Upload a front-facing photo with visible hairline and minimal occlusion for accurate analysis. Better lighting and image clarity improve scalp-region reconstruction and edge blending.






How To Use The AI Hair Transplant Simulator
Upload a clear portrait, choose a reference hairstyle image, and generate before-and-after restoration previews in seconds. The workflow is optimized for consultation scenarios where users need fast, readable comparisons without changing original hair color.
Add a target hairstyle image to guide the transplant simulation direction for density and contour. You can try multiple reference photos to compare conservative and fuller restoration outcomes.
Generate and download your visual output to support expectation alignment with clinics or stylists. These previews are useful for documenting visual goals before consultation and tracking style preferences.
Focused Simulation For Hairline And Density
Reference-guided transplant direction
The model uses your reference hairstyle image to infer restoration direction and target silhouette, then adapts it to your facial proportions for a more believable before-and-after outcome. This makes hair transplant before and after planning more concrete, especially when users want to compare different hairline shapes before consultation.

Original hair color preserved
Color is locked to original by default, reducing distractions and keeping the preview transplant-focused. Instead of adding artificial color variation, the simulation emphasizes density and frontal contour changes so hair transplant images before and after remain easy to interpret in real consultation scenarios.

Fast decision support
Get rapid before-and-after visuals for consultation prep, proposal drafts, and expectation management. With a simple portrait plus reference workflow, users can test multiple restoration directions quickly and use each output as a discussion baseline with clinics, consultants, or stylists.

Ready for integration
The same AIHair service flow can be reused in your app via API for scalable product experiences. Teams can plug this capability into consultation dashboards, booking funnels, or user-facing preview tools and deliver consistent hair transplant before and after generation with predictable task responses.

AI Hair Transplant API
Deploy the same before-and-after simulation capability in your own product with a stable task-based API flow. This endpoint design fits clinic systems, consultation dashboards, and consumer apps that need consistent asynchronous generation behavior at scale.
Portrait + reference hairstyle inputs map to a consistent asynchronous task workflow for easy integration.
Cloud processing supports concurrent requests, suitable for clinic tools, consultation apps, and SaaS products.
Uploaded and generated files follow automated retention cleanup policy for privacy protection.
Compatible with existing AI portrait pipelines and straightforward to plug into current systems.
Related AI Portrait Tools
AI Hair Transplant FAQ
Is this a medical recommendation tool?
No. It is only a visual simulation product for appearance planning and communication support.
Can I use outputs in doctor consultations?
Yes. Many users export before-and-after images as visual references for clinics and stylists.
What image quality gives the best results?
Use high-resolution, front-facing portraits with clear forehead and hairline visibility.
Can I run multiple target looks?
Yes. Upload different reference hairstyle images to compare multiple restoration styles.
Does it work for both men and women?
Yes. The workflow supports both male and female portrait inputs with personalized simulation results.
Can I keep my original hair color in the result?
Yes. This product is configured to preserve original hair color by default, so previews focus on hairline and density changes.
How long does generation usually take?
In most cases it takes a short time to generate results, depending on image complexity and current queue load.
Can I use side-profile or low-light photos?
You can, but front-facing images with clear lighting generally produce more stable and realistic transplant simulation quality.
Can clinics integrate this tool through API?
Yes. The same task-based API can be integrated into consultation systems, CRMs, or consumer-facing preview products.





