Batch Text File Processor and Cleaner

Batch Text File Processor and Cleaner

A Python CLI tool for developers and data analysts to process large batches of text files. It reads from a CSV manifest, applies cleaning rules, and outputs standardized files. Saves hours of manual text editing. Features Process thousands of .txt, .md, and .log files from a CSV manifest Apply regex find-and-replace rules defined in a JSON config file Remove duplicate lines, trim whitespace, and standardize line endings Append or prepend headers/footers based on file metadata Generate a detailed processing report in JSON format Usage batch_text_processor --manifest files....

<span title='2026-04-15 00:00:00 +0000 UTC'>April 15, 2026</span>&nbsp;·&nbsp;OddShop
Video Metadata Batch Processor

Video Metadata Batch Processor

This tool processes video files in bulk based on a metadata file. It’s for content creators and media managers who need to organize large video libraries. It saves hours by automating repetitive file renaming and tagging tasks. Features Batch rename video files using patterns from a CSV Set or update MP4/MOV metadata tags (title, artist, comment) Generate organized folder structures by date or category Create a JSON/CSV report of all processed files and changes Dry-run mode to preview changes before executing Usage video-processor --input metadata....

<span title='2026-03-31 00:00:00 +0000 UTC'>March 31, 2026</span>&nbsp;·&nbsp;OddShop
Marketplace Product Data Processor

Marketplace Product Data Processor

Processes exported Ebay product data from CSV files to generate organized inventory reports and pricing analysis. Works with Ebay’s export formats to clean and structure your marketplace data for better business insights. Features Parse Ebay CSV export format with multiple column mappings Calculate profit margins and fee breakdowns per item Group products by category, condition, or price range Generate summary reports with sales velocity metrics Export cleaned data to standardized CSV format Usage python ebay_processor....

<span title='2026-03-17 00:00:00 +0000 UTC'>March 17, 2026</span>&nbsp;·&nbsp;OddShop