As long as your existing data has already been analyzed (i.e., topics are in place), any newly added data will automatically be assigned to topics using the current setup.
Step 1: Go to the Data Tab
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In your project, click the Data icon in the left-hand navigation bar.
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Then click Add new rows in the top-right corner.
Step 2: Upload Your File
In the import screen:
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Drag and drop your file, or click to browse
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File types supported:
.xls,.xlsx,.csv,.sav,.spss -
(Optional) Add a name for the data source
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Make sure your file includes column headers in the first row
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Click Continue to proceed
Your file does not need to match the previous column order or column count
Step 3: Match Your Columns
Caplena will guide you through matching the new file’s columns with those already in your project.
What happens automatically:
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Columns with the same name are matched
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Order doesn’t matter, Caplena accepts columns in any order
Additional options:
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Skip columns you don’t want to import
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Create new columns for unmatched fields
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Manually match columns if needed
💡 Tip: Use the filters at the top of the screen to focus on specific column types (text, numeric, date, etc.)
Step 4: Validate and Finalize
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Click Validate to confirm your column mappings
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Click Finalize to upload the new rows
🎉 Your new data will now be added to the project and analyzed automatically.
Auto-Translation
If you plan to use auto-translation, please enable it when creating the project.
It cannot be activated retroactively for existing projects.
Learn more about auto-translation →
Duplicate Row Handling
A row is considered a duplicate if all column values are identical.
To avoid importing duplicates:
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Enable the “Skip existing rows based on matched column” toggle
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Select the column used for deduplication, usually an ID field
This ensures that already-uploaded rows are not imported again.