Telegram Resume Parser: OpenAI + Gotenberg PDF Normalization

Telegram Resume Parser that normalizes PDFs with OpenAI + Gotenberg

Send a resume PDF to a Telegram bot and automatically receive a cleaned, structured, and normalized PDF back in Telegram—parsed with OpenAI, formatted into HTML sections, then rendered into a final PDF via Gotenberg.

What this workflow does

This n8n automation turns incoming resume documents into consistent, structured output:

• Telegram trigger: Starts when a new Telegram message is received.
• Access validation: Checks the sender’s Telegram chat ID and ignores unauthorized users (also ignores the /start command).
• PDF download + text extraction: Downloads the attached PDF from Telegram and extracts its text.
• OpenAI structured parsing: Uses OpenAI to convert resume content into a structured JSON schema, including auto-fixing any schema mismatches.
• HTML normalization: Reformats resume sections into HTML, covering personal info, employment history, education, projects, volunteering, and technologies.
• HTML → PDF conversion: Sends the HTML to a Gotenberg endpoint to render a PDF.
• Return to user: Sends the generated normalized PDF back to the user in Telegram.

Use cases

• Recruiting teams want standardized resumes for faster review and consistent import pipelines.
• SaaS operators accept resume submissions via Telegram and return normalized PDFs for downstream processing.
• Automation engineers need an end-to-end Telegram → OpenAI parsing → Gotenberg PDF normalization workflow.

Technical details

• n8n workflow nodes/tools (as provided): Telegram, if, set, code, no op, merge.
• OpenAI: OpenAI chat model nodes to extract resume details into structured JSON.
• Gotenberg: Converts HTML to PDF (update the URL if your Gotenberg differs from http://gotenberg:3000/forms/chromium/convert/html).
• Setup steps: Add Telegram bot credentials, set your authorized Telegram chat ID (currently 0), add an OpenAI API credential, and ensure a reachable Gotenberg instance.