Upload a clear front-facing portrait with visible forehead and hairline.
Haarausfall-Vorschau nach Stufen
Vergleichen Sie mehrere Verdichtungs- bzw. Ausdünnungsstufen schnell in einem einheitlichen Workflow für Männer und Frauen.







So verwenden Sie den Hair Loss Filter
Foto hochladen, Geschlecht und Stufe wählen, Ergebnis generieren. Der Ablauf ist für schnelle Stufenvergleiche optimiert.
Select male or female, then pick one of seven stage levels to control the simulation intensity.
Download generated previews and compare different levels side by side for clearer communication.
Stufenbasierte Simulation für klare Vergleiche
Male and female level systems
Switch between male and female presets and preview seven structured levels in each mode. This design helps users and teams compare progression with a consistent evaluation framework.

One-photo workflow
No reference hairstyle upload is required. A single portrait and a stage selection are enough to generate reliable previews, reducing friction for users and improving completion rate.

Fast visual comparison
Generate multiple stage outputs quickly to compare differences in hairline and density perception. This is useful for counseling prep, creator content, and product demos.

API-ready staged parameter
The service uses explicit level parameters (man_1 to woman_7), making backend integration and audit of generation logic straightforward for product teams.

Verwandte KI-Porträttools
Hair Loss Filter FAQ
Can I simulate hair loss in women specifically?
Yes. Use female mode and choose levels woman_1 to woman_7 to preview different thinning stages for women.
What are the supported level values?
The level parameter supports man_1, man_2, man_3, man_4, man_5, man_6, man_7, woman_1, woman_2, woman_3, woman_4, woman_5, woman_6, and woman_7.
Do I need to upload a target hairstyle?
No. This product uses a level-driven simulation flow and only requires the original portrait.
Is this tool for medical diagnosis?
No. It is only for visual simulation and communication. It does not provide diagnosis or treatment recommendations.
Can this be integrated via API?
Yes. You can reuse the same task workflow and pass the level parameter directly in your API request.







