French Bilingual Speech Conversion and Transcription Workflow

This workflow integrates advanced AI technology to automatically analyze the transcribed text of sales call recordings, extracting structured market and customer insights. It supports multidimensional analysis for sales, marketing, and product teams, generating precise customer needs, pain points, and competitor intelligence, significantly enhancing information processing efficiency. Through automated processes, the analysis results are synchronized across various systems, promoting cross-departmental collaboration and helping businesses optimize sales strategies and product iterations, enabling intelligent decision-making.

This workflow monitors a specified local folder in real-time, automatically identifying and categorizing newly added files. Through intelligent analysis, it recommends classifying files into appropriate subfolders and suggests creating new classification folders when necessary, automatically moving files to the corresponding directories. This solution effectively addresses the issue of disorganized files, enhancing sorting efficiency, and is particularly suitable for individual or team environments that require frequent updates and rapid categorization.

This workflow automatically retrieves recordings and transcriptions of Google Meet meetings. It uses AI to intelligently analyze and extract key points and follow-up action plans from the meetings, and automatically executes related follow-up tasks, such as scheduling subsequent meetings and inviting participants. It addresses the issues of lengthy meeting content and missed manual follow-ups, enhancing meeting efficiency and the value of information utilization. It is suitable for business managers, project managers, and remote teams. Overall, it achieves efficient management and automated processing of meeting resources.

This workflow automatically analyzes stock or cryptocurrency charts uploaded by users by receiving requests from a Chrome extension, and generates easy-to-understand market trend interpretations using an AI model. It addresses the high entry barrier of traditional technical analysis for beginners, providing real-time, automated chart analysis to help users make quick investment decisions, enhancing analysis efficiency and accuracy. It is suitable for investors, advisors, and fintech developers.

This workflow achieves automated content generation through the DeepSeek R1 model, combining creative prompts from Google Sheets to produce SEO-optimized articles and titles. It utilizes OpenAI's DALL-E 3 to generate high-quality blog cover images. The content is then automatically published as WordPress drafts, with the cover image set as the featured image, while simultaneously updating Google Sheets to create a content management feedback loop. This process significantly reduces content creation costs and enhances operational efficiency, making it ideal for blogs and content marketing teams that require bulk publishing of SEO articles.

This workflow integrates the principles of cognitive behavioral therapy to create an intelligent psychological counseling robot based on the Line platform. It can understand user text input in real time, providing emotional support and psychological guidance, addressing the issue of users struggling to obtain immediate assistance in mental health consultations. Through the Azure OpenAI language model, users can engage in intelligent conversations at any time, receiving professional guidance and enhancing the accessibility and efficiency of mental health services.

This workflow combines the OpenAI GPT model with a PostgreSQL database to achieve the automatic generation and publishing of WordPress blog posts. It can generate original and structured article content, automatically selecting the least frequently used categories to avoid duplication, while also generating and uploading cover images to ensure visual appeal. The entire process is highly automated, allowing for scheduled updates without user intervention, significantly enhancing the efficiency and diversity of blog content production, making it suitable for bloggers and content creators.

This workflow implements an intelligent Telegram chatbot that can engage in natural conversations through the OpenAI assistant and utilizes a Supabase database to store the contextual memory of user sessions. The bot can receive user messages, automatically generate replies, and track historical conversations, making interactions smoother. It is suitable for scenarios such as customer service auto-replies and virtual assistants, enhancing user experience and addressing the issue of traditional chatbots lacking contextual understanding.