Templates / Parse and normalize resume PDFs with Telegram, OpenAI, and Gotenberg

Parse and normalize resume PDFs with Telegram, OpenAI, and Gotenberg

Ready for 3.0

by Redowan Ahmed Farhan ✓ · 18 views · created 2026-08-01 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 33 nodes and runs on Telegram events (message). Along the way it connects OpenAI Chat Model and Telegram. It also calls gotenberg:3000 over HTTP.

How it runs

Trigger: On Telegram events (message).

  1. Auth (If): checks a condition and branches into true / false
  2. Check if start message (If): checks a condition and branches into true / false
  3. Get file (Telegram): work with file
  4. Extract text from PDF (Extract from File): extracts data from a file (pdf)
  5. Parse resume data (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model; output parser: Auto-fixing Output Parser
  6. Set parsed fileds (Edit Fields (Set)): sets or maps fields
  7. Convert employment history to HTML (Code): runs custom JavaScript code
  8. Convert education to HTML (Code): runs custom JavaScript code
  9. Convert projects to HTML (Code): runs custom JavaScript code
  10. Personal info (Edit Fields (Set)): sets or maps fields

…plus 16 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelTelegram

HTTP calls to: gotenberg:3000

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (14)

From the author

Quick overview This workflow accepts resume PDFs sent to a Telegram bot, extracts their text, uses OpenAI to parse the content into a structured JSON schema, reformats it into HTML sections, converts the HTML to a PDF via Gotenberg, and sends the normalized…

Excerpt from Redowan Ahmed Farhan's description on n8n.io.

View the original on n8n.io → Check your own copy

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