Automate Document Processing with Telegram and AWS Textract
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Effortlessly extract data from documents sent via Telegram. This workflow automatically uploads files to AWS S3, processes them with AWS Textract for OCR, and stores the extracted information in Airtable.
About This Workflow
This n8n workflow streamlines document processing by leveraging the power of Telegram, AWS, and Airtable. When a file is sent to your Telegram bot, it's automatically uploaded to an AWS S3 bucket. Following this, AWS Textract intelligently analyzes the document, extracting key information through Optical Character Recognition (OCR). Finally, the extracted data is seamlessly appended to a specified table in your Airtable base, creating a fully automated data ingestion pipeline. This is ideal for businesses looking to digitize and manage incoming documents efficiently.
Key Features
- Telegram Integration: Trigger workflows instantly by sending documents via your Telegram bot.
- AWS Textract for OCR: Extract text and structured data from various document types with advanced AI.
- AWS S3 Storage: Securely store uploaded documents in the cloud.
- Airtable Data Management: Automatically populate your Airtable bases with extracted information.
How To Use
- Configure Telegram Trigger: Set up your Telegram bot and configure the
Telegram Triggernode to receive all updates and download incoming files. - Set up AWS S3 Upload: Configure the
AWS S3node to upload the received files to a designated S3 bucket using your AWS credentials. - Implement AWS Textract: Set up the
AWS Textractnode to process the uploaded documents. Ensure it's connected to receive the file data from the S3 node. - Connect to Airtable: Configure the
Airtablenode to append the extracted data to your desired table, specifying your Airtable application and credentials.
Apps Used
Workflow JSON
{
"id": "a6b380e6-601e-4f52-8e7a-faffc8e5da2c",
"name": "Automate Document Processing with Telegram and AWS Textract",
"nodes": 20,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a6b380e6-601e...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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