Spreadsheet automation use cases
Five recurring jobs where teams stop converting files by hand.
Supplier price lists by email into one ERP CSV format
Give each supplier its own pipeline inbox. Every XLS or XLSX attachment is converted with a saved mapping template that renames columns, cleans prices and dates, validates required fields and delivers one consistent CSV to the SFTP folder or bucket your ERP imports from.
Read the workflow Finance controllerMonth end finance consolidation of exports from many tools
Collect each tool export in a cloud folder, convert every file with a template that normalizes column names, dates and amounts, merge them into one table with a source column, remove duplicates and deliver a consolidated XLSX or CSV ready for review and import.
Read the workflow Backend developerAccept customer spreadsheets in your SaaS through an API
Send each customer upload to the XlsConverter REST API with a mapping template for your schema. The workbook is parsed, columns are matched and cleaned, and your service receives the result as JSON through an HMAC signed webhook, so you never maintain a spreadsheet parser.
Read the workflow Ecommerce agency feed managerAgency product feeds from client catalogs to XML and CSV
Collect each client catalog in its own folder, convert it with a per client template that maps columns to your feed fields, cleans prices, URLs and availability, then write XML and CSV feeds and deliver them on a schedule to the location each channel reads.
Read the workflow Data engineerMoving legacy Excel data into a database
Convert each legacy workbook to SQL with inferred column types, clean identifier names, NULL for empty cells and batched INSERT statements for MySQL, PostgreSQL or SQLite. Review the schema, run the dump in a transaction and compare row counts with the source.
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