Filewisp
日本語

DynamoDB JSON Converter

Convert DynamoDB typed JSON, JSON Lines, and S3 export .json.gz files to plain JSON, CSV, or Excel in your browser.

Checks before and after data conversion

1Before converting

  • Keep the source file and confirm its encoding and data format.
  • Check whether the first row contains headers and whether field names look correct.
  • For personal or sensitive data, confirm where processing happens and who will receive the output.

2After converting

  • Use the preview to verify text, column names, and row counts.
  • Open the result in Excel or the destination system and check dates and long numbers.
  • Save the converted file under a new name so it can be compared with the source.

Common next steps

Fix CSV Encoding

Fix CSV character encoding before opening the data in Excel or continuing the workflow.

JSON to CSV

Turn JSON into a portable CSV for spreadsheets and downstream systems.

Parquet to CSV

Export Parquet data as CSV for quick inspection and easier sharing.

What is DynamoDB JSON Converter?

Unmarshall AttributeValue types such as S, N, BOOL, M, and L into ordinary values and spreadsheet columns. Full and incremental exports are supported.

Read DynamoDB S3 exports directly

Read gzip-compressed JSON Lines from full DynamoDB exports, Scan responses with an Items array, and incremental records containing Keys, NewImage, or OldImage.

N values stay as strings to avoid losing precision. Nested maps become dot-notation columns, while sets and lists remain JSON arrays.

Supported DynamoDB formats

  • S, N, B, BOOL, and NULL
  • SS, NS, and BS sets
  • Nested M and L values
  • Full-export Item records
  • Incremental Keys, NewImage, and OldImage
  • .json, .jsonl, and .json.gz

Choose an output format

Plain JSON
Removes type wrappers for reuse in applications and scripts.
CSV
Useful for quick inspection and portable downstream imports.
Excel
Useful for spreadsheet review and business sharing.

How to use

  1. 1Choose a DynamoDB JSON, JSONL, or JSON.GZ file
  2. 2Click convert
  3. 3Review columns and sample rows
  4. 4Download plain JSON, CSV, or Excel

FAQ

Are DynamoDB numbers converted to JavaScript numbers?

No. N values are emitted as strings so very large values do not lose precision.

Does it support incremental exports?

Yes. Keys, NewImage, OldImage, and Metadata are preserved and flattened into columns.

Is the file uploaded to AWS or another server?

No. Decompression and conversion run in your browser.

Related tools for the next step

Textract JSON to ExcelCloudTrail Log to CSVS3 Inventory ViewerAWS export formats guide

Need help choosing the right workflow?

The guide section covers format differences, compression tips, and common PDF workflows.

Browse guides