Our technology is constantly evolving and we are relentlessly focused on making nutrition tracking effortless for users. Many of our users are able to log their meals with just computer vision and without the need for editing. However, users may need to adjust the results using our UX features. We conducted a small study where we asked super-users and users unfamiliar with our technology to log their meals. In over 95% of the cases super-users were able to log everything they tried without typing. More generally, the amount of user editing depends on the UX implementation and the settings our customers apply to the use of Passio’s SDK. From the limited feedback we received from our customers, we are seeing that users are able to log their meals using computer vision between 70% and 99% of the time depending on the implementation and use case. We are also seeing that people who are instructed about the best practices are having higher success rates. For example, I can easily log all of the foods I'm eating with computer vision. Here is an example of a video that shows best practices: https://youtu.be/lTO17HxQuh0 For cases where users are not able to log meals with computer vision we are providing a variety of other entry options, including manual search, UPC scanning, and Nutrition Label scanning.