Batch Center Tutorial: Process Spreadsheet Rows with CSV, TSV, or XLSX

2026-11-14 · 原创·功能教程

Batch Center: Process Rows from a Spreadsheet

The Batch Center is designed for users who need to process listings, content, resumes, or structured rows in a spreadsheet. The entry point is `/tools/batch`. For first-time AI users, the simplest way to understand it is as a workflow: upload a table, map fields, generate row by row, and review before export. It is not a promise that every row will succeed, and it should not replace human review.

1. Prepare the file

The Batch Center supports CSV, TSV, and XLSX. Each batch can contain up to 100 rows and must be no larger than 5MB. Before uploading, keep one task per row and use clear column headers. Check that the columns you plan to use can be mapped to the fields required by your task. Remove unnecessary personal or confidential information, and mask sensitive data where possible. This preparation reduces mapping mistakes and makes later review easier.

2. Upload and map fields

Go to `/tools/batch` and upload your prepared file. Review the columns detected by the page, then complete field mapping according to your task. Field mapping determines which columns are used for each row's generation. For a first run, check every mapped column carefully; do not map titles, notes, or empty columns by accident. A small test batch is easier to inspect than a large one.

3. Generate row by row and retry failures

After mapping, start generation. The Batch Center processes rows and supports retrying failed rows. Because failures can occur, check the status of each row rather than assuming the whole batch completed successfully. If a row fails, use the retry option and review the page's actual message before changing the spreadsheet or mapping. Keep the original file available so you can compare inputs and outputs.

4. Review results and export CSV

When generation is complete, review results row by row and perform manual review. After confirming the content meets your requirements, export the results as CSV. Before using the export in production, check row counts, column names, and empty values. For listings, marketing copy, resumes, or other external content, human review remains necessary; the Batch Center helps organize row-level work but does not remove that responsibility.

5. Drafts and safety notes

Drafts stay in the current browser and are account-scoped. Do not rely on a local draft as a permanent archive, especially when switching browsers or devices. Follow your organization's data rules, upload only the data needed for the task, and control who can access the account. To try the workflow, start from the model marketplace or the corresponding tool, test with a small batch, and expand only after the mapping, results, and review process are clear.