JSON Swiss

JSON Swiss

Konverter JSON ke Excel Online

Butuh konversi sebaliknya?
Excel to JSON Converter

Input JSON

1

Output Excel Preview

Pengaturan

Opsi Ekspor Excel

Masukkan data JSON untuk melihat pratinjau Excel

Array objek paling cocok untuk format tabel

6 core advantages of this JSON to Excel workflow

Built for when API payloads and logs need to become something teammates can sort in Excel — with a real grid, not just a static screenshot.

1

Full spreadsheet preview before export

Scroll, select, and edit in a workbook-style grid so column issues show up before you download. Use Copy Preview to paste the same table into Google Sheets without an extra export step.

2

Flatten nested objects into usable columns

Convert structures like `customer.name` and `totals.tax` into spreadsheet fields instead of fixing them by hand later.

3

Export beyond just XLSX

Download XLSX, XLS, CSV, or ODS depending on whether you need modern Excel, legacy compatibility, or simple data exchange.

4

Optional sync from grid back to JSON

Turn on “Sync preview edits to JSON” when you want table changes merged into the left editor (output is a top-level JSON array).

5

Click a cell to highlight the field in JSON

Selecting cells in the preview highlights the matching keys and values in the Monaco JSON editor so you can verify mappings quickly.

6

Keep sensitive payloads local

Everything runs in the browser, so internal reports, customer exports, and debugging payloads stay on your machine.

Cara mengkonversi JSON ke Excel

1Langkah 1 – Input atau Impor Data JSON2Langkah 2 – Sesuaikan Output Excel3Langkah 3 – Unduh Spreadsheet4Download the right spreadsheet and move the clean result downstream

Treat this page as review-and-export: paste JSON, tune flattening, use the interactive grid like a mini Excel, optionally sync edits back to JSON or click cells to see the source field, then download XLSX, CSV, or another format when the layout is right.

See the spreadsheet shape before export

Review flattened columns before the workbook is generated

This is where the page saves time: nested JSON becomes spreadsheet-ready fields, and you can verify the column structure before creating the Excel file.

Input JSON
1
[
2
{
3
"customer": { "name": "Ava", "tier": "Pro" },
4
"totals": { "subtotal": 1299, "tax": 88 },
5
"status": "paid"
6
},
7
{
8
"customer": { "name": "Leo", "tier": "Starter" },
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"totals": { "subtotal": 860, "tax": 54 },
10
"status": "pending"
11
}
12
]
Live spreadsheet preview (editable)
1
customer.name | customer.tier | totals.subtotal | totals.tax | status
2
Ava | Pro | 1299 | 88 | paid
3
Leo | Starter | 860 | 54 | pending

Wrong headers? Adjust flattening here. Need the JSON to match the grid? Enable sync after you are happy with the table.

3 JSON to Excel examples that match real spreadsheet work

Reporting rollups, operational order exports, and audit-friendly payloads — each scenario maps to how you might flatten, preview, and download from this page.

Reporting

Export API records into clean analysis columns

Useful when analytics, finance, or operations teams need rows and columns rather than raw API responses.

Input JSON
1
[
2
{ "date": "2026-04-01", "channel": "ads", "revenue": 1820, "orders": 14 },
3
{ "date": "2026-04-02", "channel": "email", "revenue": 960, "orders": 8 }
4
]
Pratinjau Excel
1
date | channel | revenue | orders
2
2026-04-01 | ads | 1820 | 14
3
2026-04-02 | email | 960 | 8

This is the happy path: consistent objects become a spreadsheet immediately with almost no cleanup.

Operations

Flatten nested order data so spreadsheet users can filter it

When business users need to sort by customer, totals, or status, flattening nested objects into columns is usually the right move.

Input JSON
1
[
2
{
3
"orderId": "SO-1001",
4
"customer": { "name": "Maeve", "region": "EU" },
5
"totals": { "subtotal": 520, "shipping": 18 }
6
}
7
]
Pratinjau Excel
1
orderId | customer.name | customer.region | totals.subtotal | totals.shipping
2
SO-1001 | Maeve | EU | 520 | 18

The more spreadsheet-native the columns look here, the less manual restructuring happens later in Excel.

Audit

Keep nested payloads as JSON strings when context matters

Sometimes the goal is not to split every field apart, but to preserve nested details in a workbook for review or handoff.

Input JSON
1
[
2
{
3
"ticket": "INC-42",
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"owner": "Nina",
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"payload": { "traceId": "abc-123", "retry": 2, "source": "worker" }
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}
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]
Pratinjau Excel
1
ticket | owner | payload
2
INC-42 | Nina | {"traceId":"abc-123","retry":2,"source":"worker"}

Turning flattening off works well when you want one readable row plus the original nested context preserved in a cell.

  1. 01

    Workflow Step

    Langkah 1 – Input atau Impor Data JSON

    Start with the real payload, not a manually simplified copy. The preview is only useful if it reflects the same JSON your team, client, or downstream workflow will use.

    • Tempel array objek JSON Anda langsung ke editor, atau drag and drop file .json.
    • Alat ini secara instan memproses data dan menghasilkan pratinjau spreadsheet langsung di bawah, menunjukkan persis bagaimana kolom dan baris akan muncul.
    • Format JSON yang valid diperlukan (misalnya, [{"name": "Alice", "age": 30}, ...]).
    • If the JSON is invalid, fix it in the validator or formatter first so the table preview reflects real data rather than parser errors.
    • Use the rawest useful version of the payload so you can decide column structure from the original data instead of a hand-edited sample.
  2. 02

    Workflow Step

    Langkah 2 – Sesuaikan Output Excel

    This is the highest-leverage decision in the workflow. A spreadsheet becomes useful when each column means something stable, so choose whether nested data should be flattened into columns or preserved as JSON inside cells.

    • Flatten Data Bersarang: Aktifkan ini untuk mengkonversi objek bersarang (misalnya, address: { "city": "NY" }) menjadi kolom terpisah seperti address.city.
    • Pemilihan Format: Pilih antara Excel modern (.xlsx), Excel legacy (.xls), atau CSV untuk kompatibilitas maksimum.
    • Nama Sheet: Sesuaikan nama worksheet yang akan muncul di file yang diunduh.
    • Choose the output format early: XLSX for modern Excel, XLS for legacy compatibility, CSV for lightweight exchange, or ODS for OpenDocument workflows.
    • Keep Include Headers enabled for most business exports, because column names are what make the sheet understandable once it leaves this page.
  3. 03

    Workflow Step

    Langkah 3 – Unduh Spreadsheet

    The preview is a real table: select cells to highlight the corresponding JSON properties on the left, edit values when you need quick fixes, and enable sync if those edits should flow back into the JSON editor.

    • Tinjau pratinjau langsung untuk memastikan header dan perataan data sudah benar.
    • Klik tombol "Unduh" untuk menyimpan file ke perangkat Anda.
    • Atau gunakan "Salin Pratinjau" untuk menyalin nilai yang dipisahkan tab untuk penempelan cepat ke Google Sheets atau file Excel yang ada.
    • Enable “Sync preview edits to JSON” only when you intentionally want the grid to overwrite the left panel (result is always a top-level array).
    • Use Copy Preview for a fast paste into Google Sheets without downloading a file.
  4. 04

    Workflow Step

    Step 4 - Download the right spreadsheet and move the clean result downstream

    Downloads use the current grid (including your cell edits), not just the original paste. Pick the format that fits the next tool in your chain.

    • Download XLSX when the spreadsheet is going to Excel users who need filters, worksheets, and standard workbook behavior.
    • Use CSV when the file is headed to Google Sheets, BI imports, or systems that expect simple tabular data.
    • If the next step is data cleanup rather than sharing, copy the preview into a spreadsheet tool first and keep the raw JSON nearby for traceability.
    • For round-trip workflows, pair this page with Excel to JSON so spreadsheet edits can be turned back into structured data later.
    • When the spreadsheet looks wrong, go back to the preview stage instead of exporting anyway. It is faster to fix column structure here than in Excel after download.

A more reliable JSON to Excel workflow

1

Validate the JSON first if the payload came from logs, copy-paste, or an unreliable upstream source.

2

Choose flattening based on how spreadsheet users will filter or review the data, not just on how the JSON happens to be shaped.

3

Use cell selection to confirm which JSON property feeds each column before you export.

4

Read the preview header row before downloading anything, because header mistakes are the fastest signal of a bad export shape.

5

Use Copy Preview for quick Sheets work and download XLSX or CSV only when you know the table layout is right.

6

Pair this page with Excel to JSON when the spreadsheet will come back into a structured data workflow later.

Interactive preview plus optional JSON sync turns this from a one-shot converter into a practical bridge between APIs and Excel-ready tables.

Quick tips

If the preview columns feel too wide or too fragmented, revisit flattening before export.
Keep headers enabled unless you already know the spreadsheet is going into a fixed import template.
Arrays with inconsistent object shapes often create sparse columns, so inspect a few source records first.
Use cell selection to sanity-check which JSON property feeds each column before you ship a file.
For repeat workflows, keep the exported sheet format consistent so downstream imports do not break on file type changes.

Alat Terkait

Use these tools with JSON to Excel when the spreadsheet is only one step in a larger cleanup, validation, or round-trip workflow.

Excel ke JSON

Konversi spreadsheet Excel kembali ke JSON.

JSON ke CSV

Konversi JSON ke format CSV.

JSON ke tabel

Review and adjust JSON in a spreadsheet-like table before deciding how it should export.

Validasi JSON

Validate raw JSON first so broken payloads do not turn into misleading spreadsheet output.

Format JSON

Format and clean the source JSON before export when you need easier field-by-field inspection.

Pertanyaan yang Sering Diajukan

Cara mengkonversi JSON ke Excel secara online?

Cukup tempelkan data JSON Anda ke area input, dan konverter kami akan secara instan menghasilkan pratinjau Excel langsung. Anda kemudian dapat mengunduh file Excel dalam format XLSX, XLS, atau CSV. Konversi bekerja dengan array objek, data bersarang, dan struktur JSON yang kompleks.

Struktur JSON apa yang dapat dikonversi ke Excel?

Konverter JSON ke Excel kami mendukung semua tipe data JSON: array objek (ideal untuk baris spreadsheet), objek bersarang dengan flattening otomatis, array primitif, dan data hierarkis yang kompleks. Pratinjau langsung menunjukkan persis bagaimana JSON Anda akan muncul dalam format Excel.

Bagaimana objek bersarang ditangani dalam konversi JSON ke Excel?

Pilih antara dua mode konversi: Flatten data bersarang (default) membuat kolom terpisah dengan notasi titik (misalnya 'user.address.city') dan array terindeks (misalnya 'items[0].name'). Mode non-flatten mempertahankan struktur bersarang sebagai string JSON dalam sel Excel.

Format Excel apa yang didukung untuk konversi JSON?

Konversi JSON ke beberapa format Excel: XLSX (Excel modern), XLS (Excel legacy), CSV (nilai yang dipisahkan koma), dan ODS (OpenDocument). Semua format mempertahankan integritas data dan mendukung header kustom dan nama sheet.

Bisakah saya mempratinjau data JSON sebelum mengkonversi ke Excel?

Ya! Konverter JSON ke Excel kami menyertakan pratinjau tabel langsung yang menunjukkan persis bagaimana data Anda akan muncul di Excel. Pratinjau menggunakan nama kolom bergaya Excel (A, B, C...) dan diperbarui secara otomatis saat Anda mengubah pengaturan konversi.

Cara mengimpor data JSON ke spreadsheet Excel?

Gunakan konverter JSON ke Excel online kami untuk mengubah data JSON Anda menjadi format Excel. Alat ini secara otomatis mendeteksi struktur data, menangani objek bersarang, dan menyediakan opsi ekspor yang dapat disesuaikan termasuk nama sheet, header, dan beberapa format Excel.

Apakah konverter JSON ke Excel gratis digunakan?

Ya, alat konversi JSON ke Excel kami sepenuhnya gratis. Konversi file JSON tak terbatas ke format Excel secara online tanpa registrasi, unduhan, atau batas penggunaan. Data Anda diproses secara lokal untuk privasi dan keamanan.

Bisakah saya menyesuaikan output Excel dari konversi JSON?

Tentu saja! Sesuaikan nama sheet, aktifkan/nonaktifkan header kolom, pilih antara format XLSX/XLS/CSV, dan kontrol bagaimana data bersarang di-flatten. Semua pengaturan tercermin dalam pratinjau langsung dan file Excel yang diunduh.

Apakah data saya aman?

Ya, semua pemrosesan data terjadi sepenuhnya di browser Anda. Data JSON Anda tidak pernah dikirim ke server mana pun, memastikan privasi dan keamanan yang lengkap.