This workflow automates the process of extracting text from an image and logging it into a Google Sheet. Triggered by a webhook, the workflow first uses an HTTP Request node to download a specified image containing text from a public URL. Subsequently, the AWS Rekognition node processes this downloaded image, utilizing its 'detectText' capability to identify all textual content present within the image. Following the text detection, a Set node efficiently consolidates all the individual text detections into a single, comma-separated string. Finally, this aggregated text string is appended as a new row to a pre-configured Google Sheet, effectively creating a structured log of the extracted information. This automation is ideal for scenarios requiring automated text harvesting from images and centralized data management, such as monitoring image-based content or digitizing physical documents. The workflow concludes by responding to the initial webhook with the result of the Google Sheet operation.
Instantly extract image text using AWS Rekognition, automatically logging data to Google Sheets for streamlined content management and increased productivity.
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Click the "Download Workflow" button above to get the JSON file.
In your n8n instance, go to Workflows → Import and select the JSON file.
Set up your Aws Rekognition and other service credentials in n8n.
Activate the workflow and test it to ensure everything works correctly.
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