This workflow utilizes advanced AI technology to automate the processing of document attachments in emails, enabling intelligent parsing and text extraction. It can identify and classify various documents such as invoices, extract key information, and generate summaries. The data is synchronized to Google Sheets and Google Drive, while important notifications are pushed via Telegram. This system effectively reduces manual operations and enhances the efficiency of financial and business data processing, making it suitable for various scenarios that require automated document management, thereby assisting enterprises in achieving intelligent office operations.

This workflow automatically generates Arabic stories suitable for children by creating stories using the OpenAI GPT-4 Turbo model and translating them into simplified Arabic. At the same time, it generates relevant text-free images and audio narrations based on the story content. Finally, all the content is pushed to a designated Telegram channel. This process not only reduces labor costs but also enhances children's reading interest and learning effectiveness through multimedia formats, making it highly suitable for educational platforms and language learning applications.

This workflow automatically extracts information from the customer data repository, formats it, and synchronizes it to Google Sheets for efficient data management. Field adjustments are made through the "Set" node to ensure the data meets requirements, avoiding errors that may occur during manual operations. This process addresses the issues of scattered customer data and inconsistent formatting, making it suitable for marketing and customer service teams. It helps them update and maintain customer information in real-time, enhancing data accuracy and operational efficiency.

This workflow automatically captures book information from specified web pages using a no-code approach. It utilizes AI technology to extract structured data such as book titles, prices, stock status, and purchase links, and saves this information to Google Sheets. It addresses the issues of complex coding and inaccurate information extraction associated with traditional web crawlers. This solution is suitable for fields such as publishing, e-commerce, and market research, enhancing data acquisition efficiency, reducing manual intervention, and providing users with an intelligent data organization tool, significantly saving labor costs.

This workflow automatically fetches new content from multiple RSS feeds every 10 minutes, intelligently filters unread information, and categorizes it based on keywords for distribution to different Telegram channels. Its main functions are automated collection and deduplication, enhancing the relevance and efficiency of information delivery. It is suitable for fields such as IT operations and information security, reducing manual screening efforts, providing real-time updates on the latest developments, and helping users quickly grasp industry information.

This workflow automates the collection and organization of startup financing information, retrieving the latest Seed, Series A, and Series B financing events from Piloterr on a daily schedule. Through multi-step data processing, key financing information is integrated and updated in Google Sheets, allowing users to view and manage it in real time. This automation process significantly enhances the efficiency and accuracy of data updates, helping investors and entrepreneurial service organizations quickly grasp market dynamics and saving a substantial amount of human resources.

This workflow automates intelligent replies to Instagram comments through Webhook, utilizing AI technology to analyze comment content and generate personalized professional responses for automatic posting. It can identify comment types, filter out spam, and ensure efficient interaction, thereby enhancing user experience and account activity. It is especially suitable for social media accounts focused on AI and automated content, helping users save management time while enhancing brand image and fan loyalty.

This workflow automatically generates an intelligent query tool integrated with an AI assistant by receiving a Notion database link provided by the user. It simplifies the database structure and leverages powerful language models to enable efficient intelligent Q&A and information retrieval from the Notion knowledge base. Users can quickly deploy it without complex programming, significantly enhancing the efficiency of internal knowledge management and project management within enterprises, lowering technical barriers, and promoting the application of smart office solutions.

This workflow is designed to automatically download and merge multiple PDF files, ultimately generating a unified PDF file and saving it locally. Users only need to manually trigger the process to efficiently complete the tedious tasks of downloading, merging, and saving, significantly saving time and labor costs. It is suitable for scenarios such as enterprise document management, educational material organization, and document integration in professional fields. By automating the process, it enhances document processing efficiency and reduces the risk of human error.

This workflow integrates with Apple Shortcuts, allowing users to interact with the smart assistant using the voice command "Hey Siri, AI Agent." The user's voice will be transcribed in real-time and sent to the system, which utilizes the OpenAI GPT-4 model to generate natural voice responses that are directly fed back to the user. This process addresses the user's desire for natural voice conversations, enhancing the convenience and efficiency of interactions in smart home and mobile office scenarios, while providing personalized real-time responses.

This workflow automatically receives external requests via Webhook, generates personalized Whereby video call invitation links, and promptly sends the invitation information to a designated Mattermost channel. It streamlines the cumbersome process of manually creating meeting links, achieving automated generation and instant delivery of video call invitations. This enhances team communication efficiency and is suitable for scenarios such as internal corporate teams, remote work, and customer support, ensuring that meeting invitations are sent in a timely and convenient manner.

This workflow automatically generates standard Q&A templates for different services by reading data from Google Sheets. It utilizes AI technology to intelligently complete some answers, enhancing the professionalism and naturalness of the content. The final Q&A is saved in JSON format and uploaded to Google Drive, facilitating one-click publishing to various content management systems. This helps businesses quickly build high-quality FAQ content, improve user experience and knowledge base quality, and address the time-consuming issue of manually writing Q&A.

This workflow is manually triggered and automatically sends secure HTTP requests to the Bubble application's API, conveniently accessing and retrieving user data. It is designed to help non-technical users and business personnel quickly and securely extract the required information without the need to write code, simplifying the data acquisition process and enhancing work efficiency. It is suitable for scenarios such as data analysis, user management, and CRM system integration.

This workflow allows users to quickly access the specified folder "n8n-rocks" in Box cloud storage through a manual trigger. By utilizing Box's OAuth2 authorization mechanism, it ensures secure and efficient data access, streamlining the process of accessing cloud folders from local or other systems. This enhances the automation efficiency of file operations and is suitable for scenarios that require quick viewing, syncing of files, or file processing, helping enterprise users optimize their file management and sharing processes.

This workflow automatically scrapes employee review data from Glassdoor and utilizes AI for intelligent analysis to identify patterns of discrimination and bias in the workplace. It calculates the rating differences among different groups and generates intuitive charts to help users gain a deeper understanding of the company's diversity and inclusion status. This tool is particularly suitable for human resources departments, research institutions, and corporate management, as it can quickly identify potential unfair practices and promote a more equitable and inclusive work environment.

This workflow enables automatic switching of lights to red through a smart home system when updates occur in a GitHub repository. This physical feedback allows team members to instantly notice code changes, avoiding the neglect and delays associated with traditional notification methods, thereby enhancing response efficiency. It is suitable for software development teams, individual developers, and tech enthusiasts, enhancing the integration of work with smart home environments and improving collaboration and management efficiency.

This workflow utilizes AI language models and various data sources to achieve automated deep information retrieval and research report generation. After the user inputs a query, the system generates precise search keywords, conducts web searches using SerpAPI, and combines content analysis with Jina AI, ultimately integrating the results into a structured research report. This process enhances research efficiency, ensures the coherence and accuracy of information extraction, and is applicable in scenarios such as academic research, market research, content creation, and corporate decision-making, helping users quickly obtain high-quality materials.

This workflow automatically downloads an Excel file containing semester dates from the university's official website. It utilizes Markdown conversion services and large language models to extract key events and dates, generating a calendar file that complies with the ICS standard. Finally, the system sends the calendar file as an email attachment to designated personnel, significantly reducing the time and errors associated with manually organizing semester schedules, thereby enhancing the efficiency of academic administration in higher education. It is particularly suitable for students, teachers, and teams for time management and information sharing.

This workflow enables the automatic generation of detailed text descriptions after users send images via a Telegram bot, utilizing the GROQ LLAVA image understanding API for intelligent recognition. Users simply need to upload an image, and the system will convert it to Base64 format and call the API, ultimately replying to the user with the generated text. This process not only simplifies traditional image recognition methods but also enhances user experience, making it suitable for scenarios such as customer service automation, content management, educational tutoring, and visual assistance, allowing non-professional users to easily obtain information from images.

This workflow automatically synchronizes community members and their activity data from Google Sheets to the Orbit platform. By intelligently matching GitHub usernames, the workflow can update member information and associate activities in real-time, reducing the complexity and errors of manual operations. It is suitable for teams that need to regularly analyze community data, enhancing data consistency and operational efficiency, making it particularly beneficial for community operations managers and data analysts.

This workflow utilizes intelligent SQL query agents and automated chart generation technology to facilitate efficient interaction between natural language questions and databases. Users do not need to have SQL knowledge; they can ask questions directly, and the system will automatically generate the appropriate SQL queries and determine whether chart assistance is needed for display. By combining text answers with graphical presentations, it simplifies the data analysis process and enhances the data insight capabilities of non-technical users, making it particularly suitable for scenarios such as business analysis, sales trends, team collaboration, and educational training.

This workflow automatically collects feedback submitted by users through Typeform and utilizes Google Cloud's natural language processing services for sentiment analysis to determine the emotional tone of the feedback. Based on the sentiment score, the system automatically sends the feedback content and score to a designated Mattermost channel for real-time feedback monitoring and team collaboration alerts. This process significantly enhances the efficiency of feedback handling and response speed, helping the team to promptly grasp user satisfaction and potential issues.

This workflow automates the retrieval of the day's content from the Notion database, processes it through aggregation and formatting, and schedules the publication of articles and accompanying images to the LinkedIn homepage. The entire process is highly automated, eliminating the tediousness of manual copying and pasting, thereby improving the efficiency and timeliness of content publishing. Additionally, it automatically updates the content status in Notion, facilitating management and tracking, making it suitable for content creators and social media operators.

This workflow automates the management of user roles within the Zammad system, allowing for the bulk updating of eligible active user roles to predefined default values, thereby ensuring consistency and standardization of permissions. Additionally, it supports exporting role information to Excel files for easy viewing and backup. This process significantly enhances management efficiency and reduces errors associated with manual adjustments, making it suitable for corporate customer service and IT operations teams.