Automate Visual Data Entry with Gemini Multimodal Structured Output
Convert images directly into structured database entries using multimodal LLMs.
Leverage Gemini's vision capabilities combined with JSON mode to turn visual media into reliable, structured data sets.
The Scenario
You have a stack of receipts or food photos and need to convert the visual information into a structured expense report or calorie tracker.
Before & after
Users had to manually look at an image, type out the visible details into a spreadsheet, and double-check for typos, taking 5–10 minutes per item.
Pass an image and a JSON schema to Gemini 1.5 Flash. It extracts multimodal data into a structured format in about 1–2 minutes.
The Prompt
Extract the details from this image into a JSON object following this schema: [DESCRIBE_SCHEMA]. \n\nImage reference: [UPLOAD_IMAGE]
By combining multimodal capabilities with structured output, you can automate visual data entry. This is particularly useful for digitizing invoices, menus, or IDs into standardized JSON objects.
Source
Release notes | Gemini API | Google AI for Developers"get the nutritional value of a meal just by snapping a photo... You need data you can trust."