Not OP, but I have verified, and it is accurate. At least accurate enough from images or descriptions when assuming average proportions. Where it's really accurate is when you have measurements, even rough. I took to having a 1/2 cup scoop around the house so I could get volume measurements.
Initially I verified against labels by eating the serving size precisely. Then, I switched to weighing and doing the math on random days or meals.
For some items I would tell it the calories and macros and it would remember (a pb spoon is a common treat around my house).
It's good.
But like all food journalling the benefits are not so much having macro balances or tallies, its in making you aware and making you think about what you're eating. That alone takes you out of autopilot and lets you eat better.
It's just bad at math. So I would ask it to output a json struct for each day, that I could inspect by sight, then I'd save that and had a python script to actually tally.
Initially I verified against labels by eating the serving size precisely. Then, I switched to weighing and doing the math on random days or meals.
For some items I would tell it the calories and macros and it would remember (a pb spoon is a common treat around my house).
It's good.
But like all food journalling the benefits are not so much having macro balances or tallies, its in making you aware and making you think about what you're eating. That alone takes you out of autopilot and lets you eat better.
It's just bad at math. So I would ask it to output a json struct for each day, that I could inspect by sight, then I'd save that and had a python script to actually tally.
I had predictive analytics and the whole 9 yards. Maybe I should have started a business! https://jodavaho.io/tags/diet.html