Text to Speech (OpenAI)

This workflow can automatically process podcast transcripts using AI technology for long text segmentation, summary generation, topic extraction, and related question creation. It ultimately generates a summary report in a structured HTML format and sends it via email. The main purpose is to help users quickly grasp the core information of podcast content, enhance the interactivity and depth of thought regarding the content, while saving editing and distribution time. It is suitable for user groups such as podcast teams, educational institutions, and content creators.

This workflow automates the processing of audio files, with key functions including searching for and downloading the latest .m4a format audio files from Google Drive, utilizing AI for audio transcription, and generating structured summaries and Markdown reports. Ultimately, the transcribed text and reports are saved back to Google Drive, and users are notified instantly via Telegram and email, significantly enhancing the efficiency of audio processing and addressing the pain points of traditional transcription and report generation. It is suitable for scenarios such as meetings, interviews, and lectures.

This workflow is an intelligent clinic assistant system designed to optimize patient appointment management and internal communication. By integrating Telegram and WhatsApp, it automates appointment confirmations, cancellations, and rescheduling, enhancing the patient experience. Additionally, it utilizes AI technology for multimodal information processing to ensure accurate information delivery. Furthermore, it includes automated procurement reminders and an emergency transfer mechanism to improve clinic operational efficiency, assisting healthcare institutions in achieving digital transformation.

This workflow provides an intelligent, multi-turn, contextually relevant conversational experience by integrating advanced AI language models and real-time search tools. It can respond to user inquiries in real time, maintain the context of the conversation, and effectively address the issues of information timeliness and comprehension that traditional chatbots face. It is suitable for scenarios such as intelligent customer service, knowledge Q&A, and online consultations, significantly enhancing user interaction experience and the level of service intelligence.

This workflow automatically converts text content submitted by users into high-quality audio files via a Webhook interface, utilizing OpenAI's text-to-speech functionality for real-time responses. The entire process requires no manual intervention, supports customizable voice parameters, and is easy to operate. It is suitable for scenarios such as content creation, corporate customer service, and the education industry, significantly improving audio production efficiency, lowering technical barriers, and meeting diverse automation needs.

This workflow allows users to upload images containing multiple logos through a form. It utilizes AI technology to automatically recognize and extract information about tools, software, or products, such as names, attributes, and competitor relationships. The extracted data is then structured and automatically synchronized to an Airtable database, reducing the time and errors associated with manual data entry and improving the accuracy and efficiency of data management. It is suitable for teams such as product managers and market analysts who need to quickly organize and maintain tool information, significantly enhancing the convenience and automation of information processing.

This workflow automates the processing of sales call recordings, utilizing AI technology to extract key information and store it in a structured manner within a database, achieving intelligent management of sales call data. It supports batch processing and has a fault tolerance mechanism to ensure that incomplete tasks are retried during API rate limiting. Additionally, it provides real-time updates on processing progress and completion notifications in team communication tools, enhancing collaboration efficiency. This workflow is suitable for sales teams to efficiently manage and analyze call data, promoting improved sales performance and customer relationship optimization.

This workflow implements intelligent image object recognition and management by automatically downloading source images and using AI models to identify objects within them. After identifying objects with a confidence level higher than 0.9, the system crops the target images and uploads them to cloud storage, while indexing the relevant metadata into an Elasticsearch database. This process enhances the retrieval accuracy of image resources and is suitable for scenarios such as e-commerce, media management, and intelligent monitoring, helping users efficiently search and categorize large volumes of images.