Data & Format tools
Work with structured data faster: format JSON, convert between formats, validate schemas, compare payloads, and inspect serialized data.
Featured tools
Good starting points in this category.
Common use cases
Typical tasks this Data & Format category helps with.
Debug API payloads
Format, compare, query, and validate JSON or XML responses before using them in code.
Move data between formats
Convert structured data between JSON, YAML, CSV, SQL, and binary-friendly formats.
Design typed contracts
Generate schemas or TypeScript types from examples to document data shapes.
Recommended guides
Use these workflow guides with the Data & Format tools when a task needs context beyond a quick result.
How to debug API JSON responses
Format the response, confirm the HTTP status, validate the schema, and compare payload changes before changing application code.
How to debug JSON API payloads
A practical workflow for formatting JSON, finding syntax errors, validating payload shape, and checking response status when API data looks wrong.
How to clean CSV data before import
A CSV cleanup workflow for reviewing imported data, deduplicating rows, filtering records, and extracting the columns that matter.
Tool groups
Browse tools by the kind of task they solve.
Json
Json yaml
Sql
Json csv
Config files
How to use these tools together
A practical workflow for the Data & Format category.
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Start with inspection
Paste or enter the raw value first and use the category tools to understand its structure, format, status, or constraints.
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2
Normalize the input
Format, decode, clean, sort, or validate the input before copying the result into code, configuration, documentation, or a ticket.
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3
Cross-check with related tools
Move between related tools when a task spans more than one concern, such as URL tracking plus redirects, JSON formatting plus schema validation, or DNS plus SSL.
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4
Copy only reviewed output
Treat generated output as a draft. Review edge cases, environment-specific values, and any security-sensitive data before using it.
What to check before using the result
Use these checks to avoid copying a result that is technically valid but wrong for the context.
Input assumptions
Confirm the pasted input is complete and belongs to the environment you are debugging, not a truncated log or stale example.
Production safety
Do not paste secrets, private keys, tokens, or sensitive customer data unless the tool explicitly runs locally and the context is safe.
Format compatibility
Check that the final format matches the system that will consume it, including casing, delimiters, encoding, locale, and line endings.
Follow-up validation
When the result affects SEO, security, networking, or API contracts, validate it again in the target system after copying.
All Data & Format tools
Browse every tool currently available in this category.
Data & Format FAQ
Are these Data & Format tools free to use?
Yes. The tools in this category are available directly in the browser without requiring an account.
Do I need to install anything?
No. Open the relevant tool, paste or enter your data, and copy the reviewed result.
How should I choose the right tool in this category?
Start from the task: inspect, format, validate, generate, compare, or convert. The featured tools and groups on this page are organized around those workflows.
Can I use these tools for production work?
Yes, but review outputs before applying them to production systems, especially for security, DNS, SEO, API, and configuration changes.