JSON Swiss

JSON Swiss

JSON sa Excel Converter Online

Kailangan mo ba ng reverse conversion?
Excel to JSON Converter

Input ng JSON

1

Output ng Excel Preview

Mga setting

Opsyon sa Excel Export

Ilagay ang JSON data upang makita ang preview ng Excel

Ang mga array ng mga object ang pinakamagandang gumana para sa table format

6 core na feature ng JSON-to-Excel tool na ito

Live spreadsheet preview, pag-flatten ng nested data, multi-format export, opsyonal na grid→JSON sync, i-click para i-highlight sa source editor, at fully local sa browser — API payloads at logs ay nagiging Excel-ready na table nang hindi nanghuhula ng columns.

1

Buong spreadsheet preview bago mag-export

Mag-scroll, pumili, at mag-edit sa grid na parang workbook para makita ang column issues bago i-download. Gamitin ang Kopyahin ang preview para i-paste ang parehong table sa Google Sheets nang walang karagdagang export step.

2

I-flatten ang nested objects sa mga kapaki-pakinabang na column

Gawing spreadsheet fields ang mga istruktura tulad ng `customer.name` at `totals.tax` sa halip na ayusin nang mano-mano mamaya.

3

Mag-export nang higit pa sa XLSX

Mag-download ng XLSX, XLS, CSV, o ODS depende kung modern Excel, legacy compatibility, o simple data exchange ang kailangan.

4

Opsyonal na sync mula sa grid pabalik sa JSON

I-on ang «I-sync ang mga edit sa preview sa JSON» para pagsamahin ang mga pagbabago sa table sa kaliwang panel (palaging top-level JSON array ang output).

5

I-click ang cell para i-highlight ang field sa JSON

Ang pagpili ng mga cell sa preview ay nagha-highlight ng tumutugmang keys at values sa Monaco JSON editor para mabilis na mapatunayan ang mapping.

6

Panatilihing lokal ang sensitibong payload

Lahat ay tumatakbo sa browser — internal reports, customer exports, at debugging payloads ay hindi umaalis sa iyong device.

Paano i-convert ang JSON sa Excel

1Hakbang 1 – I-input o I-import ang JSON Data2Hakbang 2 – I-customize ang Excel Output3Hakbang 3 – I-download ang 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
[
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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
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 ng JSON
1
[
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{ "date": "2026-04-01", "channel": "ads", "revenue": 1820, "orders": 14 },
3
{ "date": "2026-04-02", "channel": "email", "revenue": 960, "orders": 8 }
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]
Preview ng Excel
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date | channel | revenue | orders
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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 ng JSON
1
[
2
{
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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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]
Preview ng Excel
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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 ng JSON
1
[
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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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]
Preview ng Excel
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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

    Hakbang 1 – I-input o I-import ang JSON Data

    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.

    • I-paste ang iyong JSON array ng mga object nang direkta sa editor, o i-drag at i-drop ang .json file.
    • Awtomatikong pinoproseso ng tool ang data at nagbubuo ng live spreadsheet preview sa ibaba, na nagpapakita kung paano ang hitsura ng mga column at row.
    • Kailangan ang valid na JSON format (hal., [{"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

    Hakbang 2 – I-customize ang Excel Output

    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 Nested Data: I-enable ito upang i-convert ang mga nested object (hal., address: { "city": "NY" }) sa mga hiwa-hiwalay na column tulad ng address.city.
    • Format Selection: Pumili sa pagitan ng modernong Excel (.xlsx), legacy Excel (.xls), o CSV para sa maximum compatibility.
    • Sheet Name: I-customize ang pangalan ng worksheet na lalabas sa na-download na file.
    • 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

    Hakbang 3 – I-download ang 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.

    • Suriin ang live preview upang tiyak na tama ang mga header at data alignment.
    • I-click ang "Download" button upang i-save ang file sa iyong device.
    • O gamitin ang "Copy Preview" upang kopyahin ang tab-separated values para sa mabilis na pag-paste sa Google Sheets o mga existing Excel file.
    • 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.

Mga Kaugnay na Tool

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

Excel to JSON

I-convert ang Excel spreadsheet pabalik sa JSON.

JSON to CSV

I-convert ang JSON sa CSV format.

JSON sa talahanayan

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

I-validate ang JSON

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

I-format ang JSON

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

Mga Madalas Itanong

Paano i-convert ang JSON sa Excel online?

Lang i-paste ang iyong JSON data sa input area, at awtomatikong bubuoan ka ng aming converter ng live Excel preview. Maaari mong i-download ang Excel file sa XLSX, XLS, o CSV format. Gumagana ang conversion sa mga array ng mga object, nested data, at kumplikadong JSON structures.

Anong mga JSON structure ang maaaring i-convert sa Excel?

Suportado ng aming JSON to Excel converter ang lahat ng JSON data type: mga array ng mga object (ideal para sa spreadsheet rows), mga nested object na may awtomatikong pag-flatten, mga primitive array, at kumplikadong hierarchical data. Pinapakita ng live preview kung paano lalabas ang iyong JSON sa Excel format.

Paano hinahandle ang mga nested object sa JSON to Excel conversion?

Pumili sa pagitan ng dalawang mode ng conversion: Flatten nested data (default) ay gumagawa ng hiwa-hiwalay na column na may dot notation (hal., 'user.address.city') at indexed arrays (hal., 'items[0].name'). Ang non-flatten mode ay nananatili sa nested structures bilang JSON string sa Excel cells.

Anong mga Excel format ang sinusuportahan para sa JSON conversion?

I-convert ang JSON sa maraming Excel format: XLSX (modernong Excel), XLS (legacy Excel), CSV (comma-separated values), at ODS (OpenDocument). Lahat ng format ay nagpapanatili ng data integrity at sumusuporta sa custom headers at sheet names.

Maaari ko bang i-preview ang JSON data bago i-convert sa Excel?

Oo! Kasama ang aming JSON to Excel converter ng live table preview na nagpapakita kung paano lalabas ang iyong data sa Excel. Ang preview ay gumagamit ng Excel-style na pangalan ng column (A, B, C...) at awtomatikong ina-update kapag nagbago mo ang conversion settings.

Paano i-import ang JSON data sa Excel spreadsheets?

Gamitin ang aming online JSON to Excel converter upang i-transform ang iyong JSON data sa Excel format. Awtomatikong dinidetect ng tool ang mga data structure, hinahandle ang mga nested object, at nagbibigay ng mga na-customize na export option kabilang ang sheet names, headers, at maraming Excel format.

Libre ba gamitin ang JSON to Excel converter?

Oo, ang aming JSON to Excel conversion tool ay ganap na libre. I-convert ang unlimitadong JSON file sa Excel format online nang walang registration, download, o usage limit. Ang iyong data ay pinoproseso nang lokal para sa privacy at security.

Maaari ko bang i-customize ang Excel output mula sa JSON conversion?

Tiyak! I-customize ang sheet names, i-toggle ang column headers, pumili sa pagitan ng XLSX/XLS/CSV format, at kontrolin kung paano i-flatten ang nested data. Lahat ng setting ay naire-reflekt sa parehong live preview at na-download na Excel file.

Ligtas ba ang aking data?

Oo, lahat ng data processing ay nangyayari nang buong sa iyong browser. Ang iyong JSON data ay hindi kailanman pinapadala sa anumang server, na tinitiyak ang kabuuan na privacy at security.