This single-page calculator estimates how strongly evening screen light could suppress melatonin under a simple dose-response model. Enter your screen brightness in lux, how long you look at it in minutes, and the percentage reduction from a blue-light filter. The result is an easy-to-compare percentage that can help you test “what if” scenarios such as dimming the screen, shortening viewing time, or enabling a warmer display mode.
Important: the output is an estimate intended for education and comparison, not a medical diagnosis. Real melatonin response depends on spectrum, timing, pupil size, distance, room lighting, and individual sensitivity.
Screens are convenient, but they are also bright, close to the eyes, and often used at night. Light in the short-wavelength range (commonly described as “blue light”) can signal daytime to the brain. In the evening, that signal can reduce melatonin secretion, increase alertness, and shift the timing of sleep. The goal of this calculator is to turn three practical inputs—brightness, time, and filtering—into a single modeled percentage so you can compare habits and settings.
Many studies highlight wavelengths around 460–480 nm as especially relevant for circadian effects. Specialized retinal cells (intrinsically photosensitive retinal ganglion cells) respond strongly to this range and send timing signals to the brain’s master clock. The biological response is not only about how “bright” a screen looks; it also depends on spectrum, duration, and your personal sensitivity.
This tool provides a simplified estimate of melatonin suppression using an exponential dose-response curve. It is useful for comparing scenarios such as “30 minutes at low brightness” versus “60 minutes at high brightness,” or “no filter” versus “night mode.” It does not measure your melatonin directly, and it cannot account for every factor that influences circadian biology.
Think of the output as a relative guide. If one scenario produces a much higher percentage than another, it suggests that the first scenario is more likely to be disruptive under the model. If two scenarios are close, the difference may be smaller than real-world variability.
The model uses two steps. First, it adjusts the measured brightness for filtering. This treats the filter as a linear reduction in effective illuminance, which is a simplification but easy to interpret.
Effective illuminance: where is the filter reduction percentage.
Second, it estimates melatonin suppression as an exponential function of effective illuminance and time:
where is exposure time in minutes.
Imagine you use a tablet at 80 lux for 60 minutes with a 0% filter. Effective illuminance is 80 lux. The model yields an estimated suppression of about 44%. If you enable a 50% filter, effective illuminance becomes 40 lux and the estimate drops to about 25%. If you keep the screen at 80 lux but reduce time to 20 minutes, the estimate drops to about 17%.
The practical takeaway is that you can often get a meaningful reduction by combining small changes. For example, dimming slightly and shortening the session may reduce the estimate more than either change alone. If you are experimenting, change one variable at a time first (brightness, then time, then filter) so you learn which lever matters most for your routine.
| Lux | Minutes | Filter % | Suppression (approx.) |
|---|---|---|---|
| 40 | 30 | 0 | 13% |
| 80 | 60 | 0 | 44% |
| 80 | 60 | 50 | 25% |
| 120 | 90 | 0 | 73% |
A higher percentage means the model expects stronger suppression under the given conditions. It does not mean you will definitely lose that exact fraction of melatonin, and it does not predict how long it will take you to fall asleep. People differ: some are very light-sensitive, while others are less affected. Also, the same screen can be more disruptive when used close to bedtime than earlier in the evening.
If you want a simple rule of thumb for experimentation, try aiming for a lower effective illuminance (L) and a shorter duration. In many households, room lighting can be brighter than the screen; in that case, the screen may not be the dominant signal. Conversely, in a dark room with a bright screen, the eyes may receive a stronger contrast and a stronger circadian cue.
This calculator intentionally simplifies a complex biological process. Use it for comparison and education, not diagnosis. Real-world melatonin response can differ substantially due to the factors below.
If you want to reduce potential disruption, common strategies include lowering brightness, shortening exposure, using warmer color temperature settings, increasing ambient room lighting so the screen is not the dominant light source, and keeping the screen farther from the face. Many people also benefit from a consistent wind-down routine and a screen-free buffer before sleep.
Melatonin is only one part of sleep regulation, but it is a useful marker because it reflects the body’s internal night. Observational research links chronic nighttime light exposure with sleep disruption and downstream effects on mood, attention, and metabolic health. That does not mean screens are inherently harmful; it means the timing and intensity of light matter. A practical approach is to treat evening light like caffeine: small amounts may be fine, but large doses close to bedtime can interfere with sleep.
If you are trying to shift your schedule earlier, bright morning light and dim evenings often work together. Morning outdoor light can strengthen circadian timing and may reduce sensitivity to evening light for some people. In contrast, very dim days and bright nights can weaken the day-night contrast that the circadian system relies on. While this calculator focuses on the screen component, it can still support better decisions when combined with broader light hygiene.
Measuring lux can be as simple as using a basic meter or a phone app. Phone sensors vary, but they can still be useful for relative comparisons: measure your screen at your typical viewing distance, then repeat after dimming or enabling a filter. Use the calculator to see how the estimate changes when you adjust one variable at a time. Over a week, you can build a small personal reference: “At 30 lux for 15 minutes I get a low estimate; at 120 lux for an hour I get a high estimate.”
If you want to go deeper, researchers sometimes use metrics like melanopic equivalent daylight illuminance (melanopic EDI) to better represent circadian potency. Consumer devices rarely report melanopic values directly, so this page uses lux as a practical input. Future versions could allow device profiles or melanopic ratios, but the current model keeps the interface simple and transparent.
If you cannot measure, start with a rough estimate and use the calculator for comparisons. For example, run scenarios at 20, 50, and 100 lux to see how sensitive the estimate is. Then focus on actions you can control: dimming the screen, using a warmer mode, and reducing time.
Often it helps, but the effect depends on how the filter changes the spectrum and brightness. Some modes reduce blue wavelengths but keep the screen bright; others dim the screen as well. In this calculator, the filter is modeled as a direct percentage reduction in effective illuminance, which is a convenient approximation.
Both can matter. Because the model depends on the product of effective illuminance and time, reducing either one lowers the estimate. If you can do both—slightly dimmer and slightly shorter—you may see a larger combined reduction.