DigitalOceanUpload

This workflow automates the file upload process. After submitting a file through an online form, it automatically uploads the file to DigitalOcean's object storage and generates a publicly accessible file link, providing real-time feedback to the user. This process is simple and efficient, eliminating the cumbersome steps of traditional manual uploads and link generation, significantly enhancing file management efficiency. It is suitable for various scenarios that require a quick setup for file upload and sharing functionalities.

Tags

File UploadDigitalOcean Spaces

Workflow Name

DigitalOceanUpload

Key Features and Highlights

This workflow automates the file upload process. After users submit files via an online form, the files are automatically uploaded to DigitalOcean Spaces (object storage), and a publicly accessible file URL is generated and provided to the user in real time. The entire process is seamless, user-friendly, and efficient, supporting automatic public read permissions for easy sharing and access.

Core Problems Addressed

Traditional file uploads often require manual steps, including separately generating access links after uploading, making the process cumbersome and error-prone. This workflow automates file uploading, permission setting, and link generation, significantly reducing manual intervention, improving file management efficiency, and ensuring immediate access and sharing after upload.

Use Cases

  • Scenarios where websites or applications require users to upload files and instantly obtain access links
  • Automated internal document sharing and storage within enterprises
  • Media content uploading and distribution
  • Projects needing quick setup of file upload portals with publicly accessible files

Main Process Steps

  1. Form Submission Trigger: Users upload files through a predefined “Upload File” form containing a single required file field.
  2. File Upload (S3 Node): The uploaded files are automatically transferred to the “dailyai” bucket in DigitalOcean Spaces, with file permissions set to public read.
  3. Completion Feedback (Form Node): Upon successful upload, a file access URL is generated and displayed for users to copy and use directly.

Involved Systems or Services

  • DigitalOcean Spaces (Object Storage Service): For file storage and public access configuration
  • n8n Form Trigger and Form Nodes: To facilitate file upload entry and result display

Target Users and Value

  • Developers and product managers seeking simple file upload and public sharing solutions
  • IT operations personnel needing to quickly establish internal or client-facing file upload portals
  • Any users aiming to reduce file upload management workload and enhance automation

This workflow enables users to effortlessly automate file uploads and generate online access links, greatly improving work efficiency and user experience.

Recommend Templates

Store the Data Received from the CocktailDB API in JSON

This workflow can automatically retrieve detailed information from the random cocktail API of CocktailDB, convert the returned JSON data into binary format, and ultimately save it as a local file named cocktail.json. By manually triggering the process, users can achieve real-time data retrieval and storage, eliminating the hassle of manual operations and ensuring the accuracy of data acquisition. It is suitable for various scenarios, including the beverage industry, developers, and educational training.

API ScrapingData Persistence

Google Drive File Update Synchronization to AWS S3

This workflow can automatically monitor a specified Google Drive folder and, when files are updated, automatically upload them to an AWS S3 bucket. It supports file deduplication and server-side encryption, ensuring data security and consistency. This effectively meets the automatic synchronization needs across cloud storage, avoiding the hassle of manual operations and enhancing the efficiency of file backup and management. It is suitable for enterprises and teams that require automated file management.

File SyncCloud Backup

Raw Material Inventory Management and Usage Approval Automation Workflow

This workflow automates the management of raw material inventory, including automatic receipt of raw materials, real-time inventory updates, online approval of material requisition applications, and inventory alert functions. It receives data through Webhook, automatically generates approval links, and supports one-click email approvals, ensuring synchronization of inventory information. Additionally, it promptly sends alert emails when inventory falls below a threshold, effectively improving management efficiency, reducing the error rate of manual operations, and ensuring a smooth and transparent supply chain for the enterprise.

Inventory ManagementAuto Approval

Image Text Automatic Recognition Workflow Based on AWS Textract

This workflow automates the entire process of retrieving images from AWS S3 buckets and using AWS Textract for text recognition. Users only need to manually trigger the process to complete the conversion from images to text, significantly enhancing data processing efficiency. It is suitable for scenarios such as finance and legal work that require rapid digitization of document content, helping users save time and labor costs while achieving efficient management and utilization of data.

Image RecognitionAWS Textract

NetSuite Rest API Workflow

This workflow can be triggered via Webhook to call NetSuite's SuiteQL query interface in real-time, quickly retrieving business data from the system. Users can flexibly customize query statements to achieve real-time queries on information such as orders, customers, and inventory, greatly simplifying the data access process and enhancing automation levels. It is suitable for finance, operations, and IT teams, helping businesses efficiently integrate and analyze data in a multi-system environment, avoiding manual operations and improving decision-making efficiency.

NetSuite QueryWebhook Trigger

PostgreSQL MCP Server Database Management Workflow

This workflow provides a secure and efficient PostgreSQL database management solution. It supports dynamic querying of database table structures and content, allowing for data reading, insertion, and updating through secure parameterized queries, thereby avoiding the security risks associated with using raw SQL statements. This workflow is suitable for the automated management of various databases within enterprises, capable of serving multiple applications or intelligent agents, enhancing the efficiency and security of data operations, and assisting enterprises in achieving intelligent data management and digital transformation.

PostgreSQL ManagementDatabase Automation

Manual Trigger for Retrieving Cockpit Data Workflow

This workflow quickly queries and retrieves specific data sets from the Cockpit content management system through a manually triggered node, simplifying the data collection process. Users can easily connect to the Cockpit system and obtain the latest data with just a click, avoiding cumbersome manual operations and enhancing the efficiency and accuracy of data access. It is suitable for scenarios such as content operations, development debugging, and business analysis, making it a practical tool for content management.

Cockpit Datan8n Automation

Automated Document Q&A and Management Workflow Based on Supabase Vector Database

This workflow automates the downloading of eBooks from Google Drive. It processes the document content through text segmentation and vectorization, storing the information in a Supabase database. Users can ask questions in natural language, and the system quickly retrieves relevant information to generate accurate answers. Additionally, the workflow supports real-time management of vector data, including inserting, updating, and deleting records, thereby lowering the barrier for non-technical users to utilize AI and vector databases. It is suitable for intelligent Q&A and information retrieval in corporate knowledge bases, online education, and research materials.

Vector DBSmart QA