This workflow is manually triggered to read a raw meeting transcript from a specified Google Docs file. It then sends the transcript to an AI to generate a structured project summary. Finally, it creates a new Google Docs file in a designated Google Drive folder with the AI-generated summary content.
This workflow collects article details via a form (e.g., Google Forms). It then uses AI to generate an article outline and the full article content based on the inputs. Finally, it saves the generated content to Google Drive and updates a Google Sheet with links for tracking article progress.
This workflow monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
This workflow automates invoice processing by monitoring a Google Drive folder for new PDF invoices. Upon detection of a new PDF, it extracts text content using OCR, then uses AI to parse and extract key invoice details like invoice number, date, and total amount. Finally, it stores the extracted, structured data into a Google Sheet for easy access and reporting.
This workflow manually triggers, allowing you to process a specific Google Drive file. It retrieves the content of the document and then leverages an AI model to generate a concise summary. This is ideal for quickly understanding the core information in long documents stored in Google Drive.
This workflow is manually triggered to extract and compare information from a selected PDF document in Google Drive. It uses GenFuse's OCR capabilities to get text from the PDF, then sends this text to both Claude and Gemini LLMs for specific data extraction based on a custom prompt. The workflow provides the outputs from both LLMs for direct comparison.
This workflow enables users to generate high-quality Center of Excellence (COE) blog posts. It takes a topic as input, uses AI to create an outline and then the full blog content, saves it as a Google Doc in Google Drive, and then shares the public link via email to stakeholders.