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Jira Software

Jira JSON to Excel Converter

Analyze your team's velocity by converting Jira JSON dumps to Excel.

  • 100% in your browser — nothing uploaded
  • No sign-up, no email
  • Handles 100 MB+ files
  • Open source
raw_data.json
Input: Nested JSON
{
  "orders": [
    {
      "id": "ORD-001",
      "customer": {
        "name": "Alex Chen",
        "email": "[email protected]"
      },
      "items": ["Laptop", "Mouse"],
      "total": 1299.99
    },
    {
      "id": "ORD-002",
      "customer": {
        "name": "Sarah Jones",
        "email": "[email protected]"
      },
      "items": ["Monitor"],
      "total": 349.50
    }
  ]
}
Flattening Nested Objects...
Output: Clean Table
4 Columns Found
IDCustomer NameItemsTotal
ORD-001Alex ChenLaptop, Mouse$1,299.99
ORD-002Sarah JonesMonitor$349.50
Done (0.02s)
No Data Upload
GDPR/HIPAA Compliant
Instant Processing
Free to Use
10,000+
Files Converted
500+
Business Analysts
100%
Private & Secure
1

Trusted by Ops Professionals

Join thousands of ops, support, and admin professionals who trust JsonExport for secure, fast JSON to Excel conversions

Saves 3 hours weekly

“I used to spend 3+ hours every week converting HubSpot JSON exports to Excel for my manager. JsonExport cut that down to 5 minutes. The auto-unescape feature handles our double-encoded data flawlessly.”

SK

Sarah K.

RevOps Manager at Fortune 500 Retail Company

HIPAA compliant

“Privacy was my #1 concern. Other tools required uploading patient data to their servers. JsonExport processes everything client-side, which means we're HIPAA compliant. Absolute game-changer for our team.”

MR

Michael R.

Salesforce Admin at Healthcare Analytics (2,500+ employees)

Auto-unescape magic

“Google Analytics JSON exports used to be a hassle to convert. Other tools either crash or require uploads to their servers. JsonExport's auto-unescape handles our double-encoded data flawlessly. Plus it's completely free!”

JT

Jennifer T.

Marketing Ops Manager at SaaS Startup

No coding required

“Converting Shopify order JSONs with nested line items used to be a nightmare. JsonExport's nested view makes it easy to see relationships, then export to flat Excel for reporting. No Python skills needed.”

DL

David L.

E-commerce Operations Lead at Mid-size Retail (500+ stores)

30 min → 2 min

“We pull Stripe transaction data daily. The timestamp conversion and metadata flattening features save me from writing custom scripts. What used to take 30 minutes now takes 2.”

RM

Rachel M.

Financial Administrator at Fintech Company

Frequently Asked Questions

Everything you need to know about converting JSON to Excel

Absolutely safe! JsonExport processes everything in your browser using JavaScript. Your data never leaves your computer - no uploads, no servers, 100% private.

Quick Answer

To analyze Jira data in Excel, simply export your issues as JSON from the Jira Advanced Search or API, then paste the result here. We extract custom fields into their own columns for easy sorting.

Why use Jira JSON to Excel Converter?

Jira exports allow for deep analysis of ticket velocity and sprint health, but the JSON format is complex. Convert it to Excel to build your own custom dashboards.

Native Support

Specifically tuned to handle the quirks and nested structures of Jira JSON data.

Extracts Issue "fields" into top-level columns
Handles custom fields automatically
Great for sprint retrospective analysis
No API token required - just paste the JSON
Jira SoftwareLive Transformation Architecture

How JsonExport Flattens Jira Data

Jira Cloud / Server Issue Search Export (with ?expand=changelog). Nested objects and complex arrays are unpacked into clean spreadsheet columns automatically.

Before: Raw Jira Nested JSON
{
  "expand": "schema,names,changelog",
  "startAt": 0,
  "maxResults": 50,
  "total": 2,
  "names": {
    "summary": "Summary",
    "status": "Status",
    "priority": "Priority",
    "assignee": "Assignee",
    "reporter": "Reporter",
    "labels": "Labels",
    "customfield_10015": "Sprint",
    "customfield_10020": "Story Points"
  },
  "issues": [
    {
      "id": "10024",
      "key": "ENG-1420",
      "fields": {
        "summary": "Database connection pool timeout in EU cluster",
        "status": {
          "name": "In Progress",
          "statusCategory": {
            "name": "In Progress",
            "colorName": "yellow"
          }
        },
        "priority": {
          "name": "High",
          "id": "2"
        },
        "issuetype": {
          "name": "Bug"
        },
        "assignee": {
          "displayName": "Sarah Chen",
          "emailAddress": "[email protected]"
        },
        "reporter": {
          "displayName": "DevOps Bot"
        },
        "labels": [
          "prod-incident",
          "eu-cluster"
        ],
        "created": "2026-08-25T08:14:22.000+0000",
        "updated": "2026-08-28T09:30:00.000+0000",
        "customfield_10015": "Sprint 42",
        "customfield_10020": 5
      },
      "changelog": {
        "startAt": 0,
        "maxResults": 3,
        "total": 3,
        "histories": [
          {
            "id": "100201",
            "author": {
              "displayName": "DevOps Bot",
              "emailAddress": "[email protected]"
            },
            "created": "2026-08-25T08:14:30.000+0000",
            "items": [
              {
                "field": "status",
                "fieldtype": "jira",
                "fromString": "Open",
                "toString": "To Do"
              }
            ]
          },
          {
            "id": "100210",
            "author": {
              "displayName": "Sarah Chen",
              "emailAddress": "[email protected]"
            },
            "created": "2026-08-26T10:02:11.000+0000",
            "items": [
              {
                "field": "assignee",
                "fieldtype": "jira",
                "fromString": null,
                "toString": "Sarah Chen"
              },
              {
                "field": "status",
                "fieldtype": "jira",
                "fromString": "To Do",
                "toString": "In Progress"
              }
            ]
          },
          {
            "id": "100228",
            "author": {
              "displayName": "Sarah Chen",
              "emailAddress": "[email protected]"
            },
            "created": "2026-08-28T09:29:55.000+0000",
            "items": [
              {
                "field": "priority",
                "fieldtype": "jira",
                "fromString": "Medium",
                "toString": "High"
              }
            ]
          }
        ]
      }
    },
    {
      "id": "10025",
      "key": "ENG-1421",
      "fields": {
        "summary": "Upgrade Tauri binary auto-updater certificate",
        "status": {
          "name": "Done",
          "statusCategory": {
            "name": "Done",
            "colorName": "green"
          }
        },
        "priority": {
          "name": "Medium",
          "id": "3"
        },
        "issuetype": {
          "name": "Task"
        },
        "assignee": {
          "displayName": "Alex Developer",
          "emailAddress": "[email protected]"
        },
        "reporter": {
          "displayName": "Sarah Chen"
        },
        "labels": [
          "desktop",
          "security"
        ],
        "created": "2026-08-26T11:00:00.000+0000",
        "updated": "2026-08-28T10:15:00.000+0000",
        "customfield_10015": "Sprint 42",
        "customfield_10020": 3
      },
      "changelog": {
        "startAt": 0,
        "maxResults": 2,
        "total": 2,
        "histories": [
          {
            "id": "100300",
            "author": {
              "displayName": "Alex Developer",
              "emailAddress": "[email protected]"
            },
            "created": "2026-08-27T14:45:00.000+0000",
            "items": [
              {
                "field": "status",
                "fieldtype": "jira",
                "fromString": "To Do",
                "toString": "In Progress"
              }
            ]
          },
          {
            "id": "100331",
            "author": {
              "displayName": "Alex Developer",
              "emailAddress": "[email protected]"
            },
            "created": "2026-08-28T10:14:12.000+0000",
            "items": [
              {
                "field": "status",
                "fieldtype": "jira",
                "fromString": "In Progress",
                "toString": "Done"
              }
            ]
          }
        ]
      }
    }
  ]
}
After: Flattened Excel (.xlsx) Columns
Clean Dot-Notation Columns
SprintStory Pointsassigneechangelog.assigneeChangeschangelog.assigneeHistorychangelog.contributors
Sprint 425Sarah Chen1Sarah ChenDevOps Bot, Sarah Chen
Sprint 423Alex Developer0Alex Developer
Zero [object Object] errors

Specific Questions

How to specific custom fields from Jira JSON?

Our converter flattens the 'fields' object, so 'fields.customfield_1001' becomes a column you can easily rename and analyze in Excel.

Can I visualize Sprint burndown charts?

Yes. Once converted to Excel, you can use the 'Created' and 'Resolution Date' columns to build custom burndown or velocity charts.

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Guides and sample files

Worked examples and realistic test payloads for this workflow.