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Local · Zero upload

Postman Collection

Collection parsing · Request extraction

Postman

Ready

Raw input

                                
                            
Parsed output

                                
Fixed height; long code scrolls inside the panel

ABOUT

About Postman Collection

Import Postman Collection JSON and quickly browse request methods and URL structure within the collection.

Postman Collection is a key team API asset, but the JSON is large and deeply nested—hard to read raw. A structured summary gives you the full picture in minutes and saves time on docs and migration planning.

DEEP DIVE

Learn more about Postman Collection

Postman is one of the most popular API collaboration tools; exported Collection JSON can be consumed by many tools. JSONSort's Postman parser extracts request lists, HTTP methods, URLs, and header structure so you can browse quickly without opening each request in the Postman client.

Great for team API docs, Collection migration assessment, and intermediate steps when converting Postman exports to other formats (e.g. OpenAPI). Fully local parsing—environment variable names and URLs in the Collection never upload.

Collection v2.1 includes rich metadata: item, request, response, auth, and more. The parser focuses on core fields like request method and URL for API inventories; use the formatter for full raw JSON details.

FEATURES

Core capabilities

01

Collection parsing

Parse Postman Collection v2 JSON format.

02

Request list extraction

List Method, URL, and Name for every request.

03

Folder structure

Preserve folder hierarchy inside the Collection.

04

Body preview

Show a summary of each request's raw body.

05

Local parsing

Collections may contain internal URLs and token names—local is safer.

06

Formatted output

Results output as JSON for downstream processing.

07

Folder hierarchy

Preserve directory structure—output matches Postman's left-side tree.

08

Variable placeholders preserved

{{baseUrl}} and similar variables stay as-is, marking environment dependencies.

HOW TO USE

How to use

  1. 1

    Paste Postman Collection JSON

  2. 2

    View parsed request summary

  3. 3

    Copy or continue editing

  4. 4

    On failure, check the error, fix source syntax, and retry

  5. 5

    Pretty-print with the formatter or export for downstream scripts

WORKFLOW

Typical workflow

End-to-end flow from import to export so teams use Postman Collection consistently.

1

Export Collection

Postman → Export → Collection v2.1 JSON.

2

Paste & parse

Import into JSONSort and view the structured request list.

3

Browse & filter

Use the formatted tree view to inspect individual request details.

4

Document

Copy summaries to Wiki or OpenAPI migration scripts.

USE CASES

Use cases

Backend

Backend developers

Review structure of team-shared Postman Collections.

Technical writing

Technical writing

Extract API lists from Collections to write interface docs.

Testing

QA engineers

Assess Collection coverage and list all endpoints.

Frontend

Frontend developers

Understand backend API inventory and plan Mock endpoints.

Architecture

Architect

Assess Collection size and duplicate endpoints to drive API governance.

New hires

New hire onboarding

Browse the team's full API set without opening each Postman tab.

TIPS

Tips

  • Export Collection v2.1 JSON from Postman and paste into the input.
  • After parsing, copy JSON results to the formatter tree view to browse hierarchy.
  • {{variable}} in Collections stays as-is so you can spot environment dependencies.
  • For large Collections, split by folder and export separately before parsing.
  • Use the Query tool to analyze URL parameter structure for a single request.
  • Before migrating to Insomnia/Bruno, use this tool to gauge Collection size.
  • Export Collection v2.1—not v1 or curl format.
  • Sensitive headers (Authorization) may still show key names in summaries—redact before sharing.
  • Split huge Collections by folder on export for faster parsing.
  • Pipe parse results to the SQL tool to generate endpoint inventory tables.

LOCAL VS ONLINE

Local vs online tools

JSONSort stays purely frontend—this comparison shows why local tools fit dev data better.

Comparison
JSONSort (local)
Typical online tools
Data privacy
Fully local, zero upload
Most require server upload
Response speed
Milliseconds, no network latency
Affected by network and server load
Offline use
PWA offline supported
Usually requires internet
Sensitive data
JWT/config/logs handled with confidence
Leak risk
Ads & tracking
No ads, no data tracking
Most include ads or Analytics
File drag-and-drop
Import local files directly
Some tools limit upload size
Tool integration
19 tools on one page
Usually one site per tool
Open & transparent
Pure static pages—audit the source
Closed-source server, not auditable

TROUBLESHOOTING

Common pitfalls & fixes

Issues you may hit in practice and how to handle them—save time on trial and error.

Parse failed

Tip:Confirm it's Collection JSON—not Environment or a single request.

Incomplete URL

Tip:Unresolved variables are normal—resolve manually with Environment.

Hierarchy too deep

Tip:Split the Collection by folder and parse each part.

Wrong format version

Tip:For v1 Collections, Convert to v2 in Postman before export.

FAQ

FAQ

Does it support Postman v1?

Mainly Collection v2 / v2.1. Convert v1 in Postman before export.

Are Environment variables parsed?

Currently parses the Collection itself. Use the JSON formatter for Environment JSON.

Can it convert to OpenAPI?

Outputs structured JSON summary today. OpenAPI conversion is a follow-up step you can handle separately.

Are Pre-request Scripts executed?

No. Static JSON parsing only—scripts are not run.

Are response examples extracted?

Focuses on request definitions; see response examples in the raw JSON.

Is data uploaded to a server?

No. All JSONSort tools run locally in your browser—your input is never sent to any backend.

Do I need to sign up or install anything?

No. Open the page and go—no account, no client download, PWA offline cache supported.

How large can files be?

Depends on browser memory; multi-MB data usually runs smoothly. Split very large files or use merge & clean first.

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