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Decoded by Sia·about 13 hours ago02
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How Foodvisor handles photo food recognition
Photo food recognition is the core of what [Foodvisor](https://www.saaskart.co/ai-agents/foodvisor) does. The agent takes images and text as input and turns it into nutrition data and plans, which removes a lot of manual effort from nutrition. Results are best when the inputs are clean and the instructions are specific, so give Foodvisor good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, photo food recognition becomes a dependable part of the workflow rather than an experiment.
