Barcode Generator
Generate EAN, UPC, Code 128, QR, and 30+ barcode types
Top-level workflow
Turn messy JSON, CSV, YAML, XML, SQL, query strings, and generated fixtures into shapes a developer can use.
Use this when raw data is technically valid but too ugly, nested, duplicated, or mismatched for the next step.
Generate EAN, UPC, Code 128, QR, and 30+ barcode types
Convert text between cases instantly
Transform CSV data to JSON
Format, minify, and filter JSON by keys
Validate JSON with Draft 2020-12 or generate starter schemas
Generate TypeScript interfaces from JSON samples
Validate & pretty-print JSON
Visualize and filter JSON as an interactive node graph
Related
Sort lines, remove duplicates, or combine both
Reverse text by character or word
Format SQL queries with dialect-aware rules
Generate random UUIDs in bulk
Analyze word frequency in any text
Format, minify, and validate XML
Convert YAML to JSON and JSON to YAML
Turn human column labels into consistent property names before building a payload mapper.
Reverse a suspicious field to find whether a payload was mirrored, pasted backward, or intentionally obfuscated.
Count repeated words so the real failure theme stands out from noisy text.
Sort and deduplicate identifiers before a bulk import creates duplicate work.
Format XML before deciding whether the response is malformed or merely hard to read.
Format SQL so joins, filters, and limits are reviewable before you edit production data logic.
Validate JSON and locate the exact syntax issue before blaming the API.
Pretty-print a dense response so nested fields can be reviewed and copied safely.
Trace paths, arrays, and inconsistent records in an unfamiliar response before changing the code that consumes it.
Clean a spreadsheet export into predictable JSON, then inspect the shape before handing it to an API.
Convert configuration data while preserving booleans, arrays, and nested objects.
Create TypeScript interfaces from actual JSON so client code starts from the real shape.
Use a schema check to separate syntax-valid JSON from contract-valid JSON.
Generate UUIDs for fixtures and keep them distinct from meaningful production identifiers.
Turn a 12-digit GTIN into a print-ready EAN-13 with a computed check digit instead of guessing the thirteenth number.
Compare a local baseline and a changed payload without confusing ordinary values with structural change.
Use local structure evidence to isolate the record whose shape breaks an otherwise healthy consumer.
Turn Current and Proposed examples into declared contract intent, local artifacts, and a reviewable rollout plan.
Review producer, consumer, and rollout consequences without pretending that an inferred sample settles compatibility.
Compare implementation evidence with declared intent so a passing example does not hide an unfinished contract change.