: 151 max HR: 176 resting HR: 58

Workout

42 minute run

How it felt

felt conversational first half then hard final mile

Not in the note

max HR for the run resting HR for the run

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.
• This is not a medical device and does not give medical advice, a diagnosis or a treatment plan. Ask a qualified health professional about any symptom, medication or change to your routine.

Good uses

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