How to Batch Clean Multiple CSV Files on Windows

Why Batch Cleaning Starts With a Saved Template

Batch processing is designed for repeatable data-cleaning work. REC CSV Cleaner Pro therefore uses a saved schema-aware template rather than asking you to rebuild the cleaning workflow for every file in the queue.

The template contains the ordered workflow and the source schema it was authored against. Each queued file can then be checked for compatibility before any transformation runs.

How to Batch Clean Multiple CSV Files on Windows

1. 1

   Create and save a schema-aware workflow

   Build and review the cleaning workflow on a representative source file, then save it as a schema-aware template so the batch processor has both the workflow and its expected source schema.

2. 2

   Open Batch and select the template

   Open the Batch workspace from the application and select the saved schema-aware template you want to apply.

3. 3

   Add files or a folder

   Add individual CSV, TSV, TXT, or XLSX files, or choose a folder. Subfolder discovery is optional and can be enabled when needed.

4. 4

   Choose the output location

   Select the folder where processed files should be written and choose the supported output format for the batch.

5. 5

   Run preflight

   REC CSV Cleaner Pro inspects each file before processing. Files that need import review, schema mapping, or other attention are surfaced before the batch can run.

6. 6

   Review mappings and compatibility

   Confirm non-exact column mappings and resolve files that require import review. Files that are ready can then use the resolved template workflow.

7. 7

   Run the queue and review results

   Ready files are processed sequentially. The results view reports success, failure, skipped status, row counts, and output locations per file.

Supported Batch Inputs

The batch file picker supports the same main data-file families used by the application:

Preflight Prevents Blind Batch Processing

REC CSV Cleaner Pro inspects queued files before the batch starts. Depending on the file, preflight can mark it ready or require import review, schema mapping, or another compatibility decision.

Files Do Not Need Perfectly Identical Headers

Schema-aware templates let REC CSV Cleaner Pro compare an incoming file with the schema used to create the saved workflow.

Exact matches can proceed directly. Saved aliases, normalized names, and conservative fuzzy suggestions can help resolve renamed columns, while ambiguous mappings are presented for review rather than applied silently.

One Failed File Does Not Have to End the Queue

Ready files are processed sequentially. If one file fails during its workflow, REC CSV Cleaner Pro records the failure for that file and continues to later files in the queue.

Batch Output Stays Separate From the Source Files

You choose an output folder before processing. REC CSV Cleaner Pro plans separate output files for the ready inputs and supports CSV or Excel workbook output, so the batch workflow does not need to overwrite the original source files.

Build the Workflow Before You Batch It

If you have not created a cleaning workflow yet, start with the guide to cleaning CSV data on Windows. For duplicate handling specifically, see the CSV duplicate-removal guide.

Frequently Asked Questions