JSON Swiss

JSON Swiss

Convertitore JSON in Excel Online

Ti serve la conversione inversa?
Excel to JSON Converter

Input JSON

1

Output Excel Preview

Impostazioni

Opzioni esportazione Excel

Inserisci dati JSON per vedere l'anteprima Excel

Gli array di oggetti funzionano meglio per il formato tabella

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.

Come convertire JSON in Excel

1Passo 1 – Input o importa dati JSON2Passo 2 – Personalizza output Excel3Passo 3 – Scarica foglio di calcolo4Download 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" },
9
"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
]
Anteprima 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
]
Anteprima 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",
4
"owner": "Nina",
5
"payload": { "traceId": "abc-123", "retry": 2, "source": "worker" }
6
}
7
]
Anteprima 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

    Passo 1 – Input o importa dati 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.

    • Incolla il tuo array di oggetti JSON direttamente nell'editor, o trascina e rilascia un file .json.
    • Lo strumento elabora istantaneamente i dati e genera un'anteprima foglio di calcolo dal vivo sotto, mostrando esattamente come appariranno colonne e righe.
    • È richiesto un formato JSON valido (ad es. [{"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

    Passo 2 – Personalizza 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.

    • Appiattisci dati annidati: attiva questo per convertire oggetti annidati (ad es. address: { "city": "NY" }) in colonne separate come address.city.
    • Selezione formato: scegli tra Excel moderno (.xlsx), Excel legacy (.xls) o CSV per massima compatibilità.
    • Nome foglio: personalizza il nome del foglio di lavoro che apparirà nel file scaricato.
    • 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

    Passo 3 – Scarica foglio di calcolo

    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.

    • Verifica l'anteprima dal vivo per assicurarti che intestazioni e allineamento dati siano corretti.
    • Fai clic sul pulsante "Scarica" per salvare il file sul tuo dispositivo.
    • Oppure usa "Copia anteprima" per copiare i valori separati da tab per un incollaggio rapido in Google Sheets o file Excel esistenti.
    • 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.

Strumenti correlati

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

Excel in JSON

Riconverti fogli di calcolo Excel in JSON.

JSON in CSV

Converti JSON in formato CSV.

JSON in tabella

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

Valida JSON

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

Formatta JSON

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

Domande frequenti

Come convertire JSON in Excel online?

Semplicemente incolla i dati JSON nell'area di input e il nostro convertitore genererà istantaneamente un'anteprima Excel dal vivo. Puoi quindi scaricare il file Excel nei formati XLSX, XLS o CSV. La conversione funziona con array di oggetti, dati annidati e strutture JSON complesse.

Quali strutture JSON possono essere convertite in Excel?

Il nostro convertitore JSON in Excel supporta tutti i tipi di dati JSON: array di oggetti (ideale per righe di foglio di calcolo), oggetti annidati con appiattimento automatico, array primitivi e dati gerarchici complessi. L'anteprima dal vivo mostra esattamente come il tuo JSON apparirà in formato Excel.

Come vengono gestiti gli oggetti annidati nella conversione da JSON a Excel?

Scegli tra due modalità di conversione: Appiattisci dati annidati (predefinito) crea colonne separate con notazione punto (ad es. 'user.address.city') e array indicizzati (ad es. 'items[0].name'). La modalità non-appiattimento preserva strutture annidate come stringhe JSON nelle celle Excel.

Quali formati Excel sono supportati per la conversione JSON?

Converti JSON in più formati Excel: XLSX (Excel moderno), XLS (Excel legacy), CSV (valori separati da virgola) e ODS (OpenDocument). Tutti i formati mantengono l'integrità dei dati e supportano intestazioni e nomi foglio personalizzati.

Posso anteprima i dati JSON prima di convertire in Excel?

Sì! Il nostro convertitore JSON in Excel include un'anteprima tabella dal vivo che mostra esattamente come appariranno i dati in Excel. L'anteprima usa nomi colonna in stile Excel (A, B, C...) e si aggiorna automaticamente quando cambi le impostazioni di conversione.

Come importare dati JSON in fogli di calcolo Excel?

Usa il nostro convertitore JSON in Excel online per trasformare i dati JSON in formato Excel. Lo strumento rileva automaticamente le strutture dati, gestisce oggetti annidati e fornisce opzioni di esportazione personalizzabili inclusi nomi foglio, intestazioni e più formati Excel.

Il convertitore JSON in Excel è gratuito?

Sì, il nostro strumento di conversione JSON in Excel è completamente gratuito. Converti file JSON illimitati in formato Excel online senza registrazione, download o limiti di utilizzo. I dati vengono elaborati localmente per privacy e sicurezza.

Posso personalizzare l'output Excel dalla conversione JSON?

Assolutamente! Personalizza nomi foglio, attiva/disattiva intestazioni colonna, scegli tra formati XLSX/XLS/CSV e controlla come vengono appiattiti i dati annidati. Tutte le impostazioni si riflettono sia nell'anteprima dal vivo che nel file Excel scaricato.

I miei dati sono al sicuro?

Sì, tutta l'elaborazione dei dati avviene interamente nel tuo browser. I tuoi dati JSON non vengono mai inviati ad alcun server, garantendo completa privacy e sicurezza.