Key Facts
- Category
- Format Conversion
- Input Types
- file, text, number, range
- Output Type
- file
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The XLSX Sheet To JSON Schema tool automatically generates structured JSON schemas by analyzing your Excel file's headers and data samples. It identifies data types, detects potential enum values, and applies constraints to ensure your exported data adheres to a consistent, valid format.
When to Use
- •When you need to convert legacy Excel data into a structured format for API integration.
- •When you want to enforce data validation rules based on existing spreadsheet content.
- •When you need to quickly generate a schema definition for database migration or application development.
How It Works
- •Upload your Excel file and specify the target sheet and header row index.
- •The tool scans the specified sample size to infer data types and identify recurring patterns.
- •It automatically detects enum candidates and applies required field thresholds based on your configuration.
- •Download the generated JSON schema file ready for use in your development environment.
Use Cases
Examples
1. Generating API Schema from Sales Data
Backend Developer- Background
- The sales team provides a monthly Excel report that needs to be imported into a new CRM system via an API.
- Problem
- Manually writing a JSON schema for 50+ columns is error-prone and slow.
- How to Use
- Upload the sales report, set the header row to 1, and let the tool infer types and constraints.
- Example Config
-
sheetName: 'Sheet1', headerRow: 1, sampleSize: 500, enumMaxDistinct: 10 - Outcome
- A complete JSON schema file that includes field types, required fields, and enum lists for categorical data like 'Region' or 'Status'.
2. Validating Inventory Imports
Data Analyst- Background
- Inventory managers upload product lists in Excel, but the data often contains inconsistent types.
- Problem
- Need a strict schema to validate incoming files before they reach the production database.
- How to Use
- Use the tool to generate a schema from a clean master template to enforce data integrity.
- Example Config
-
requiredThreshold: 1.0, schemaTitle: 'InventoryProduct' - Outcome
- A strict JSON schema that rejects any uploaded file missing required fields or containing invalid data types.
Try with Samples
json, xml, xlsxRelated Hubs
FAQ
How does the tool determine if a field is required?
It uses a 'Required Threshold' setting; if a column contains data in more than 98% of the sampled rows, it is marked as required.
Can I limit the number of enum values detected?
Yes, you can adjust the 'Enum Max Distinct' setting to control how many unique values are allowed before a field is treated as a standard string rather than an enum.
Does it support multiple sheets in one file?
The tool processes one sheet at a time. You can specify the sheet name in the configuration options.
What happens if my data has empty rows?
The tool ignores empty rows during the inference process and focuses on the populated data within your defined sample size.
Is my data uploaded to a server?
The file is processed to extract the schema structure; no sensitive data is stored permanently after the conversion process is complete.