mirror of
https://github.com/twentyhq/twenty
synced 2026-04-21 21:47:38 +00:00
Reorganizing by Feature sections
Capabilities folders to give an overview of each feature
How-Tos folders to give guidance for advanced customizations
Reorganized the Developers section as well, moving the API sub section
there
added some new visuals and videos to illustrate the How-Tos articles
checked the typos, the links and added a section at the end of the
doc.json file to redirect existing links to the new ones (SEO purpose +
continuity of the user experience)
What I have not updated is the "l" folder that, per my understanding,
contains the translation of the User Guide - that I only edited in
English
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47 lines
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---
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title: Supported File Formats
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description: File formats supported for data import in Twenty.
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---
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## Supported Formats
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Twenty supports three file formats for import:
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| Format | Extension | Notes |
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|--------|-----------|-------|
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| **CSV** | .csv | Recommended, most compatible |
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| **Excel** | .xlsx | Modern Excel format |
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| **Excel (Legacy)** | .xls | Older Excel format |
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## File Requirements
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| Requirement | Value |
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|-------------|-------|
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| **Encoding** | UTF-8 recommended |
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| **Record limit** | 10,000 records per file |
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| **Structure** | First row must contain column headers |
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| **Content** | One object type per file |
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## CSV Best Practices
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- **Delimiter**: Use comma (`,`) or semicolon (`;`)
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- **Text qualifier**: Use double quotes (`"`) for text containing commas
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- **Line endings**: Windows (CRLF) or Unix (LF) both supported
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- **Empty values**: Leave cells empty, don't use "NULL" or "N/A"
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## Excel Best Practices
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When exporting from Excel:
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- Remove formulas (export values only)
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- Delete empty rows at the end
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- Ensure no merged cells
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- Use the first sheet only
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## Large Datasets
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For datasets larger than 10,000 records:
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- Split into multiple files
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- Or use the [API import](/user-guide/data-migration/how-tos/import-data-via-api) for unlimited records
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<Note>For very large migrations (100,000+ records), the API is significantly faster and more reliable than CSV imports.</Note>
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