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Save business card contacts from Telegram photos to Google Contacts

This workflow turns a photo of a business card sent on Telegram into a new Google Contact, fully structured (name, company, role, phone, email, address), with a duplicate check so the same card never gets saved twice. This course is your node-by-node rebuild guide for filming.

Flow diagram

flowchart TD
    A["Telegram Trigger: Get Business Card Message"] --> B["Configuration (Set)"]
    B --> C{"Validate Business Card Message"}
    C -- true --> D{"Check Authorized User"}
    C -- false --> X1["(ignored)"]
    D -- true --> E["Get Business Card Photo (Telegram file/get)"]
    D -- false --> X2["(ignored)"]
    E --> F["Extract Business Card Text (Mistral AI OCR)"]
    F --> G["Extract Contact Fields (Information Extractor + OpenAI Chat Model)"]
    G --> H["Check Duplicate Contact (Google Contacts getAll)"]
    H --> I{"Is Duplicate Contact?"}
    I -- true --> J["Notify Duplicate Contact (Telegram)"]
    I -- false --> K["Create Google Contact"]
    K --> L{"Check Contact Created"}
    L -- true --> M["Notify Contact Added (Telegram)"]
    L -- false --> N["Notify Contact Error (Telegram)"]

Prerequisites & credentials

Service	Credential name	Type	How to get it
Telegram	Telegram account	telegramApi	Talk to @BotFather on Telegram, run /newbot, copy the token into a new Telegram credential in n8n.
Mistral AI (OCR)	Mistral Cloud API	mistralCloudApi	Create an account at console.mistral.ai, generate an API key under API Keys, paste it into a new "Mistral Cloud API" credential in n8n.
OpenAI	OpenAi account	openAiApi	platform.openai.com → API keys → create a key → paste into your OpenAI credential in n8n.
Google Contacts	Google Contacts account	googleContactsOAuth2Api	In n8n, create a new Google Contacts OAuth2 credential and complete the Google consent screen, granting the Contacts scope.

<aside> ⚠️

The native Mistral AI node used for OCR (n8n-nodes-base.mistralAi) takes the Telegram photo binary directly — no manual base64 conversion step is needed, unlike older HTTP-based OCR setups.

</aside>