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S3 Inventory Viewer & Converter

Open an Amazon S3 Inventory manifest with CSV.GZ or Parquet data files, inspect object rows, and export merged CSV or Excel.

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 S3 Inventory Viewer?

Use fileSchema from manifest.json as headers for headerless CSV.GZ data, and merge multiple inventory data objects into one table.

Select the manifest and data files together

An S3 Inventory consists of manifest.json plus one or more CSV.GZ, ORC, or Parquet data objects. Download the manifest with its CSV.GZ or Parquet files and select them together here.

CSV columns follow fileSchema from the manifest. Parquet columns come from the file schema, and multiple files are merged across their common columns.

Inventory fields you can inspect

  • Bucket, Key, and VersionId
  • Size, LastModifiedDate, and ETag
  • StorageClass, IsLatest, and DeleteMarker
  • Optional encryption, replication, and Object Lock fields
  • Source data filename

Supported formats

CSV.GZ
Uses fileSchema from the manifest to label headerless CSV rows.
Parquet
Reads columns and values directly from the Parquet schema.
ORC
Not currently supported; configure Inventory to use CSV or Parquet.

How to use

  1. 1Download manifest.json and its data objects
  2. 2Select the manifest plus CSV.GZ or Parquet files
  3. 3Click load and inspect the rows
  4. 4Download merged CSV or Excel

FAQ

Can the manifest alone show object rows?

No. The manifest contains locations and schema; actual object rows are stored in CSV.GZ or Parquet data files.

Can it merge split data files?

Yes. Selected files are aligned to a shared set of columns and merged.

Does it connect directly to S3?

No. It uses no credentials and processes only files already downloaded to your device.

Related tools for the next step

DynamoDB JSON ConverterTextract JSON to ExcelCloudTrail Log to CSVAWS export formats guide

Need help choosing the right workflow?

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

Browse guides