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Extract data from resume and create PDF with Gotenberg

Streamline your hiring pipeline by automatically transforming unstructured resume uploads from Telegram into professionally formatted PDF documents. Using AI-powered extraction, the workflow parses candidate history into structured data and leverages Gotenberg to generate clean, standardized versions of every application. It’s an ideal solution for recruiters looking to organize messy submissions into a uniform database or document format.

Run this with your team's AI

What This Recipe Does

This automation transforms Telegram into a powerful mobile document processing hub. By leveraging AI-driven extraction, it allows team members to send documents, receipts, or invoices directly to a Telegram bot and receive structured data or converted files in return. Instead of manually entering information from attachments or switching between multiple software platforms, this workflow handles the heavy lifting of file conversion and data extraction automatically. It streamlines the bridge between mobile communication and back-office administration, ensuring that critical information trapped in documents is digitized and processed the moment it is received. This reduces human error, eliminates data entry bottlenecks, and accelerates business response times. Whether you are in the field or in the office, this solution provides a seamless way to capture and process business intelligence on the go, turning a simple messaging app into a sophisticated document management tool.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Http connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Http once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

What types of files can this automation process?

The workflow is designed to handle common document formats including PDFs and image files typically shared via mobile messaging.

Do I need a specific Telegram account for this?

You will need to create a standard Telegram Bot through BotFather, which provides the API token required to connect the service.

Can I change where the extracted data is sent?

Yes, while the workflow processes the document, you can easily add additional steps to send the final data to your CRM, database, or spreadsheet.

Is the document processing secure?

The automation processes files through your specific n8n instance, ensuring that your business documents remain within your controlled environment.

Coming from n8n?

This recipe uses nodes like Langchain.lmChatOpenAi, Code, Langchain.outputParserAutofixing, Langchain.outputParserStructured and 11 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

Langchain.lmChatOpenAi Code Langchain.outputParserAutofixing Langchain.outputParserStructured TelegramTrigger If NoOp Telegram ExtractFromFile Set Merge ConvertToFile HttpRequest StickyNote Langchain.chainLlm

Based on n8n community workflow. View original

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Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork