SwingVision Integration

Stream SwingVision data. Straight from the phone.

SwingVision saves tennis, pickleball, and padel matches to Apple Activity and HealthKit from its Apple Watch app — the session, its heart rate, and its calories — and Sahha’s SDK reads them into your app as normalized exercise sessions, alongside every other source.

On-device
Apple Health
iOS
HIPAA
GDPR

Start building Read the SDK docs

Free for 30 days · No credit card

Normalized Auto-synced

Tennis session: 76 min
Heart rate: 128 bpm
Active energy: 512 kcal

Identical schema across 500+ sources

How it works

Your users connect SwingVision. Sahha does the rest.

This is your user’s side of the story — one screen, once. Sahha ingests every SwingVision signal, normalizes, deduplicates, and delivers it to your service — raw, or as refined intelligence your product can act on.

Allow "your app"

Sleep

Activity

Heart rate

Connect

9:41LIVE

82READY

Sleep7h 12m

Steps5,993

Heart rate62 bpm

Your early-riser reward

20% off açaí bowls — today only.

Sahha

Permissions handled

Encrypted in transit

History backfilled

Background sync enabled

Cleaning · deduping · scoring

Raw data logs Biomarkers Scores Insights Archetypes Tags

Real-time webhooks

Always in sync

Query via API

Access controlled

Your service

Waiting for data…

On-device and permissioned

SwingVision data is read on the user’s own device, only after they grant Apple Health permission — nothing syncs without consent.

One integration, every source

Permission is per data type, not per brand. Anything that writes to Apple Health — SwingVision today, a new watch next year — flows through the same SDK with no extra prompt and no new code.

Data coverage

What SwingVision syncs through Apple Health.

Request only what you need
You choose exactly which of these signals to request from Apple Health — users are only ever prompted for those, which keeps opt-in rates high.
One schema, every source
SwingVision, Apple Watch, and Oura all return the same fields and units.
What crosses the bridge
The match as a workout, with its heart rate and active energy pass through Apple Health; some app-exclusive metrics may not.

Activity & exercise

HealthKitSahha

workoutActivityTypeexercise_session_*min
activeEnergyBurnedactive_energy_burnedkcal

Heart & vitals

HealthKitSahha

heartRateheart_ratebpm

See a real payload

HealthKit · workout

{
  "type": "HKWorkoutTypeIdentifier",
  "workoutActivityType": "HKWorkoutActivityTypeTennis",
  "duration": 4560,
  "totalEnergyBurned": { "value": 512, "unit": "kcal" },
  "startDate": "2026-04-11T16:00:00Z",
  "endDate": "2026-04-11T17:16:00Z",
  "sourceRevision": { "source": { "name": "SwingVision" } }
  // …heart rate samples
}

Sahha · normalized

[
  {
    "category": "activity",
    "type": "exercise_session_tennis",
    "value": 76,
    "unit": "minute",
    "periodicity": "session",
    "aggregation": "total",
    "startDateTime": "2026-04-11T16:00:00Z",
    "endDateTime": "2026-04-11T17:16:00Z"
  },
  {
    "category": "activity",
    "type": "active_energy_burned",
    "value": 512,
    "unit": "kcal",
    "periodicity": "session",
    "aggregation": "total",
    "startDateTime": "2026-04-11T16:00:00Z",
    "endDateTime": "2026-04-11T17:16:00Z"
  }
  // …1 more normalized log
]

The write comes from SwingVision’s Apple Watch app. A user who records a match on iPhone alone, without wearing the Watch and running the Watch app, produces no Health data at all — so plan for that gap rather than assuming every SwingVision user is a data source. Shot-level analysis, line calls, and video stay in SwingVision. Whether SwingVision writes on Android is unverified, so this page covers the Apple Health path only.

Missing a metric you need? Talk to us in the Sahha Slack — if SwingVision captures it, we can usually add support.

Get more than just raw data

Sahha turns these signals into biomarkers, scores, archetypes, and insights — the modeling done for you.

Biomarkers

Scores

Archetypes

Insights

Reading Apple Health yourself? Here’s the to-do list.

Everything on the left is yours to write, test, and maintain on iOS. Everything on the right, Sahha already did.

Build it yourself

With Sahha

Every device

Build it yourself

Integrate Apple Health.
Handle iOS version differences.
Add Health Connect separately for Android.

With Sahha

One SDK covers Apple Health, Health Connect, and every cloud source.

Getting the data

Build it yourself

Write the HealthKit queries.
Request the right permissions.
Wire up background delivery.

With Sahha

The SDK handles queries, permissions, and background sync.

Keeping it clean

Build it yourself

Dedupe apps writing the same metric.
Map dozens of HealthKit types.
Reconcile against your Android sources.

With Sahha

Deduped, typed, one schema — one stream per user.

Turning it into insight

Build it yourself

Build a sleep model.
Build an activity model.
Hire a data scientist.

With Sahha

Scores, archetypes, and insights — built in.

Keeping it alive

Build it yourself

Apple changes a HealthKit API.
You find out in production.

With Sahha

We version the SDK. You never notice.

No SwingVision developer account needed — Sahha reads what SwingVision already writes to Apple Health on iOS.

Setup

Live in an afternoon, not a sprint.

# Add the Sahha SDKnpm install sahha-react-native
01
Add the Sahha SDK
Drop the Sahha SDK into your iOS app — or React Native or Flutter. The same SDK also covers Health Connect for your Android sources.
A
Allow “your app”
Sleep
Activity
Heart rate
Connect
02
Prompt for Apple Health permissions
Call the SDK to show the native Apple Health consent sheet. The user chooses what to share — under your brand. It’s one prompt, ever: permission is per data type, not per brand, so every future source is already covered.
Your app LIVE
Sleep7h 12m
Readiness82
Heart rate62 bpm
03
Sahha reads and delivers
Once permission is granted, the SDK reads SwingVision data from Apple Health in the background, normalizes it to one schema, and streams it to your app by webhook or API.

Start building Read the SDK docs

Most teams read live SwingVision data the same day they add the SDK. The only per-source prerequisite: your user has SwingVision’s Apple Health sync switched on — most source apps enable it by default.

Destinations

Route it into your stack.

Sahha streams every update to your webhook — and a step-by-step guide takes it the rest of the way into your database, CDP, or messaging tool.

FAQ

SwingVision integration questions

How does Sahha get SwingVision data?

SwingVision saves matches to Apple Activity and HealthKit, and Sahha reads them from there with its mobile SDK, delivering them as normalized exercise sessions — no SwingVision API to integrate.

Does SwingVision need an Apple Watch to sync?

Yes. The write comes from SwingVision’s Apple Watch app, so a user who films a match on iPhone alone won’t produce any Health data. If health data is core to your product, treat the Watch app as the prerequisite and tell users so during onboarding.

Which SwingVision metrics does Sahha provide?

The match as a workout — activity type and duration — plus heart rate and active energy. Shot-level analysis and video stay in SwingVision; what crosses is the session and what the body did during it.

Does the SwingVision integration work on Android?

Unconfirmed. We’ve verified the Apple Health write path and nothing on Android, so this page is scoped to iOS rather than claiming or denying a Health Connect path we haven’t checked. Your users’ other Android sources still flow through the same Sahha SDK.

Is the SwingVision integration HIPAA and GDPR compliant?

Yes. Sahha is HIPAA and GDPR compliant and SOC 2 certified, and SwingVision data flows through the same compliant pipeline as every other source.