> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kralis.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Import Students

> How to approach bulk student import safely when names and identities are not perfectly deduplicable.

Bulk student import is efficient, but it is also one of the easiest places to
introduce bad identity data.

## Capabilities

This import workflow supports:

* bulk student onboarding
* operator review before commit
* duplicate-signal review
* class and section placement verification

## Import principles

* treat the import file as proposed data, not guaranteed truth
* review class and section assignments carefully
* use duplicate signals as support for the operator, not as an automatic final
  answer

## Why duplicate detection is hard

* the same student may appear under multiple valid name arrangements
* two different students may share the same or very similar names
* schools may have inconsistent historical naming quality

## Recommended workflow

1. prepare a clean file
2. run the import
3. review likely duplicates or related students surfaced by the client
4. decide whether each row should create a new student or map to an existing one
5. verify the resulting class and section placement

## Follow-up checks

After a major import, verify:

* student counts
* class counts
* section placement
* access credential expectations if the school uses Access PINs

## Feature links

* [Students area](https://kralis.app/dashboard)
* [Students overview](overview)