線上 JSON 轉 Excel 轉換器

需要反向轉換嗎?
Excel to JSON Converter

JSON 輸入

1

Excel Preview 輸出

設定

Excel 匯出選項

輸入 JSON 資料以查看 Excel 預覽

物件陣列最適合表格格式

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.

如何將 JSON 轉換為 Excel

1步驟 1 – 輸入或匯入 JSON 資料2步驟 2 – 自訂 Excel 輸出3步驟 3 – 下載試算表4Download 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
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[
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{
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"customer": { "name": "Ava", "tier": "Pro" },
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"totals": { "subtotal": 1299, "tax": 88 },
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"status": "paid"
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},
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{
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"customer": { "name": "Leo", "tier": "Starter" },
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"totals": { "subtotal": 860, "tax": 54 },
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"status": "pending"
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}
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]
Live spreadsheet preview (editable)
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customer.name | customer.tier | totals.subtotal | totals.tax | status
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Ava | Pro | 1299 | 88 | paid
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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.

JSON 輸入
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[
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{ "date": "2026-04-01", "channel": "ads", "revenue": 1820, "orders": 14 },
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{ "date": "2026-04-02", "channel": "email", "revenue": 960, "orders": 8 }
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]
Excel 預覽
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date | channel | revenue | orders
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2026-04-01 | ads | 1820 | 14
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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.

JSON 輸入
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[
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{
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"orderId": "SO-1001",
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"customer": { "name": "Maeve", "region": "EU" },
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"totals": { "subtotal": 520, "shipping": 18 }
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}
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]
Excel 預覽
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orderId | customer.name | customer.region | totals.subtotal | totals.shipping
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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.

JSON 輸入
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[
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{
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"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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]
Excel 預覽
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ticket | owner | payload
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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

    步驟 1 – 輸入或匯入 JSON 資料

    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.

    • 將您的 JSON 物件陣列直接貼到編輯器中,或拖放 .json 檔案。
    • 工具會立即處理資料,並在下方產生即時試算表預覽,顯示欄與列的確切外觀。
    • 需要有效的 JSON 格式(例如:[{"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

    步驟 2 – 自訂 Excel 輸出

    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.

    • 扁平化巢狀資料:啟用此項可將巢狀物件(例如:address: { "city": "NY" })轉換為獨立欄位,如 address.city。
    • 格式選擇:選擇現代 Excel (.xlsx)、舊版 Excel (.xls) 或 CSV 以獲得最大相容性。
    • 工作表名稱:自訂下載檔案中會出現的工作表名稱。
    • 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

    步驟 3 – 下載試算表

    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.

    • 檢視即時預覽以確保標題列與資料對齊正確。
    • 點擊「下載」按鈕將檔案儲存到您的裝置。
    • 或使用「複製預覽」複製 Tab 分隔的值,以便快速貼上到 Google Sheets 或現有的 Excel 檔案中。
    • 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.

相關工具

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

常見問題

如何線上將 JSON 轉換為 Excel?

只需將您的 JSON 資料貼到輸入區域,我們的轉換器會立即產生即時 Excel 預覽。然後您可以下載 XLSX、XLS 或 CSV 格式的 Excel 檔案。此轉換可處理物件陣列、巢狀資料與複雜的 JSON 結構。

哪些 JSON 結構可以轉換為 Excel?

我們的 JSON 轉 Excel 轉換器支援所有 JSON 資料型別:物件陣列(最適合試算表列)、具有自動扁平化的巢狀物件、基本陣列以及複雜的階層式資料。即時預覽會顯示您的 JSON 在 Excel 格式中的確切外觀。

JSON 轉 Excel 轉換中如何處理巢狀物件?

選擇兩種轉換模式之一:扁平化巢狀資料(預設)會使用點號標記法(例如:'user.address.city')與索引陣列(例如:'items[0].name')建立獨立欄位。非扁平化模式會將巢狀結構保留為 Excel 儲存格中的 JSON 字串。

JSON 轉換支援哪些 Excel 格式?

將 JSON 轉換為多種 Excel 格式:XLSX(現代 Excel)、XLS(舊版 Excel)、CSV(逗號分隔值)與 ODS(OpenDocument)。所有格式都維持資料完整性,並支援自訂標題列與工作表名稱。

我可以在轉換為 Excel 之前預覽 JSON 資料嗎?

可以!我們的 JSON 轉 Excel 轉換器包含即時表格預覽,會顯示您的資料在 Excel 中的確切外觀。預覽使用 Excel 風格的欄位名稱(A、B、C...),並在您變更轉換設定時自動更新。

如何將 JSON 資料匯入 Excel 試算表?

使用我們的線上 JSON 轉 Excel 轉換器將您的 JSON 資料轉換為 Excel 格式。工具會自動偵測資料結構、處理巢狀物件,並提供可自訂的匯出選項,包括工作表名稱、標題列與多種 Excel 格式。

JSON 轉 Excel 轉換器免費嗎?

是的,我們的 JSON 轉 Excel 轉換工具完全免費。可線上將無限的 JSON 檔案轉換為 Excel 格式,無需註冊、下載或使用限制。您的資料會在本機處理以保護隱私與安全。

我可以自訂 JSON 轉換的 Excel 輸出嗎?

當然!您可以自訂工作表名稱、切換欄位標題、選擇 XLSX/XLS/CSV 格式,以及控制巢狀資料如何扁平化。所有設定都會反映在即時預覽與下載的 Excel 檔案中。

我的資料安全嗎?

安全,所有資料處理完全在您的瀏覽器中進行。您的 JSON 資料從不會傳送到任何伺服器,確保完整的隱私與安全。