Use this powerful n8n workflow to automate receipt and table data extraction using OCR.space. This n8n templates guide explains the n8n trigger and data processing logic for accurate digitization.
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Manually transcribing receipts or structured data from images is time-consuming and prone to errors. This efficient n8n workflow solves this by providing a simple public form interface. When a user uploads an image, the workflow automatically routes the file to the OCR.space API, leveraging their specialized table recognition feature if requested. This n8n workflow is crucial for automation specialists who need reliable data extraction capabilities directly within their n8n environment. By utilizing a form n8n trigger, this powerful n8n automation makes complex OCR accessible to end-users without technical intervention.
This automation begins with a public form, which acts as the primary n8n trigger.
Trigger • Upload image for OCR form n8n node, and specifies if the image contains a table structure (Yes/No).Prepare • Normalize inputs n8n node standardizes the form inputs, specifically converting the 'Yes/No' radio selection into a usable isTable flag required by the OCR.space API. This standardization step is key for reliable execution of the n8n workflow.OCR.space • Parse image n8n node (an HTTP Request n8n node) sends the prepared file and parameters (including isTable, OCREngine 2, and language set to Polish 'pol') to the OCR.space endpoint. This requires configuring appropriate HTTP Header credentials.Display • Show OCR text n8n node renders the extracted text (ParsedResults[0].ParsedText) in a clean, styled web card for easy viewing and copying. This concludes the execution of this specific n8n template.To deploy this n8n workflow and start processing receipts, follow these steps:
apikey.OCR.space • Parse image n8n node.Trigger • Upload image for OCR form will become active, allowing users to upload images and trigger the automation.isTable variable).isTable variable dynamically based on the form output.multipart-form-data content type, sets the target language to pol (Polish), uses OCREngine 2, and dynamically includes the isTable parameter from the previous n8n node.$json.ParsedResults[0].ParsedText, styled using custom CSS for a clean, monospace receipt look.Automate Optical Character Recognition (OCR) and text cleanup using an n8n workflow triggered by Telegram images. This n8n template uses AI agents for polished, readable output.

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