AI-Powered Resume Parsing and HTML Formatting
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Automate the complex task of extracting structured data from resumes and converting key sections into beautiful HTML. This n8n workflow leverages advanced AI to parse textual input, ensure data integrity, and dynamically generate web-ready content.
About This Workflow
This robust n8n workflow provides an intelligent solution for processing textual resume data. Initiated by a Telegram message, it sends the raw text through a powerful OpenAI GPT-4 model, which meticulously extracts details like employment history, education, projects, and personal information into a predefined JSON schema. Critical for data reliability, it includes an auto-fixing output parser to correct any AI formatting discrepancies. Finally, dedicated code nodes transform the structured data for various resume sections into clean, presentable HTML, ready for display on web pages or documents. Streamline your data management and content generation with this smart automation.
Key Features
- Telegram-Triggered Input: Easily initiate the resume parsing process by simply sending a message via Telegram.
- Advanced AI Data Extraction: Utilizes OpenAI's GPT-4 for intelligent and accurate extraction of various resume components from unstructured text.
- Robust Structured Output: Enforces a comprehensive JSON schema for personal info, employment, education, projects, and more, ensuring consistent data quality.
- Automatic Output Correction: Includes an auto-fixing parser to correct any malformed JSON output from the AI, enhancing reliability.
- Dynamic HTML Formatting: Transforms extracted data from employment, education, projects, and volunteering into neatly formatted HTML snippets.
How To Use
- Set up Telegram Trigger: Configure the 'Telegram trigger' node by connecting your Telegram bot credentials and specifying
messageupdates. - Configure OpenAI Credentials: Provide your OpenAI API credentials to the 'OpenAI Chat Model' nodes. Ensure you have access to
gpt-4-turbo-preview. - Review JSON Schema: Examine the 'Structured Output Parser' node to understand the expected resume data structure. Modify the
jsonSchemaif your requirements differ. - Customize HTML Generation (Optional): Adjust the JavaScript code within the 'Convert ... to HTML' nodes (e.g., 'Convert education to HTML', 'Convert employment history to HTML') to fine-tune the HTML output formatting as needed.
- Connect Subsequent Nodes: After the HTML conversion nodes, connect to your desired destination (e.g., a database, an email sender, a website builder) to utilize the processed data and HTML.
Apps Used
Workflow JSON
{
"id": "89571e5c-ab7c-4bc6-b2d3-84cb78d8ce55",
"name": "AI-Powered Resume Parsing and HTML Formatting",
"nodes": 12,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 89571e5c-ab7c...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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