AwsTextract Automate - N8N Workflow Directory

Target Audience

- Small Business Owners: Ideal for those looking to automate receipt processing and data entry into Airtable.
- Developers: Useful for developers who want to integrate AWS Textract with Telegram for automated document handling.
- Data Analysts: Beneficial for analysts who need to extract data from documents and store it systematically.
- Telegram Bot Users: Perfect for users who want to leverage Telegram for document uploads and processing.

Problem Solved

This workflow addresses the challenge of manually processing receipts and documents. By integrating AWS Textract with Telegram and Airtable, it automates the extraction of text from images or documents sent via Telegram, eliminating the need for manual data entry and reducing human error. This saves time and enhances efficiency in managing receipts.

Workflow Steps

1. Trigger via Telegram: The workflow starts when a user sends a message or document to the Telegram bot, which serves as the trigger point.
2. Upload to AWS S3: The received document is uploaded to an AWS S3 bucket (textract-demodata) for storage and further processing.
3. Extract Text with AWS Textract: After uploading, the document is processed by AWS Textract, which extracts the text and data from the document.
4. Append Data to Airtable: Finally, the extracted data is appended to a specified table (receipts) in Airtable, allowing for easy access and management of the information.

Customization Guide

- Change Webhook ID: Modify the webhookId in the Telegram Trigger node to connect to a different bot.
- Adjust AWS S3 Bucket: Update the bucketName in the AWS S3 node to use a different S3 bucket for document storage.
- Modify Airtable Table: Change the table parameter in the Airtable node to append data to a different table as needed.
- Add Additional Fields: Customize the parameters in the AWS Textract and Airtable nodes to extract and store specific fields relevant to your documents.