Image Text Recognition and Automated Archiving Workflow

This workflow achieves fully automated processing from automatically capturing images from the web to text content recognition and result storage. Utilizing a powerful image text detection service, it accurately extracts text from images, and after formatting, automatically saves the recognition results to Google Sheets for easy management and analysis. This process significantly enhances the efficiency and accuracy of image text processing, making it suitable for businesses and individuals that need to handle large volumes of image text information. It is widely used in fields such as market research and customer service operations.

Workflow Diagram
Image Text Recognition and Automated Archiving Workflow Workflow diagram

Workflow Name

Image Text Recognition and Automated Archiving Workflow

Key Features and Highlights

This workflow automates the entire process from automatically fetching images from the web, recognizing text content within the images, to processing and storing the recognition results. Leveraging AWS Rekognition’s powerful text detection capabilities, it accurately extracts textual information from images. The extracted text is then formatted through custom functions and automatically appended to Google Sheets for easy subsequent management and analysis.

Core Problems Addressed

It solves the cumbersome and error-prone manual process of recognizing text in images by enabling automated extraction and structured storage of image text. This significantly improves work efficiency and data accuracy, making it ideal for scenarios requiring batch processing of image text information.

Application Scenarios

  • Automatically extracting text from promotional posters in market research
  • Automated archiving of customer-uploaded images by customer service or operations teams
  • Preprocessing image text for content review and text analysis
  • Automatic collection of product image text information on e-commerce platforms
  • Digitizing and organizing educational and training material images containing text

Main Workflow Steps

  1. HTTP Request: Download target image files from specified URLs.
  2. AWS Rekognition: Invoke AWS text detection service to recognize text content within images.
  3. Set1 Node: Extract and organize image name, image URL, and recognized text information.
  4. Function1 Node: Format the recognized text (e.g., convert to lowercase).
  5. Google Sheets1: Append the organized text information into Google Sheets for data archiving.

Involved Systems or Services

  • AWS Rekognition: Image text recognition service
  • HTTP Request Node: Used for downloading image files
  • Google Sheets: Data storage and management platform

Target Users and Value

This workflow is suitable for enterprises and individuals who need to efficiently manage large volumes of image text data, especially professionals in marketing, content review, data analysis, customer service operations, and education/training sectors. By automating the process, it reduces manual labor, enhances data processing efficiency and accuracy, and enables rapid digital management of information.