Automate Document Processing with Telegram and AWS Textract
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Streamline your document management by automatically extracting data from files sent via Telegram. This workflow leverages AWS Textract to process documents and store the extracted information in Airtable for easy access and analysis.
About This Workflow
This n8n workflow revolutionizes how you handle document-based information. It begins with a Telegram trigger, ready to receive any file sent to your bot. Upon receiving a file, it's securely uploaded to AWS S3 for temporary storage and immediate processing. AWS Textract then intelligently analyzes the document, extracting key information such as text, forms, and tables. Finally, the extracted data is seamlessly appended to a designated table in Airtable, creating a structured and searchable database of your documents. This eliminates manual data entry and significantly speeds up your operational processes.
Key Features
- Instant Document Ingestion: Receive and process documents directly from Telegram chats.
- Intelligent Data Extraction: Utilize AWS Textract for powerful OCR and form analysis.
- Cloud Storage Integration: Securely store uploaded files in AWS S3.
- Structured Data Output: Automatically populate your Airtable base with extracted information.
How To Use
- Configure Telegram Trigger: Set up your Telegram bot and configure the
Telegram Triggernode to listen for incoming messages with file attachments. - Set up AWS S3 Upload: Connect your AWS credentials and specify a bucket name (
textract-demodatais used in the example) for theAWS S3node to upload received files. - Integrate AWS Textract: Use your AWS credentials to connect the
AWS Textractnode. Ensure it's set to process the files from S3. - Connect Airtable: Provide your Airtable API key and application ID. Configure the
Airtablenode to append data to yourreceiptstable in the specified application.
Apps Used
Workflow JSON
{
"id": "69369a92-81e8-4a13-8abe-7a80d57687ff",
"name": "Automate Document Processing with Telegram and AWS Textract",
"nodes": 8,
"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: 69369a92-81e8...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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