From your first sign-in to a finished PDF report, the whole workflow takes a couple of minutes. The steps below work for both clinic practitioners and individuals screening themselves.
The flow is the same for both — wherever it differs, look for the clinic or solo tag on the step.
Go to app.posturascreen.com and either continue with Google or create an account with email + password. The free tier includes every feature — no credit card.

Click + New client on the dashboard. Enter Name, Gender (used by gender-aware metrics like Q-angle), and Age. Hit Create client.
Clinic Add one entry per client. Every future assessment links back to the same profile, so you can track progress over time.
Solo Add yourself (or a family member) as a “client” — same screen, you're just the one being screened. Use your own name and details.

On the profile page, click + New Assessment (top right). This creates a fresh record that your photos and results attach to.

You need two photos: front view (facing the camera) and side view (standing fully side-on). Two ways to capture them:
Point any phone's camera at the QR code on the right of the screen. It opens a capture page — no app install, no login. Take the front photo, then the side photo, then hit Done. The images appear on your computer automatically.
If you already have the photos, click Choose photo in the “Add a front-view photo” and “Add a side-view photo” boxes on the left. JPG or PNG, any size.
Before you shoot: skim the photo tips below — they prevent most “no person detected” errors.

Once both photos are in place, click Run analysis. The AI detects 17 anatomical landmarks on each photo and computes the posture metrics, drawing the skeleton on top.
The first run of the day can take up to ~30 seconds while the service warms up. After that it's a few seconds per assessment.
You get 11 metrics from the front view (head tilt, shoulder level, pelvic level, Q-angle, etc.) and 6 from the side view (forward head, kyphosis, lordosis, pelvic tilt, knee angle). Each row shows the measured value, a normal range, and a flag:
· Green means the value is within the typical range.
· Red means it's outside that range — a screening signal worth a closer look, not a diagnosis.
· The approx tag appears on Forward Head, Thoracic Kyphosis, Lumbar Lordosis, Pelvic Tilt, and Q-angle (L/R) — a 2-D photo can only estimate these.
The annotated photos at the top show the exact landmarks the AI used to compute each metric.

APPROX tags appear next to the five estimated metrics.Click Print / PDF on the report. It produces a two-page printable layout: page 1 carries the annotated photos and the full 17-metric table; page 2 summarises just the flagged measurements with a one-line explanation of each.
Clinic Hand the PDF to the client at the end of the session, or email it. The PDF is your clinic's branded report.
Solo Save the PDF for your records, share it with your trainer or physio, or just keep it as a baseline to compare against next time.

screening estimate tag where the metric is approximated from a 2D photo.Every 4–6 weeks, run a second assessment for the same profile. Then open the profile, click ⇄ Compare, pick the two assessments, and see each metric side by side — baseline vs latest, with the delta.
Metrics that improved show in green, ones that worsened in red. This is the artefact that turns a one-off photo into a programme.

Most “no person detected” errors and odd readings come down to the photo. A few seconds of setup makes the analysis far more reliable.
Free during early access — every feature unlocked, no credit card.
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