How can I paste data from Excel/CSV into a Table form field?
If you have data in a spreadsheet (like Microsoft Excel or a CSV file) that you need in a Tallyfy Tableform field, you don’t have to retype it. You can paste it directly. This feature saves significant time and reduces data entry errors.
What should I know before pasting?
Matching headers are crucial: The column headers in your spreadsheet must exactly match the column headers configured in the Tallyfy Table field. Tallyfy will only paste data where headers match. If headers don’t match, data for that column is ignored.
Copy data: Copy the spreadsheet data (including headers) to your clipboard (e.g., select the cells in Excel and press Ctrl+C or Cmd+C).
How do I paste data into the Tallyfy table?
Open the Tallyfy task with the Table field you want to paste data into.
Click the menu icon (…) at the top right of the Table field itself.
Select Paste rows from Excel/CSV (or similar wording).
A pop-up box appears. Paste your copied data here (Ctrl+V or Cmd+V).
Click the Paste button.
The data from your clipboard will be added as new rows to the table, matching columns based on headers. Blank cells from your spreadsheet will result in blank cells in the Tallyfy table. This process maintains data integrity while enabling efficient bulk data entry.
Tallyfy automatically exports form field responses to spreadsheets like Google Sheets and Excel Online through middleware platforms such as Zapier Make or Power Automate enabling centralized data collection advanced reporting and seamless business tool integration.
Tallyfy allows users to export running process data to CSV format through the process settings panel for external analysis reporting and data backup in spreadsheet applications.
Tallyfy Tracker offers two viewing formats - Board View displaying processes as visual cards and Table View presenting data in structured columns - which can be easily switched between using buttons located near the top right of the interface.
Lists in Tallyfy serve as centralized collections of structured data that can be referenced across templates and processes to eliminate redundant data entry reduce errors and maintain consistency throughout organizational workflows.