ManualTrigger Automate

For ManualTrigger Automate, streamline document processing by manually triggering an integration with AWS Textract and AWS S3. Effortlessly extract text from images stored in S3, enhancing efficiency and accuracy in data handling.

7/8/2025
3 nodes
Simple
manualsimpleawstextractawss3
Categories:
Manual TriggeredSimple WorkflowCloud Storage & File Management
Integrations:
AwsTextractAwsS3

Target Audience

This workflow is ideal for:
- Business Analysts: Need to extract data from documents efficiently.
- Developers: Looking to integrate AWS services into applications with minimal setup.
- Data Scientists: Require automated data extraction from images for analysis.
- Small Business Owners: Want to streamline document processing without extensive resources.

Problem Solved

This workflow addresses the challenge of extracting text and data from images, specifically invoices, by leveraging AWS Textract and S3 services. It automates the process, reducing manual effort and the potential for errors, thereby enhancing productivity and accuracy in data management.

Workflow Steps

  • Manual Trigger: The workflow starts when the user clicks 'execute'. This action initiates the process.
    2. AWS S3 Node: The workflow accesses the specified file (Rechnung.jpg) from the S3 bucket (textract-demodata). This step ensures that the necessary document is available for processing.
    3. AWS Textract Node: Once the file is retrieved, AWS Textract analyzes the document to extract text and data. This step is crucial for transforming unstructured data into a structured format that can be utilized for further analysis or processing.

    • Customization Guide

    Users can customize this workflow by:
    - Changing the File Key: Update the fileKey parameter in the AWS S3 node to point to a different document.
    - Modifying the Bucket Name: Adjust the bucketName parameter to use a different S3 bucket where documents are stored.
    - Enhancing Textract Parameters: Explore additional parameters in the AWS Textract node to fine-tune the extraction process based on specific document types or requirements.
    - Integrating Additional Nodes: Users can add more nodes to process the extracted data further, such as storing it in a database or sending it via email.