Image-Based Data Extraction API using Gemini AI

This workflow automatically converts French text into French speech, transcribes the generated audio into text, then translates it into English, and finally generates an English audio file. By combining high-quality text-to-speech and speech-to-text services, it automates the processing of multilingual content, enhancing the efficiency of language learning, content creation, and cross-national communication. It is suitable for various scenarios, including education, creative work, and translation.

This workflow is designed to automatically download and process PDF, plain text, and JSON files from Google Drive. It converts these files into vector data using OpenAI's text embedding model and stores them in the PGVector vector database within a Postgres database. This process enables efficient management and retrieval of documents, while automatically archiving processed files, thereby enhancing work efficiency and automation. It is suitable for data engineers, knowledge management teams, and research institutions.

This workflow implements an intelligent AI chatbot through Slack's Slash commands, capable of receiving user requests and invoking the OpenAI GPT-4o-mini model to generate real-time responses. It supports the handling of multiple commands simultaneously, automating responses to reduce manual workload, while integrating Webhook and LangChain technologies to enhance contextual understanding in conversations. It is suitable for internal communication within enterprises, customer support, and other scenarios, aiming to improve communication efficiency and provide a flexible intelligent interaction experience.

This workflow is an intelligent travel planning assistant that combines large language models and vector search technology to quickly provide personalized travel recommendations to users. Users can interact with the AI agent through chat to obtain precise travel suggestions based on points of interest data. The workflow supports batch data insertion and efficient retrieval, addressing the issues of information fragmentation and low query efficiency commonly found in traditional travel planning. It is suitable for travel service platforms, travel agencies, and related application scenarios.

This workflow automatically joins online meetings through an intelligent assistant, enabling real-time voice transcription to accurately capture and organize meeting dialogues. By leveraging AI technology, it can perform intelligent analysis and generate notes based on keywords, while storing structured data for easy retrieval later. This solution significantly enhances the efficiency and accuracy of meeting records, making it suitable for remote teams, project management, and automatic generation of meeting minutes across various industries, thereby facilitating team collaboration and information transparency.

This workflow receives user text prompts in real-time through a Webhook interface and utilizes OpenAI's image generation API to create corresponding images. Users simply need to paste the URL with the prompt into their browser to quickly obtain the AI-generated image. The entire process is automated and responsive. It simplifies the complex traditional image generation process, allowing users to easily create without writing code, making it suitable for various scenarios such as designers, content creators, and developers.

Airtop Web Agent is an intelligent web automation tool that can perform complex web interaction operations such as querying, clicking, and inputting based on user natural language instructions. It utilizes AI technology to automatically parse instructions, simplifying the complexities of traditional web automation. Additionally, it provides real-time execution results through Slack, facilitating team communication and collaboration. It is suitable for data scraping, market research, and integration of internal workflows, enhancing work efficiency and response speed.

This workflow implements an intelligent chat assistant named Pizzaro, primarily used for pizza ordering. Through natural language interaction, customers can easily inquire about the menu, place orders, and check order status. The system integrates AI models and various tools to obtain product information in real time and automatically process orders, effectively addressing the slow response and error-prone issues of traditional ordering processes. This enhances the efficiency and accuracy of customer service and is suitable for various scenarios such as dining and e-commerce platforms.