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A7Soft JsonMapper
JSON Mapper is a browser-based tool that transforms jsons.
5 followers
JSON Mapper is a browser-based tool that transforms jsons.
5 followers
JSON Mapper: The Ultimate No-Code Data Transformer Tired of manually mapping complex JSON structures? JSON Mapper automates the bridge between your source data and your desired output format. By analyzing two JSON examples, the tool intelligently suggests links based on identical paths, matching keys, and even shared values.
How does the mapping hold up when source and target keys only partially match in meaning but not in name, like "dob" vs "dateOfBirth"? Curious how much manual cleanup is needed for those edge cases.
@azadkarasam The A7Soft JSON Mapper handles these cases through a combination of automated discovery and visual manual linking. The "Parse JSON" engine uses fuzzy matching and value-based inference to suggest links. If the values associated with dob and dateOfBirth share the same format (e.g., ISO dates), the tool will often propose the link automatically despite the name mismatch.
How does it actually handle really nested arrays with mixed object types, does it just guess or do I need to give it hints somehow?
@omur_topra16353 A7Soft JSON Mapper uses a "Map-by-Example" approach rather than guessing. It relies on the structural patterns you provide in your source and target JSON to understand how to handle nested arrays and mixed types.
Here is how it manages complex nesting without requiring manual "hints":
Structural Inference: When you link a field inside a nested array, the engine analyzes the path. If it sees an array, it automatically applies a [*] wildcard. This tells the mapper: "Apply this rule to every object in this array, regardless of its position."
Wildcard Alignment: If you have mixed levels (e.g., mapping a 3-level nested array to a 1-level flat array), the engine uses depth-based alignment. It tracks which source array level corresponds to which target level, ensuring that data from the correct "parent" is preserved even when the structure is completely flattened.
Handling Mixed Types: If an array contains mixed object types, you simply map the fields that exist. The mapper is schema-tolerant; if a field is missing in one specific object of a mixed array, it simply skips that rule for that item rather than crashing or producing null errors.