LangChain Automate

LangChain Automate streamlines resume extraction and formatting through Telegram, transforming uploaded documents into structured HTML and PDF outputs. This automated workflow efficiently parses personal information, employment history, education, projects, and volunteering details, delivering a polished resume directly to users. Save time and enhance productivity with seamless integration of AI-driven data processing and file conversion.

7/8/2025
43 nodes
Complex
manualcomplexlangchaintelegramtriggernooptelegramextractfromfileconverttofilesticky noteadvancedcommunicationbotlogicconditionalfilesstorageapiintegration
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
LangChainTelegramTriggerNoOpTelegramExtractFromFileConvertToFileSticky Note

Target Audience

Target Audience


- Job Seekers: Individuals looking for a streamlined way to extract and format their resume information.
- Recruiters: Professionals who need to quickly gather and analyze candidate information from resumes.
- Developers: Those interested in automating resume processing and integrating it with messaging platforms like Telegram.
- HR Departments: Organizations aiming to simplify the resume submission and review process through automation.
- Students: Individuals entering the job market who need to create professional resumes efficiently.

Problem Solved

Problem Solved


This workflow addresses the challenges of resume extraction and formatting by automating the process of:
- Collecting resume files from users via Telegram.
- Extracting text from PDF resumes.
- Parsing and structuring the extracted data into a unified format.
- Converting the structured data into a professional HTML and PDF format for easy sharing.
This automation reduces manual effort, minimizes errors, and saves time in the recruitment process.

Workflow Steps

Workflow Steps


1. Trigger: The workflow starts when a user sends a message to a Telegram bot.
2. Authentication: The bot checks if the user is authorized to use the service based on their chat ID.
3. File Retrieval: If authorized, the bot retrieves the resume file sent by the user.
4. Text Extraction: The workflow extracts text from the uploaded PDF resume.
5. Data Parsing: The extracted text is parsed to identify key sections such as personal info, education, employment history, projects, and volunteering.
6. HTML Conversion: Each section is converted into HTML format for better presentation.
7. Merge Data: The workflow merges all sections into a single structured output.
8. Base64 Encoding: The final output is encoded into a base64 string for file conversion.
9. HTML File Creation: The base64 string is converted into an HTML file.
10. PDF Generation: The HTML file is sent to a PDF conversion service to generate a PDF document.
11. Send PDF: Finally, the generated PDF is sent back to the user via Telegram.

Customization Guide

Customization Guide


- Modify Credentials: Update the API credentials for OpenAI and Telegram to connect with your accounts.
- Adjust JSON Schema: Customize the JSON schema in the output parser to fit your specific resume structure and requirements.
- Change HTML Formatting: Edit the HTML conversion scripts to modify how each section of the resume is displayed in the final output.
- Add Additional Sections: Extend the workflow by adding new nodes for additional resume sections or features, such as skills or certifications.
- Integrate with Other Services: Connect the workflow with other services or APIs to enhance functionality, such as storing resumes in a database or analyzing them further.
LangChain Automate - N8N Workflow Directory