Developer & DevOps

Extract CV data and generate formatted PDF automatically

43 nodes 292 145 Automatic trigger
Download

Workflow Description

Automation receives CV files via Telegram, processes them using OpenAI and LLM Chain to extract key information such as name, skills, and experience, structures the data into a professional PDF format, and delivers the file back to the user through Telegram.

How it works

  1. 1.Receive CV file from Telegram
  2. 2.Process document text using OpenAI and LLM Chain to extract structured data
  3. 3.Format extracted information and convert to PDF file
  4. 4.Send generated PDF back to user via Telegram

Use cases

  • Automate CV screening for recruitment departments
  • Speed up candidate evaluation in hiring processes
  • Generate standardized employee information files programmatically

Requirements

  • OpenAI API account with valid credentials
  • Configured Telegram bot or channel
  • File creation and sending permissions

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

OpenAI Output Parser Telegram LLM Chain

Details

Trigger Automatic trigger
Nodes 43
Apps 4
Views 292
Downloads 145

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (43)

/

OpenAI Chat Model

OpenAI

#1

Convert education to HTML

Code

#2

Auto-fixing Output Parser

Output Parser Autofixing

#3

OpenAI Chat Model1

OpenAI

#4

Structured Output Parser

Output Parser Structured

#5

Convert employment history to HTML

Code

#6

Convert projects to HTML

Code

#7

Convert volunteering to HTML

Code

#8

Telegram trigger

Set

#9

Auth

If

#10

No operation (unauthorized)

No Op

#11

Check if start message

If

#12

No operation (start message)

No Op

#13

Get file

Set

#14

Extract text from PDF

Extract From File

#15

Set parsed fileds

Set

#16

Personal info

Set

#17

Technologies

Set

#18

Employment history

Set

#19

Education

Set

#20

Projects

Set

#21

Volunteering

Set

#22

Merge education and employment history

Merge

#23

Merge projects and volunteering

Merge

#24

Merge personal info and technologies

Merge

#25

Merge all

Merge

#26

Set final data

Set

#27

Convert raw to base64

Code

#28

Convert to HTML

Convert To File

#29

Generate plain PDF doc

HTTP Request

#30

Send PDF to the user

Set

#31

Sticky Note

Sticky Note

#32

Sticky Note1

Sticky Note

#33

Sticky Note2

Sticky Note

#34

Sticky Note4

Sticky Note

#35

Sticky Note5

Sticky Note

#36

Parse resume data

LLM Chain

#37

Merge other data

Merge

#38

Sticky Note6

Sticky Note

#39

Sticky Note7

Sticky Note

#40

Sticky Note8

Sticky Note

#41

Sticky Note9

Sticky Note

#42

Sticky Note10

Sticky Note

#43

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