Import Text File (.csv)

Instructions on how to import a generic or specific .csv file into Keeper.

Import Text File (.csv)

(1) Log into Keeper's web vault at
(2) Click on your account email in the upper right-hand corner.
(3) Click on Settings > Import.
(4) If the .csv file was generated from a specific password manager, please select the password manager from the list of choices. If this is a generic .csv file generated from another source, proceed with the "Text file (.csv)" selection.
(5) Drag the exported file into the target window "Drop a File Here".
(6) Use the drop-down menu in each column to map to a Keeper field.
(7) If you intend to share all first level folders, check the box Import Root Level Folders as Shared. By selecting this option, all first level folders will become shared.
(8) Click on Import.
Select Settings
Select .csv or another password manager
Drop a File Here
Review the imported records
If necessary, the columns can be re-mapped to different fields


  • If you only wish to share some of the folders, you will need to split the CSV file into two separate files prior to importing each accordingly.
  • If you are getting garbage characters in the import, ensure that the CSV file was saved/exported using UTF-8 or Unicode encoding.

Advanced Field Mapping

Keeper's CSV import method also supports advanced structure including Folders, Subfolders and Shared Folders.
File Format
Folder,Title,Login,Password,Website Address,Notes,Shared Folder,Custom Fields
• To specify Subfolders, use backslash "\" between folder names • To make a Shared Folder specify the name or path to it in the 7th field
Example 1: Create a regular folder at the root level with 2 custom fields
My Business Stuff,Twitter,[email protected],123456,,These are some notes,,API Key,5555,Date Created,2018-04-02
Example 2: Create a shared subfolder with edit and re-share permission, inside a regular folder
Personal,Twitter,[email protected],123456,,,Social Media#edit#reshare
Example 3: Create a shared folder with edit and re-share permission on the outside and a nested folder tree underneath.
Personal\Financial\Home,Chase,[email protected],123456,,,Family Records#edit#reshare
In this 3rd example, the outer shared folder is called "Family Records" and underneath is a folder tree. The record is added to the nested folder 3 levels down.
To visually see how the import will look, drag and drop the file into the Import screen and click Next. You'll see a preview of the structure:
Preview of CSV Import

Notes for Managing Folders and Subfolders

A Folder, Subfolder (nested folder) and Shared Folder are objects that are created independently of records. Folders are often used to categorize records of a similar type.
Keeper's implementation of folders is powerful and flexible and includes ease-of-use functionality such as drag-and-drop.
  • A folder is a container of records and record references (shortcuts).
  • A shared folder is a container of records, with flexible user and team sharing capability.
  • A folder can be made up of personal records, shared records or other regular subfolders.
  • Subfolders can be either shared or personal.
  • You can create an unlimited number of folders and shared folders.
  • A shared folder can be made up of an unlimited number of subfolders, each subfolder beneath a shared folder retains the permissions of the parent.
  • There is no limit to the folder tree depth.
  • Folders and subfolders contained within shared folders will inherit the permission of the shared Folder.
  • A shared folder with just one user (nothing shared to anyone) is still a Shared Folder.
  • A shared folder does not have to be shared with anyone else.

Record Permissions

The permissions of records within a Shared Folder can be individually controlled with the following two permissions:
  • Can Edit - when this permission is enabled, the record can be edited by any user with the shared folder.
  • Can Share - when this permission is enabled, records can be shared by any user with the shared folder.
Keeper also supports advanced JSON structured file formats. We recommend using JSON files for import and export of structured data instead of CSV files. This is described in the JSON Import page.