Extract and store text from chat images using AWS S3

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 sen...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
beginner n8n builders looking for reusable templates

Tools used

n8n-nodes-base.awstextract, n8n-nodes-base.telegramtrigger, n8n-nodes-base.airtable, n8n-nodes-base.awss3

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lorena.

Original n8n.io source

1.1 Workflow description

Title: Extract and store text from chat images using AWS S3
Workflow name: Extract and store text from chat images using AWS S3

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 node extracts text from the image.
Airtable node adds the extracted text and image information to a table.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AWS Textract

Type / Role: n8n-nodes-base.awsTextract - awsTextract
Config choices: Version 1

Block 2 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1

Block 3 - Airtable

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 1

Block 4 - AWS S3

Type / Role: n8n-nodes-base.awsS3 - awsS3
Config choices: Version 1

3. Summary Table

Workflow	Extract and store text from chat images using AWS S3
Complexity	beginner
Nodes	4
Categories	Document Extraction, Multimodal AI
Author	Lorena
Published	11 Jan 2022

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/1393/1393.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Extract and store text from chat images using AWS S3 do?

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 sen...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.

Lorena

26 workflows

Nodes

n8n-nodes-base.awstextract n8n-nodes-base.telegramtrigger n8n-nodes-base.airtable n8n-nodes-base.awss3

Complexity

beginner

Published 11 Jan 2022

Likes 0

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Install path: /data/workflows/1393/1393.json

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Extract and store text from chat images using AWS S3

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AWS Textract

Block 2 - Telegram Trigger

Block 3 - Airtable

Block 4 - AWS S3

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions