Importing and Exporting Data

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Overview

Memoreru tables support CSV import and export to CSV, JSON, and Excel formats. You can bring data from existing spreadsheets into Memoreru, or take your Memoreru data to other tools.


CSV Import

What is Import?

CSV import lets you bring data from Excel, Google Sheets, or other tools into a Memoreru table all at once.

How to Import

  1. Open the table's detail page
  2. Click the menu button ("...") in the upper right
  3. Select "Import CSV"
  4. Choose the CSV file you want to import
  5. Review and adjust the column mapping
  6. Click the "Import" button

CSV File Format

Prepare your CSV file in the following format before importing.

Requirements:

  • File format: .csv
  • Character encoding: UTF-8 (recommended)
  • Row 1: Column names (header row)
  • Row 2 onward: Data rows

Example CSV:

Title,Author,Year,Genre,Rating Atomic Habits,James Clear,2018,Self-help,5 Deep Work,Cal Newport,2016,Productivity,4 The Phoenix Project,Gene Kim,2013,Business,5

Column Mapping

Match each CSV column to a column in your table.

CSV ColumnTable ColumnNotes
Titletitle (text)Auto-mapped
Authorauthor (text)Auto-mapped
Yearyear (number)Check data type
Genregenre (select)Added as new options
Ratingrating (number)Check data type

Tips:

  • Columns with matching names are mapped automatically
  • You can also add unmatched columns as new table columns
  • Choose whether to append to existing data or replace it

Things to Watch Out For

  • Type mismatches: If a text value is found in a number-type column, that cell will be left blank. Check your CSV before importing
  • Select options: If a CSV value does not match an existing option, it is automatically added as a new option
  • Empty cells: Empty cells in the CSV are imported as empty cells in the table

Exporting Data

What is Export?

Export writes your table data to a file. Use it for analysis in other tools or as a backup.

How to Export

  1. Open the table's detail page
  2. Click the menu button ("...") in the upper right
  3. Select "Export"
  4. Choose the export format (CSV / JSON / Excel)
  5. The file downloads automatically

Comparing Export Formats

FormatExtensionBest for
CSV.csvExcel, Google Sheets, importing into other databases
JSON.jsonProcessing data programmatically, API integration
Excel.xlsxOpening directly in Excel, formatted review

Format Details

CSV

id,Title,Author,Rating 1,Atomic Habits,James Clear,5 2,Deep Work,Cal Newport,4
  • Opens in any spreadsheet app
  • Easy to process programmatically
  • Does not include formatting or colors

JSON

[ { "id": 1, "Title": "Atomic Habits", "Author": "James Clear", "Rating": 5 }, { "id": 2, "Title": "Deep Work", "Author": "Cal Newport", "Rating": 4 } ]
  • Preserves data types
  • Well-suited for programmatic processing
  • Useful for API integration

Excel

  • Open and edit directly in Excel
  • Cell formatting is preserved
  • You can add formulas and pivot tables

Practical Use Cases

Use Case 1: Migrate from an Existing Spreadsheet

Use this when you want to move customer data, inventory, or other data from Google Sheets or Excel into Memoreru.

Steps:

  1. Export the spreadsheet as a CSV file
  2. Create a new table in Memoreru (or use the AI assistant to design it)
  3. Import the CSV
  4. Confirm the column mapping and you are done

Use Case 2: Regular Data Backups

Periodically export your data and keep a local backup.

Recommended frequency:

  • Small datasets: once a month
  • Critical data: once a week

Use Case 3: Integrate with Other Tools

Export data to use it in other tools and workflows.

DestinationFormatUse
ExcelCSV or ExcelAdvanced calculations and charts
Google SheetsCSVTeam collaboration
Python / pandasCSV or JSONData analysis
Other databasesCSVData migration
AI toolsCSVAnalysis and visualization

Tips and Tricks

1. Check your CSV before importing

Open the CSV in a text editor or spreadsheet app and verify it is formatted correctly. Pay attention to:

  • The header row (column names) is on row 1
  • Number columns do not contain extra symbols like $ or ,
  • Dates are in a consistent format (e.g., 2025-04-01)

2. Test with a small sample first

Before importing a large dataset, test with 10–20 rows to confirm everything maps correctly.

3. Filter with a View before exporting

If you only need a subset of your data, use a View to filter rows first, then export from the View for a clean result.


FAQ

Q1: What should I do if I get an error during import?

A: Check the character encoding of your CSV file. Saving as UTF-8 (without BOM) resolves most errors. CSVs created in Excel are often saved as Shift-JIS (Windows) or similar encodings — convert to UTF-8 before importing.

Q2: Can I export images and file attachments?

A: Images and file attachments are not included in CSV, JSON, or Excel exports. Columns of type image or file are exported as URLs or filenames (as text strings).

Q3: Will importing overwrite my existing data?

A: No. Importing appends new rows to the existing data. Existing rows are not overwritten or deleted.

Q4: Is there a file size limit for exports?

A: There is no enforced size limit, but exporting very large tables (tens of thousands of rows) may take some time to complete.

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