4.2 Upload and downloads
4.2.1 Uploading Files and Folders
Uploading Methods
1. Drag and Drop Upload Users can upload files and folders by dragging them directly from their PC and dropping them into any area of the Kedao Cloud page within the browser. This intuitive method allows for quick and easy file uploads.
2. Click to Upload Alternatively, users can click on the "Upload" button in the toolbar of the network disk page. Select "Select File" from the dropdown menu to open a file selection dialog where users can choose the file(s) to upload.
- Uploading Folders To upload a folder, click on the "Upload" button, select the dropdown menu, and choose "Folder". Then, select the desired folder from the pop-up window to begin the upload process.
3. Batch Upload The system supports batch uploading, allowing users to upload multiple files simultaneously. It also facilitates direct folder uploads, making large-scale uploads efficient.
4. Advanced Upload Features
- Breakpoint Resume: The system supports restarting interrupted uploads and fragment uploads, ensuring that large files can be uploaded in multiple parts without losing progress.
- File Transfer Speed: Upload speeds are optimized, allowing files to be transferred quickly and efficiently.
4.2.2 Offline Download
Downloading Files Offline To download files offline, click on the "Upload" button dropdown menu on the network disk page and select "Offline Download.". Enter the HTTP link of the file you wish to download to initiate the offline download process.
4.2.3 Downloading Files
Downloading Methods
1. Toolbar Download Select the desired file and click the "Download" button in the toolbar to save the file to your local computer.
2. Context Menu Download Alternatively, right-click on the target file, select "Download" from the context menu, and the file will be downloaded to your local system.
Automatic Compression Kedao Cloud supports the automatic compression of folders and multiple files during the download process. This feature helps to streamline the download of large quantities of data.