Extract and store text from chat images using AWS S3

Ready for 3.0

by Lorena ✓ · 4,695 views · created 2022-01-11 · Document Extraction, Multimodal AI

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This workflow has 4 nodes and runs on Telegram events. Along the way it connects Telegram, Airtable and AWS S3.

How it runs

Trigger: On Telegram events.

AWS S (AWS S3): upload
AWS Textract: uses AWS Textract
Airtable: append

Services it uses

Telegram Airtable AWS S3

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (4)

AWS Textractn8n-nodes-base.awsTextract
Telegram Triggern8n-nodes-base.telegramTrigger
Airtablen8n-nodes-base.airtable
AWS S3n8n-nodes-base.awsS3

From the author

This workflow extracts text from images sent in a Telegram chat and uploads the images to AWS S3. - Telegram Trigger node triggers the workflow when an image is sent in a Telegram channel. - AWS S3 node uploads the sent image to an S3 bucket. - AWS Textract…
Excerpt from Lorena's description on n8n.io.

View the original on n8n.io → Check your own copy

Extract and store text from chat images using AWS S3

What this workflow does

How it runs

Services it uses

Before you upgrade to n8n 3.0

Nodes used (4)

From the author

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