This n8n workflow streamlines the process of extracting structured resume data from PDF files and generating professional HTML and PDF documents for easy sharing. It is triggered via Telegram, where users can upload their resumes as files. The workflow automatically downloads the resume, extracts text, and uses GPT-4 Turbo to parse detailed information including personal details, employment history, education, projects, skills, and volunteering activities. Each section is formatted into clean HTML, combined into a comprehensive resume layout, and then converted into a PDF using Gotenberg. The final PDF is sent back to the user via Telegram, making it ideal for automating resume processing, creating professional profiles, or job application workflows.
Automated Resume Extraction and PDF Generation Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, convertToFile, extractFromFile, httpRequest, if, merge, noOp, set, stickyNote, telegram, telegramTrigger |
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