AI Resume Data Extraction & Structured PDF via Telegram
Extracts structured data from PDF resumes uploaded via Telegram using AI, formats into HTML, and generates a new PDF with Gotenberg. Ideal for HR automation and data processing.
This workflow automates the extraction of key data from PDF resumes uploaded through a Telegram bot. Upon receiving a readable PDF, it authenticates via chat ID, extracts text, and processes it through an AI chain featuring OpenAI Chat Model and Structured Output Parser to convert unstructured content into JSON-structured data like employment history and projects.
The extracted sections are then formatted into clean HTML templates. Finally, Gotenberg converts this HTML into a professional, structured PDF. This demo workflow is highly customizable—modify the JSON schema for specific needs, integrate with databases, or swap Gotenberg for services like PDFMonkey.
Benefits include significant time savings for recruiters handling resumes, improved data accuracy via AI, and easy Telegram integration for mobile uploads. Use cases span HR onboarding, talent acquisition pipelines, and document reformatting. Note: Ensure GDPR compliance for production use, as it's designed for demo purposes. Requires Telegram credentials, OpenAI API, and local Gotenberg installation.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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