Logging meals and using AI meal analysis

Meal logging helps Zovrah understand how your nutrition habits may be affecting your energy, mood, Readiness and overall routine.

You can log meals in different ways depending on what feels easiest in the moment. The goal is not to make nutrition tracking complicated. The goal is to capture enough useful context to help you understand how food choices fit into your day.

Zovrah may allow you to log meals by using photo analysis, scanning a barcode or describing the meal manually.

Photo analysis can help identify visible foods from an image. Barcode scanning can help recognise packaged items where supported. Manual descriptions allow you to explain what you ate when a photo or barcode is not the best option.

Each method is designed to make logging easier, but the saved result should still reflect what you actually ate.

AI meal analysis provides an estimate.

Before saving a meal, review the suggested foods, ingredients, portion sizes and nutrition information. If something looks wrong, adjust it where possible before confirming the log.

This is important because photos, packaging, serving sizes and mixed meals can be interpreted differently. A quick review helps keep your nutrition data more useful.

Meal logs help shape your Nutrition Score and can contribute to your wider Readiness picture.

They may also support insights, trends and Kairo guidance by helping Zovrah understand links between your meals, energy, hydration, stress, sleep and daily routine.

The more consistently you log meals, the easier it becomes to notice patterns in how nutrition affects how you feel.

If the AI analysis does not look accurate, edit the meal before saving where possible.

You may need to adjust ingredients, remove incorrect items, change portion sizes or use a manual description instead. If the result is too far off, it may be better to restart the log with a clearer photo or more specific description.

AI meal analysis is there to support logging, not replace your judgement.

Some products may not be recognised by barcode scanning.

If this happens, try logging the meal manually or using another available logging method. Barcode coverage can vary depending on the product, region and available nutrition data.

If you believe a common product should be recognised and it is not, you can submit a technical issue report through zovrah.com/help.

If a meal does not save, check your connection and try again.

If the issue continues, submit a support ticket through zovrah.com/help with the approximate time, device details, logging method used and what happened.

Screenshots can be helpful if the issue is visual or repeatable.

You do not need perfect nutrition logs to benefit from Zovrah.

A consistent, honest estimate is often more useful than avoiding logging because you cannot capture every detail. Use meal logging as a way to build awareness, not as a reason to overthink every ingredient.

Over time, your logs help Zovrah give you a clearer view of your nutrition patterns and how they may be affecting your day.