The article explores the challenges of using GenAI services to analyze chart images when access to raw data is limited. The author created samples using Highcharts and PowerPoint, attempting to summarize what the charts represent alongside assessing the GenAI's parsing accuracy. There was a key issue regarding the definition of a generic schema for JSON responses needed for testing purposes, as AI Studio's restrictive nature hindered the flexibility of the output. Ultimately, a successful approach via direct API interaction was noted as a resolution.
In testing GenAI services, I aimed to analyze a range of charts; however, I only had access to image representations, complicating efforts for structured responses.
Using Highcharts and PowerPoint charts, my goal was to see how well GenAI can parse visual data, eventually running into schema issues with AI Studio.
When testing AI responses, a standardized JSON format was necessary but I encountered obstacles defining a generic schema for various chart data in AI Studio.
The frustration noted was specifically due to AI Studioâs required properties in the schema, which contrasted positively with results achieved using a direct API approach.
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