Does this tool support newline-delimited JSON (NDJSON)?

Yes. Deliteful accepts both standard JSON arrays ([ {...}, {...} ]) and NDJSON files where each line is a separate JSON object. NDJSON is common in BigQuery exports, Kafka outputs, and structured log files.

How are column headers determined?

Headers are derived from the keys of the first JSON record. If later records contain additional keys not present in the first record, those fields may be omitted from the output. Structure your export or sample accordingly.

What happens to nested objects and arrays?

Nested objects and arrays are serialized to text strings in the corresponding cell. For quick inspection and stakeholder sharing this is usually sufficient; for deep nested structures, flatten your JSON upstream before conversion.

Is there a row limit?

Excel has a maximum of 1,048,576 rows per worksheet. Files that exceed this limit are truncated at that row count. For very large datasets, split the file before uploading.

Can I convert multiple JSON files at once?

Yes. Each uploaded JSON file produces one corresponding .xlsx output file, processed in the same job.

Convert JSON Files to Excel Spreadsheets — Built for Data Engineers

When stakeholders ask for a quick Excel view of your API output or pipeline data, wrangling JSON into a spreadsheet by hand wastes time you don't have. Deliteful converts standard JSON arrays and NDJSON files directly into .xlsx spreadsheets — no pandas, no scripting, no setup.

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Data engineers routinely extract JSON from APIs, data lakes, or message queues and need to hand off tabular snapshots to analysts or product managers. Writing a one-off conversion script is tedious, and full ETL tooling is overkill for ad-hoc review. Deliteful handles the conversion server-side in seconds, producing a clean .xlsx file with headers derived from the first record.

The tool supports both standard JSON arrays and newline-delimited JSON (NDJSON), the format emitted by Kafka consumers, BigQuery exports, and many logging pipelines. Nested objects and arrays are flattened to text values, which is appropriate for quick inspection and sharing. Each input file produces one output worksheet — predictable, repeatable, no surprises.

How it works

1
Sign in
Create your free Deliteful account using Google OAuth — takes about 3 clicks, no card required.
2
Upload your JSON file
Upload a standard JSON array or NDJSON file (up to your plan's file size limit).
3
Run the conversion
Deliteful processes the file server-side, deriving column headers from the first record and writing each object as a row.
4
Download the .xlsx
Download the resulting Excel file and share it with analysts or stakeholders immediately.

Frequently asked questions

Does this tool support newline-delimited JSON (NDJSON)?: Yes. Deliteful accepts both standard JSON arrays ([ {...}, {...} ]) and NDJSON files where each line is a separate JSON object. NDJSON is common in BigQuery exports, Kafka outputs, and structured log files.
How are column headers determined?: Headers are derived from the keys of the first JSON record. If later records contain additional keys not present in the first record, those fields may be omitted from the output. Structure your export or sample accordingly.
What happens to nested objects and arrays?: Nested objects and arrays are serialized to text strings in the corresponding cell. For quick inspection and stakeholder sharing this is usually sufficient; for deep nested structures, flatten your JSON upstream before conversion.
Is there a row limit?: Excel has a maximum of 1,048,576 rows per worksheet. Files that exceed this limit are truncated at that row count. For very large datasets, split the file before uploading.
Can I convert multiple JSON files at once?: Yes. Each uploaded JSON file produces one corresponding .xlsx output file, processed in the same job.

Create your free Deliteful account with Google and convert your next JSON export to Excel in seconds — no script required.