Browse recorded workouts
Lists recent HealthKit workouts on iPhone with activity type, date, duration, and distance — from 40+ activity types including running, cycling, and swimming.
Your Apple Health data — on your terms
Own your workout data.
Export Apple Health and Apple Watch workouts as GPX, TCX, CSV, JSON, and PDF. Analyze, archive, migrate, or share your workout history — without subscriptions or cloud services.
Fully localNo account, no sync service, no required backend.
Coach-grade analyticsZones, drift, splits, and signal quality.
Share anywhereAirDrop, Files, Mail, Messages, or any share target.
8export formats
30+analytics metrics
100%on device
$4.99one-time, no subscription
What the app does
Browse your workouts, analyze them with coach-grade metrics, and export clean, usable files — including AI-ready summaries and PDF reports.
Analyze like a coach
Heart-rate zones, cardiac drift, splits, percentiles, target-band occupancy, behavioral segments, and signal quality — computed on device.
Export in eight formats
JSON, GPX, TCX, two CSV layouts, a single-page PDF report, plus AI Training Summary and AI Model JSON for large language models.
AI training summaries
Package a session into Markdown or compact JSON built for ChatGPT and Claude, so you can ask an LLM to review a workout like a coach.
Track progress over time
Visualize duration, distance, average speed, and energy trends per workout type. Filter by preset periods or a custom date range.
Polished PDF reports
Generate single-page PDF reports for an individual workout or a whole training period — with route map, charts, and stats.
iOS 18 or later
Physical iPhone required for real HealthKit data
Apple Watch workouts supported through HealthKit
One-time purchase, no subscription
Eight export formats
Pick the format for what you do next — analysis, platform import, archiving, a printable report, or AI coaching.
Full raw data
Lossless HealthKit dump — metadata, route points, events, and per-type samples. Best for Python, notebooks, and archiving.
Route + heart rate
GPX 1.1 with heart-rate track extensions. Loads into mapping tools and most fitness platforms.
Training platforms
Structured workout with route, HR, power, and cadence. Imports into Strava, Garmin Connect, TrainingPeaks, and Golden Cheetah.
Summary
Workout metadata, coverage, and per-sample-type statistics in a tidy four-column layout for spreadsheets.
Samples
All raw time-series samples — heart rate, pace, power, cadence, altitude — flattened to rows for custom analysis.
Workout report
A single-page printable report with route map, summary cards, metric charts (with HR median & P90), and a sample stats table.
AI Training Summary
Dense, human-readable analysis built to paste into ChatGPT or Claude for coaching feedback on a session.
AI Model JSON
A compact, schema-versioned JSON with a piecewise HR curve and structured metrics — purpose-built for LLM APIs.
Coach-grade analytics, on device
Every analytic is computed locally from your HealthKit samples and folded into the AI and PDF exports.
Heart-rate zones
Three models — percent-max HR, Karvonen (with resting HR), and Friel (with lactate threshold). Time and percentage per zone.
HR percentiles
Time-weighted p25, p50 (median), p75, p90, and p95 for a true distribution, not just min/avg/max.
Cardiac drift
First-half vs second-half HR, and pace-to-HR decoupling when pace is available — the classic aerobic durability check.
Splits
Per kilometer or mile, with pace normalized to /km plus optional per-split heart rate and elevation gain/loss.
Target-band occupancy
Time in, above, and below your prescribed HR band — with excursion episode counts and longest streaks.
Signal quality
Heart-rate coverage percentage, dropout count, and longest gap, so you know how much to trust the numbers.
Behavioral segmentation
Automatic warmup, steady, surge, recovery-walk, and cooldown labeling for runs and walks.
Recovery effectiveness
How well heart rate recovers during walk breaks — start-vs-end HR per recovery segment.
Assessments
Plain-language, rule-based callouts on drift, occupancy, recovery, and ceiling violations against your intent.
Built for AI coaching
Two exports turn a workout into something a large language model can reason about. Generated on device — you decide where they go.
AI Training Summary — Markdown
# AI Training Summary — Running — Apr 14 ## Context - Activity: Running (outdoor) - Duration: 1:15:11 · Distance: 6.16 km - Goal: Aerobic Base · Target band: 130–150 ## Heart Rate - Avg 137 · Max 157 · Median 138 - p90 151 · Coverage 99.4% ## HR Zones (% max) - Z2 41% · Z3 38% · Z4 16% ## Cardiac Drift - PA:HR decoupling 4.8% ## Assessment - Aerobic base session; drift in range
AI Model JSON — compact, schema-versioned
{
"schema_version": "workout-ai-model-v1",
"context": {
"activity_type": "Running",
"duration_seconds": 4511,
"goal": "aerobic_base"
},
"raw_summary": {
"avg_hr": 137, "max_hr": 157,
"percentiles": { "p50": 138, "p90": 151 }
},
"signal_quality": {
"hr_coverage_percent": 99.4,
"dropout_count": 0
},
"heart_rate_curve": {
"type": "piecewise_linear",
"point_count": 42,
"sample_count": 901
}
}
Representative output. Exports are generated locally and never sent to any AI service by the app — you choose whether to share them.
Track progress & print reports
See training trends per workout type in the app, then export a polished single-page PDF for any period.
In the app
Browse workouts, inspect interactive charts and routes, then export or share in a tap.
Setup & first export
The only required setup is Health access. Once authorized, the app reads your workouts locally and prepares exports through the standard iOS share sheet.
1
Open the app
Launch Workout Exporter on your iPhone. It requests read-only Health access on first use.
2
Allow Health access
Enable workout and sample access in the iOS Health permission sheet so the app can load your sessions.
3
Pick a workout
Choose a session, review the summary and charts, then open the export menu and pick from eight formats.
4
Share the file
Use AirDrop, Save to Files, Mail, or paste an AI summary into ChatGPT or Claude.
Supported workouts & data
Exports reflect exactly what HealthKit recorded for each session.
40+ activity types
Running, walking, hiking, cycling, swimming, rowing, elliptical, strength, HIIT, yoga, and dozens of sports. Aerobic activities get the full analytics stack.
Metrics read
Heart rate, distance, active/basal energy, running & cycling power, speed, cadence, stride length, vertical oscillation, ground contact time, swimming strokes, and route (GPS).
Configurable inputs
Set max HR, resting HR, and lactate threshold for accurate zones; choose km or miles; add custom HR thresholds; capture per-export goal and target band.
Troubleshooting
Most issues come down to Health permissions, the iOS environment, or a workout that has no route or associated samples.
No workouts appear
Confirm read access in Settings > Health > Data Access & Devices, and that the workouts exist in Apple Health on that iPhone.
Export has no route
Some workout types have no GPS data. Indoor strength, yoga, and stationary sessions export without route points, which is expected.
Analytics look sparse
Zones need a max HR set in Settings; drift and splits need pace or distance; signal quality flags low HR coverage so you know why.
Does not work in Simulator
HealthKit workout queries are not useful in the iOS Simulator. Use a physical iPhone with real Health data.
Share sheet shows no destination
Scroll the share sheet, check AirDrop is enabled, or save the export to Files and move it from there.
Workout looks incomplete
Not every workout records every metric. The export reflects what HealthKit has, so some sample groups may be empty.
Support FAQ
What data is read, where files go, which devices are supported, and how privacy works.
Does the app upload my workout data to a server?
No. It works on device. Data only leaves your phone when you explicitly export and share a file. The AI exports are generated locally too — the app never sends anything to an AI service.
What are the AI exports for?
The AI Training Summary (Markdown) and AI Model JSON package a workout into a format built for large language models, so you can ask ChatGPT or Claude to analyze a session like a coach.
Is the app free?
No — it is a one-time purchase of $4.99, with no subscription and no in-app purchases.
Which export format should I use?
JSON for analysis and archiving, GPX for routes, TCX for fitness platforms, CSV for spreadsheets, PDF for a printable report, and the AI formats for LLM coaching.
Why do some workouts show fewer metrics?
HealthKit records different data by workout type, hardware, and sensors. The exporter only includes what exists for that session.
Privacy & data handling
The privacy story is simple: the app reads workout data to build exports and does not require an online account.
What the app accesses
Read access to workouts and the HealthKit samples needed to build exports — route, heart rate, energy, distance, cadence, and power when present.
How your data is used
Only to display workouts and create the export file you request. All processing — including the AI summaries — happens on device. No sign-in; designed to operate offline.
For the full legal version, see the Privacy Policy.