Best Practices

Quick tips:

• Use clear, well-lit photos of the device screen — avoid glare and blur
• If the extracted data looks wrong, try retaking the photo with better lighting
• If your device image shows multiple readings (e.g. blood pressure and pulse), JondaX returns each one as a distinct item with units

• Use a clear, well-lit, straight-on photo of the device display.
• Avoid glare, blur, or partial cropping of the screen.
• Ensure the device reading is fully visible and in focus.

Each extraction result in extractions[] contains an items array representing the detected device(s) and their measurements:

const result = response.data.extractions[0].result;

if (result.success && Array.isArray(result.items)) {
  result.items.forEach(item => {
    console.log(`Device: ${item.deviceType}`);
    console.log('Measurements:', item.data);
  });
}

• Validate file size (max 25 MB) and format (JPEG, PNG, GIF, WEBP) on the client side before uploading.
• Store the API key securely and never expose it in client-side code.
• Handle unknown deviceType values and dynamic data keys gracefully — new device types are added over time.

No published per-second or daily rate limits. For high-volume integrations, contact support@jonda.health to discuss capacity planning.

Medical Device extraction records are stored and accessible via the transformation history endpoint (GET /api/master/transformations?module=medical) and the file retrieval endpoint (GET /api/master/medical/:id). There is no uploadId for medical device uploads — use the id returned in the transformation history to retrieve specific records.

There is currently no separate sandbox or test environment. Use your production API key against the live endpoint. Test with sample device images before going live.