> For the complete documentation index, see [llms.txt](https://docs.fylr.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fylr.io/for-administrators/tools/csv-importer/examples/files.md). # Files If the files are located locally on your computer, they must first be made available via a web server, since web browsers do not support direct access to files on your computer. {% hint style="info" %} Alternatively you can upload the files using upload collections. Either upload all files first and then update the records using the CSV importer or import the data using the CSV importer first and then add the files using an upload collection. {% endhint %} ## Preparation In order to import files that are located in the local file system using the CSV importer, it is necessary to make them available on a local server. For example, see this list of web servers: . In your CSV file you then enter the URL, e.g. . ## Example Files

ID	TITLE	CREATE DATE	FILE
1	Rome	2020-01-01	https://upload.wikimedia.org/wikipedia/commons/c/c0/Rome_Montage_2017.png
2	Laptop	2007-02-01	http://127.0.0.1:887/my-image.png

If your data model allows multiple files to be uploaded per record, then enter all URLs into one cell separated by a break:

ID	TITLE	CREATE DATE	FILES
1	Trevi Fountain	2020-02-17	http://127.0.0.1:8887/Trevi-001.JPG http://127.0.0.1:8887/Trevi-002.JPG

If in your FYLR the object and image information are managed in separate object types (e.g. "collection objects" and "images"), please import both information separately. Create a CSV file with all information about the objects incl. unique identifier and import it. In the second CSV file, enter all information about the images including the URL to the file and the unique identifier for the associated object and import it. ## Import Procedure * first **open** the CSV importer * **upload** your CSV file * select "**1st Row**" for "CSV Field Names" * select the target **object type**, **pool** and the corresponding **mask** * switch to the tab "**Import Mapping**" and select the corresponding **target field** for the column containing the **URLs** * for "**Type**" select "**url**" to import new files * switch back to the tab "**Import Settings**" and select the "**Update Field**" if there are already records in the list that should be updated if necessary * click on "**Prepare**" and you will get an overview how many rows will be imported or updated * then the import / update can be started --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fylr.io/for-administrators/tools/csv-importer/examples/files.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.