Bulk Object Field Creator

When a release deadline is hours away, you don’t have time to click through Setup. With Bulk Object Field Creator (BOFC), you can design, generate, and adjust Salesforce fields in batches so your data model keeps pace with the project.

Build new fields at scale without leaving a single screen. Start a job, pick your target objects, and add rows for each field you need—type, length, default, help text, descriptions, and API/label patterns. Apply naming conventions once and let BOFC stamp them across every object. Preview the impact, confirm dependencies (like picklist values), and commit. Save the configuration as a template for the next rollout so your team can recreate the same structure in a few clicks. Optionally push the new fields to page layouts and assign permissions as part of the same run.

Refactor existing metadata just as quickly. Pull a filtered list of fields by object, data type, or name, then make bulk edits to labels, help text, required flags, field lengths, and security. Manage picklists in one pass: add new values, retire old ones, reorder items, and push value sets to specific record types. Use search-and-replace to standardize phrasing across dozens of fields, and propagate consistent defaults to every object that needs them. Before saving, BOFC shows a change summary so you can verify updates and reduce surprises.

Prepare for audits and change control with repeatable history settings. Select objects, choose the fields that need tracking, and enable history at scale. Export the current state for review, document what will change, and package the setting updates for deployment. Run the same configuration in sandbox first, then promote to production with identical parameters to keep environments aligned.

Clone proven field designs instead of rebuilding them. Choose a source object, select the fields to copy, and map them to one or many targets. Keep or adjust API names, carry over picklist values and dependencies, and include descriptions and help text. Run a dry run to check for conflicts, then execute the copy. This is ideal for rolling out parallel structures across multiple custom objects or syncing models between orgs. Every job is logged, making it easy to review what changed and roll forward the same pattern in the next sprint.