JSON Swiss

JSON Swiss

Conversor Online de JSON para Excel

Precisa da conversão inversa?
Excel to JSON Converter

Entrada JSON

1

Saída Excel Preview

Configurações

Opções de exportação Excel

Insira dados JSON para ver a prévia do Excel

Arrays de objetos funcionam melhor para formato de tabela

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.

Como converter JSON para Excel

1Etapa 1 – Entrada ou importação de dados JSON2Etapa 2 – Personalize a saída Excel3Etapa 3 – Baixe a planilha4Download 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.

Entrada 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
]
Prévia do 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.

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

Entrada JSON
1
[
2
{
3
"ticket": "INC-42",
4
"owner": "Nina",
5
"payload": { "traceId": "abc-123", "retry": 2, "source": "worker" }
6
}
7
]
Prévia do 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

    Etapa 1 – Entrada ou importação de dados 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.

    • Cole seu array de objetos JSON diretamente no editor, ou arraste e solte um arquivo .json.
    • A ferramenta processa os dados instantaneamente e gera uma prévia de planilha ao vivo abaixo, mostrando exatamente como colunas e linhas aparecerão.
    • Formato JSON válido é necessário (por exemplo, [{"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

    Etapa 2 – Personalize a saída 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.

    • Aplainar dados aninhados: habilite isso para converter objetos aninhados (por exemplo, address: { "city": "NY" }) em colunas separadas como address.city.
    • Seleção de formato: escolha entre Excel moderno (.xlsx), Excel legado (.xls) ou CSV para máxima compatibilidade.
    • Nome da planilha: personalize o nome da planilha que aparecerá no arquivo baixado.
    • 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

    Etapa 3 – Baixe a planilha

    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.

    • Revise a prévia ao vivo para garantir que cabeçalhos e alinhamento de dados estejam corretos.
    • Clique no botão "Baixar" para salvar o arquivo no seu dispositivo.
    • Ou use "Copiar prévia" para copiar os valores separados por tabulação para colagem rápida no Google Sheets ou arquivos Excel existentes.
    • 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.

Ferramentas relacionadas

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

Excel para JSON

Converta planilhas Excel de volta para JSON.

JSON para CSV

Converta JSON para formato CSV.

JSON para tabela

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

Validar JSON

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

Formatar JSON

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

Perguntas Frequentes

Como converter JSON para Excel online?

Simplesmente cole seus dados JSON na área de entrada, e nosso conversor gerará instantaneamente uma prévia Excel ao vivo. Você pode então baixar o arquivo Excel nos formatos XLSX, XLS ou CSV. A conversão funciona com arrays de objetos, dados aninhados e estruturas JSON complexas.

Que estruturas JSON podem ser convertidas para Excel?

Nosso conversor de JSON para Excel suporta todos os tipos de dados JSON: arrays de objetos (ideal para linhas de planilha), objetos aninhados com aplainamento automático, arrays primitivos e dados hierárquicos complexos. A prévia ao vivo mostra exatamente como seu JSON aparecerá no formato Excel.

Como objetos aninhados são tratados na conversão de JSON para Excel?

Escolha entre dois modos de conversão: Aplainar dados aninhados (padrão) cria colunas separadas com notação de ponto (por exemplo, "user.address.city") e arrays indexados (por exemplo, "items[0].name"). O modo não aplainado preserva estruturas aninhadas como strings JSON nas células do Excel.

Que formatos Excel são suportados para conversão JSON?

Converta JSON para múltiplos formatos Excel: XLSX (Excel moderno), XLS (Excel legado), CSV (valores separados por vírgula) e ODS (OpenDocument). Todos os formatos mantêm integridade de dados e suportam cabeçalhos personalizados e nomes de planilha.

Posso visualizar dados JSON antes de converter para Excel?

Sim! Nosso conversor de JSON para Excel inclui uma prévia de tabela ao vivo que mostra exatamente como seus dados aparecerão no Excel. A prévia usa nomes de colunas estilo Excel (A, B, C...) e é atualizada automaticamente quando você altera as configurações de conversão.

Como importar dados JSON para planilhas Excel?

Use nosso conversor online de JSON para Excel para transformar seus dados JSON em formato Excel. A ferramenta detecta automaticamente estruturas de dados, lida com objetos aninhados e fornece opções de exportação personalizáveis, incluindo nomes de planilha, cabeçalhos e múltiplos formatos Excel.

O conversor de JSON para Excel é gratuito?

Sim, nossa ferramenta de conversão de JSON para Excel é completamente gratuita. Converta arquivos JSON ilimitados para formato Excel online sem registro, downloads ou limites de uso. Seus dados são processados localmente para privacidade e segurança.

Posso personalizar a saída Excel da conversão JSON?

Absolutamente! Personalize nomes de planilha, alterne cabeçalhos de coluna, escolha entre formatos XLSX/XLS/CSV e controle como dados aninhados são aplainados. Todas as configurações são refletidas na prévia ao vivo e no arquivo Excel baixado.

Meus dados estão seguros?

Sim, todo o processamento de dados acontece inteiramente no seu navegador. Seus dados JSON nunca são enviados para qualquer servidor, garantindo privacidade e segurança completas.