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Telegram resume turned into a clean PDF with Gotenberg

by Mindketn8n workflowBusiness
Newversion 1 · updated
Nodes33Apps3Like

Overview

  1. OpenAI Chat Model
  2. Auto-fixing Output Parser
  3. OpenAI Chat Model1
  4. Structured Output Parser
  5. Telegram trigger
  6. Auth
  7. Check if start message
  8. No operation (unauthorized)
  9. Get file
  10. No operation (start message)
  11. Extract text from PDF
  12. Parse resume data
  13. Set parsed fileds
  14. Convert employment history to HTML
  15. Convert education to HTML
  16. Convert projects to HTML
  17. Personal info
  18. Convert volunteering to HTML
  19. Technologies
  20. Employment history
  21. Education
  22. Projects
  23. Merge personal info and technologies
  24. Volunteering
  25. Merge education and employment history
  26. Merge projects and volunteering
  27. Merge all
  28. Merge other data
  29. Set final data
  30. Convert raw to base64
  31. Convert to HTML
  32. Generate plain PDF doc
  33. Send PDF to the user
Telegram resume turned into a clean PDF with Gotenberg, picture 1
‹2 / 2›

An n8n workflow that takes a resume PDF sent to a Telegram bot and has an OpenAI model sort it into sections. It builds a tidy HTML page, prints it to PDF with Gotenberg and sends the PDF back.

Telegram resume turned into a clean PDF with Gotenberg is an n8n workflow in the Business category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.

At a glance

Runs in
  • n8n Cloud: import the file into a new workflow there, and point the Gotenberg node at a server n8n Cloud can reach
  • Your own n8n server: the same file and steps, behind a public HTTPS address, with Gotenberg in the same Docker network
  • Telegram: send the PDF to the bot in a private chat
  • Another PDF service: replace Generate plain PDF doc with a call to a different service

Platform

n8nWorkflow automation, in n8n’s cloud or on your own server
Connects 3 apps

How it works

Trigger

A PDF sent to a Telegram bot

It starts when someone sends your bot a message:

  • A PDF file with a resume
  • Only the chat whose ID you set is let through

Actions

  1. The bot downloads the file and reads its text
  2. OpenAI’s gpt-5.6-terra sorts the text into sections that fit a JSON schema, and an auto-fixing parser repairs a bad answer
  3. Small code steps and Set nodes turn each section into HTML
  4. The sections are merged into one page, saved as index.html and sent to Gotenberg
  5. Gotenberg returns a PDF, and the bot sends it back named after the person on the resume

Result

A tidy PDF of the resume in the same Telegram chat

Integrations

What you need before you start.

Telegram

Chat

Takes the PDF the user sends and delivers the new PDF.

NeedsA bot token from BotFather, in a Telegram credential, and your chat ID

OpenAI

Chat model

Sorts the resume text into sections with gpt-5.6-terra.

NeedsAn OpenAI API key, in an OpenAI credential

Gotenberg

PDF printer

Prints the built HTML page to a PDF.

NeedsA running Gotenberg server that n8n can reach

Workflow check

Checked by Mindket on 13 Nov 2026

Steps
29 steps, starting on a Telegram event
AI
1 step calls an AI model: Parse resume data
Sign-ins
Signs in to: Telegram and OpenAI
API keys
No API key is left in the file
Step types
Mindket’s checker reads all 11 of its step types

Read from the workflow’s file, not from a run.

About

What it is

This n8n workflow turns a resume PDF into a new, tidy PDF through Telegram. You send the PDF to your bot. The workflow reads its text and asks OpenAI’s gpt-5.6-terra to sort it into personal details, technologies, jobs, education, projects and volunteering. Small code steps turn each section into HTML. Gotenberg prints the page to a PDF, and the bot sends it back. Thirty-three nodes do the work, beside ten sticky notes.

Who it suits

Recruiters and career coaches who want every resume in one clean layout. Skip it for scanned resumes. The workflow reads the PDF’s text layer, so a PDF that holds only pictures of pages gives it nothing to read.

Who uses it, and how
IndustryWho uses itHow they use itExample
RecruitmentRecruitersPut resumes from many candidates into one layoutA recruiter forwards a candidate’s PDF to the bot and gets back a clean copy to share with a client.
Career coachingCoachesTidy a client’s resume before an applicationA coach sends a draft and gets the neat version back in the same chat.
EducationCareer officesGive students a standard formatAn office runs student resumes through the bot before a job fair.
StaffingAgency staffPrepare resumes for a client without each candidate’s own stylingA coordinator converts a pile of PDFs one after the other in a private chat.

You need good n8n skills and three services: Telegram, OpenAI and a Gotenberg server. Telegram sends each message to your n8n over HTTPS, so n8n needs a public address.

Where to use it

Any n8n that Telegram can reach over HTTPS will run it, next to a Gotenberg server that n8n can call.

  • n8n Cloud: import the file into a new workflow there, and point the Gotenberg node at a server n8n Cloud can reach
  • Your own n8n server: the same file and steps, behind a public HTTPS address, with Gotenberg in the same Docker network
  • Telegram: send the PDF to the bot in a private chat
  • Another PDF service: replace Generate plain PDF doc with a call to a different service

Setup

Download saves a zip with workflow.json and Mindket’s setup notes in your downloads folder. Three services are involved.

What you need first
NeedDetail
n8nOn n8n Cloud or on a server of your own with a public HTTPS address
TelegramA bot made with BotFather, its token in a Telegram credential, and your own chat ID
OpenAIAn API key, saved in an OpenAI credential
GotenbergA running Gotenberg server that n8n can reach
A resumeA PDF with a text layer, up to 20 MB
  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. Run Gotenberg, for example with Docker, and check the address in Generate plain PDF doc. The file points at http://gotenberg:3000, which works when both run in one Docker network.
  3. Add a Telegram credential with your bot token and select it in Telegram trigger, Get file and Send PDF to the user.
  4. Add an OpenAI credential and select it in OpenAI Chat Model and OpenAI Chat Model1.
  5. Put your own Telegram chat ID in Auth, in place of 0. To find it, send your bot a message and read message.chat.id in the trigger’s output.
  6. Activate the workflow, then send your bot a resume as a PDF file.

How to use it

Send a PDF file to the bot. After a short wait the bot sends back a PDF named after the person on the resume. The bot ignores the /start message and any message from a chat other than yours.

What to change for a different result
To changeWhere
The fields it extractsjsonSchema in Structured Output Parser
The instruction to the modelThe message in Parse resume data
The layout of each sectionThe HTML in the six section nodes and the four Convert … to HTML code nodes
The order of the sectionsThe text in Set final data
The modelmodel in OpenAI Chat Model and OpenAI Chat Model1
The file namefileName in Send PDF to the user
Who may use the botThe chat ID in Auth

Example

A recruiter sends a two page PDF resume to the bot.

The bot replies with a PDF named after the candidate, such as jane-doe.pdf. All six sections sit in a plain layout.

For newcomers and experts

If you are new. n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. Gotenberg is a small server that prints web pages to PDF. Here it turns the page the workflow builds into a PDF file.

For experts. The node Parse resume data is a Basic LLM Chain version 1.3. An auto-fixing output parser sits in front of a structured one, so a malformed answer goes back to the model for repair. The five Merge nodes join the six sections in multiplex mode.

Where to look closer
NodeWhat it doesWhat to know
Telegram triggerStarts the run for each message the bot getsTelegram needs an HTTPS address for the webhook
AuthLets only the chat with your ID throughThe file holds 0 as a placeholder, so nothing passes until you change it
Extract text from PDFReads the text layer of the PDFA scanned resume gives it no text
Parse resume dataAsks OpenAI for the resume as JSON that fits the schemaThe model runs in JSON mode, and the schema lists the fields
Convert to HTMLTurns the page text into a file called index.htmlThe text is base64, which this node version expects by default
Generate plain PDF docPosts the file to Gotenberg’s Chromium route and receives the PDFGotenberg expects the page to be named index.html
Send PDF to the userSends the PDF back in the chat that askedThe file name comes from the name on the resume, with its first space replaced by a hyphen

Good to know

The model was replaced and the sticky notes that promoted outside channels were dropped. Mindket did not run this workflow.

  • Model: the file used gpt-4-turbo-preview, which points to gpt-4-0125-preview. OpenAI’s deprecations page, read on 12 November 2026, lists that snapshot as shut down on 26 March 2026. Mindket’s copy uses gpt-5.6-terra in both chat nodes. The second one, for the auto-fixing parser, had no model set, so n8n’s default gpt-5-mini would have run, which OpenAI shuts down on 11 December 2026
  • Settings: the temperature of 0 was dropped, because the model page lists no temperature setting. JSON mode stays, which OpenAI’s structured outputs guide lists for Chat Completions
  • Resume text: values from the resume go into the HTML as they are, with no escaping, so unusual characters in a resume can change the layout. Read the PDF before you share it
  • Output: the fields linkedin and foreign_languages are in the schema, but the page does not show them
  • Telegram: bots can download files of up to 20 MB (Telegram’s Bot API page), and a message that is not /start must carry a document
  • Your data: the resume text goes to OpenAI, and the PDF passes through your Gotenberg server and Telegram. The file holds no credential

README and files

README

Telegram resume turned into a clean PDF with Gotenberg

An n8n workflow that takes a resume PDF sent to a Telegram bot and has an OpenAI model sort it into sections. It builds a tidy HTML page, prints it to PDF with Gotenberg and sends the PDF back.

What is inside

  • workflow.json: the workflow as n8n exports it, forty-three nodes. Thirty-three do the work and ten are sticky notes that label the steps. It holds no credential.
  • README.md: these notes.

What we changed from the original copy

  • The chat model was gpt-4-turbo-preview, which points to gpt-4-0125-preview. OpenAI’s deprecations page, read on 12 November 2026, lists that snapshot as shut down on 26 March 2026. Mindket’s copy uses gpt-5.6-terra.
  • The second chat model, the one for the auto-fixing parser, had no model set. n8n would have run its default gpt-5-mini, which OpenAI shuts down on 11 December 2026. It now uses gpt-5.6-terra too.
  • The temperature of 0 was dropped from both chat nodes. The model page lists no temperature setting.
  • The sticky notes that promoted a video channel and a newsletter were removed, and the note about the model was updated.
  • Several nodes were linked to credentials in the author’s n8n. The links are gone, so select your own.
  • Nothing else. The code nodes, the merges, the schema and the Gotenberg call are the file’s own.

Before you start

  • An n8n instance with a public HTTPS address, on n8n Cloud or your own server. Telegram sends every message to that address.
  • A Telegram bot made with BotFather, its token and your own chat ID.
  • An OpenAI API key.
  • A Gotenberg server that n8n can reach, for example one started with Docker.

Set it up

  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. Run Gotenberg, for example with Docker, and check the address in Generate plain PDF doc. The file points at http://gotenberg:3000, which works when both run in one Docker network.
  3. Add a Telegram credential with your bot token and select it in Telegram trigger, Get file and Send PDF to the user.
  4. Add an OpenAI credential and select it in OpenAI Chat Model and OpenAI Chat Model1.
  5. Put your own Telegram chat ID in Auth, in place of 0. To find it, send your bot a message and read message.chat.id in the trigger’s output.
  6. Activate the workflow, then send your bot a resume as a PDF file.

How a run goes

  1. Telegram trigger starts the run for each message. Auth lets only your chat through, and Check if start message drops /start.
  2. Get file downloads the PDF, and Extract text from PDF reads its text.
  3. Parse resume data asks OpenAI for the resume as JSON. Auto-fixing Output Parser and Structured Output Parser check it against the schema.
  4. Four code nodes and six Set nodes turn the sections into HTML, and five Merge nodes join them. Set final data puts them in order.
  5. Convert raw to base64 and Convert to HTML save the page as index.html.
  6. Generate plain PDF doc posts the file to Gotenberg’s Chromium route and receives the PDF. Send PDF to the user sends it back in the chat.

Change the result

  • The fields it extracts: jsonSchema in Structured Output Parser.
  • The instruction to the model: The message in Parse resume data.
  • The layout of each section: The HTML in the six section nodes and the four Convert … to HTML code nodes.
  • The order of the sections: The text in Set final data.
  • The model: model in OpenAI Chat Model and OpenAI Chat Model1.
  • The file name: fileName in Send PDF to the user.
  • Who may use the bot: The chat ID in Auth.

Good to know

  • Mindket did not run this workflow. Telegram, OpenAI and Gotenberg were not called. The settings come from the vendors’ documentation and n8n’s source, read on 12 November 2026.
  • Gotenberg’s documentation lists the route /forms/chromium/convert/html with the form field files, and requires the page to be named index.html.
  • The address http://gotenberg:3000 in the file is a Docker service name. Change it if your Gotenberg runs elsewhere.
  • Values from the resume go into the HTML as they are, with no escaping. Read the PDF before you share it.
  • The fields linkedin and foreign_languages are in the schema, but the page does not show them.
  • Telegram bots can download files of up to 20 MB (Telegram’s Bot API page). A message that is not /start must carry a document.
  • The resume text goes to OpenAI, and the PDF passes through Gotenberg and Telegram.
  • The file holds no credential and no key. The chat ID in Auth is a placeholder.
Files
NOTICE.md  654 B
README.md  5 KB
workflow.json  31 KB

3 files, 36 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

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