Fertility Period Tracker

Discover your body’s rhythm with a scientifically based fertility tracker designed to help you plan or avoid pregnancy naturally.

Simply enter the first day of your last period, and the app predicts your next period, ovulation day, and the most fertile and least fertile days of your cycle.

With Apple Health sync, your data stays automatically updated across all your Apple devices — so your fertility insights are always with you.

* Scientifically Backed Methods *

Our app includes two baby gender prediction methods:

• Popular Method – a theoretical approach based on the well-known theory by Landrum Shettles, which suggests that the timing within the fertile window may influence the baby’s gender.

• Scientific Method – a statistical, research-based approach developed by Rodrigo Guerrero, grounded in large-scale data from thousands of women.

You can switch between them anytime in Settings.

Please note: both methods provide probabilistic insights, not guaranteed results.

* Full Version Features *

Unlock deeper insights with the full version:

• Daily pregnancy probability for any selected date.

• Gender prediction probabilities for each fertile day.

• Overall fertility chances during your current cycle.

• Automatic Apple Health sync between devices.

* How It Works *

To create your personal fertility calendar, simply provide:

• The first day of your last period.

• Your average cycle length.

• Your luteal phase length (default works for most users).

Ideal for women with regular cycles — but also reliable for estimating ovulation using your average cycle length.

* Empower Your Reproductive Journey *

Whether you’re trying to conceive or prefer natural birth control, this app provides clarity, accuracy, and peace of mind — backed by science and made even smarter with Apple Health integration.

Disclaimer: This app is intended for informational and educational purposes only. It should not replace professional medical advice or consultation with a qualified healthcare provider. Accuracy may vary depending on individual factors and data input.