Will the preview show an overfilled or "duck lip" result?

No. The model is calibrated to conservative, proportion-respecting HA filler outcomes — the kind a skilled injector produces with 0.5–1mL — not the exaggerated look patients associate with overcorrection or filler migration.

Can it show the difference between a half syringe and a full syringe?

The baseline build generates one optimized preview at a realistic augmentation level. Volume-specific previews — half syringe versus full syringe, or a staged result across two sessions — can be scoped into your build if your practice wants that level of control.

Does it distinguish between a lip flip and lip filler?

The preview is built for HA filler volume, not a neuromodulator lip flip. If your practice offers both, we can scope a version that shows the flip's subtle eversion separately from filler's added volume, so patients understand which procedure produces which look.

Does it account for asymmetry or a naturally thin upper lip?

Yes. The AI works from the patient's actual lip anatomy — asymmetry, an upper lip that's thinner relative to the lower, an uneven cupid's bow — and generates a preview that corrects proportionally instead of applying a uniform volume increase across a shape it wasn't given.

Can I use this to talk a patient down from an unrealistic reference photo?

That's one of the most common uses. Generate the preview on her own anatomy next to the reference photo she brought in, and the conversation shifts from "can you make me look like this" to "here's what your vermillion border and philtrum length actually support."

Does it work for patients who've had filler migration or want to correct old work?

The preview generates from the patient's current baseline photo, migration and all, so it shows the corrected result rather than pretending the starting point is untouched. It isn't a substitute for your clinical judgment on whether dissolving is needed first.

Are patient photos retained?

That's your call, not ours — it's your software. We build the storage and retention policy around what your practice needs and make sure it meets HIPAA or any other regulation that applies. No training on patient data, ever.

There's no off-the-shelf plan, so there's no published price list. Share your details and we'll discuss project scope and pricing on a free consultation call — see /pricing for details.

Med Spa & Aesthetics

Show her the lip shape before you draw up the syringe

Capture one frontal photo in the treatment room. Makeover generates a proportion-true HA filler preview in under 10 seconds — built on her own vermillion border and cupid's bow, not a filtered influencer photo, so she's booking syringes off her own face instead of someone else's Instagram.

Custom-built for your industry · No commitment

What is a lip filler preview preview?

A lip filler preview tool is AI software that generates a photorealistic image of a patient's lips after hyaluronic acid filler treatment, built from a single baseline photo taken in the treatment room. It preserves the patient's own vermillion border, cupid's bow, and lip-to-chin ratio while rendering volume consistent with a specific filler amount, typically 0.5mL to 1mL. Med spas and injectable practices show this during the consultation, before the syringe is drawn up, so the patient and injector agree on the target outcome instead of guessing from an influencer screenshot.

Why it matters

Lip filler is one of the top-requested injectables in most aesthetic practices, and also one of the most prone to day-of cancellations. At roughly $600–$900 per syringe of HA filler — Juvederm, Restylane Kysse, RHA — it isn't a casual purchase, and the objection is almost never price. It's fear of walking out looking "done." That fear shows up as a no-show fifteen minutes before the appointment, or a patient who books a consult, spends three more weeks comparing injector portfolios on Instagram, and never rebooks. A preview built on her own anatomy, not a stock before-and-after, collapses that research phase into the consult itself.

Who uses this

Injecting RNs, NPs, PAs, and physicians who perform lip augmentation run the preview themselves mid-consult, usually on the same tablet or phone they use for clinical photos. Med spa owners running multiple injectors use it as a standardization tool, so a new hire and a ten-year injector are setting the same volume expectations with the same patient. Patient coordinators sometimes generate a baseline preview at intake so the injector walks into the room with a documented starting point for the conversation, not a blank slate.

Heard this from a patient?

She says "I don't want duck lips" before you've even opened the consult form, and no amount of reassurance talks her out of a fear she's already decided is inevitable.

She pulls up a screenshot of an influencer with a completely different vermillion border and philtrum length, and expects that exact shape on her own face.

She asks for "just a little" — half a syringe — with no real sense of what 0.5mL changes, so she either underbuys and comes back disappointed or overbuys because she can't picture the smaller result.

How lip filler preview previews work

Three steps. Under 10 seconds. No design skills needed.

Capture a frontal baseline photo

One photo, lips relaxed, neutral expression, taken under your normal treatment-room lighting. No retraction, no special angle, no separate imaging appointment.

AI generates the filler preview

The model adds volume calibrated to a realistic mL amount while preserving her vermillion border, cupid's bow, and lip-to-chin ratio — not a generic plumped-lip filter.

Present it before you draw up the syringe

Her own lips, side by side, at the volume you're about to inject. She's agreeing to a photo of her own face, not a promise you'll have to walk back.

Common questions about lip filler preview

Straight answers. No jargon.

Let's build the version made for your business

Every preview on this site is a variation of the same engine, tuned to one industry. Tell us about yours, and we'll show you exactly what we'd build for it.

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