JSON Tools for Cleaning, Transforming, Validating, and Converting Data

Create derived values from formulas, expressions, and simple conditionals.

Example: price * quantity -> lineTotal

Turn CSV text into structured JSON records for scripts, imports, and pipelines.

Example: name,email rows -> JSON objects

name,email
John,john@example.com

[{ "name": "John", "email": "john@example.com" }]

Reformat strings, numbers, and IDs with trimming, case changes, and coercion.

Example: "Acme Inc" -> acme-inc slug

Convert JSON arrays and nested API responses into CSV-ready rows.

Example: users[0].email -> email column

[{ "name": "John", "email": "john@example.com" }]

name,email
John,john@example.com

Remap values through lookup tables for enums, codes, and category names.

Example: status: 1 -> status: active

Convert column-and-row JSON into an array of readable record objects.

Example: columns + rows -> keyed records

{ "columns": ["name"], "rows": [["John"]] }

[{ "name": "John" }]

Parse XML text into JSON for downstream normalization, validation, and reconciliation pipelines

Parse YAML into JSON for diff, validation, and config-normalization pipelines

Combine two object trees into one with configurable deep-merge conflict resolution

Replace old field values in rows by matching multiple fields from lookup rows

Replace old field values in rows using matching values from lookup rows

Wrap string fields in localization objects while keeping the result as structured JSON

Enforce expected source-shape requirements before a pipeline transforms data

Check whether a phone number's international calling code matches its declared ISO country code.

Validate JSON payloads against schema rules before apps or APIs consume them.

Example: require id, email, and status

{ "id": 123, "email": "user@example.com" }

valid: required fields and types match the schema

Copy, move, or swap values between known JSON paths without broad restructuring

Add or default fields on objects using expressions, generated values, and fallbacks

Convert objects to key-value entry arrays or rebuild objects from entries

Filter rows, items, keys, or values by explicit conditions and keep only the matches you want

Find and replace matching keys or values across JSON using broad search patterns

Turn deeply nested objects into readable path keys for CSV, diffs, and QA.

Example: user.profile.name -> user_profile_name

{ "user": { "profile": { "name": "John" } } }

{ "user_profile_name": "John" }

Keep only the paths you need from large API responses or nested documents.

Example: keep customer.email and order.total

{ "customer": { "email": "a@b.com" }, "debug": true }

{ "customer": { "email": "a@b.com" } }

Rename known keys or convert key casing without changing the underlying values

Flexibly restructure collections by grouping, unwinding, transposing, or rearranging nested data

Enforce a known target shape by extracting paths, ensuring arrays, unwrapping values, or plucking indices

Shape and slice tabular JSON rows with spreadsheet-like operations before later transforms or export

Make inconsistent arrays share the same fields, ordering, and value shape.

Example: align missing fields across records

[{ "id": 1, "name": "A" }, { "id": 2 }]

[{ "id": 1, "name": "A" }, { "id": 2, "name": null }]

Remove empty values, trim strings, sort keys, and normalize noisy API payloads.

Example: trim strings + drop empty fields

{ "name": " John ", "nickname": "" }

{ "name": "John" }

Mask secrets and PII while keeping the surrounding JSON structure intact

Remove known fields, paths, or matching keys from JSON without masking the values

Reduce oversized payloads by truncating strings, capping arrays, and dropping large blobs

Compute rollups and summary metrics over arrays such as count, sum, average, unique values, and flatten

Summarize a payload with compact statistics, structural overviews, and anomaly signals

Compare two JSON files or API responses and see field-level changes.

Example: price changed 10 -> 12

Old: { "price": 10 }
New: { "price": 12 }

changed: $.price from 10 to 12

Generate mock JSON data from a template for testing, demos, or seeding pipelines

Parse browser DevTools console text into a structured JSON array of console entries

Parse Named Debug Structured log lines into structured JSON records