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Extract Text from Receipts with OCR.space Table Recognition

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Created by: Arkadiusz || akadiusz

Arkadiusz

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Last update a month ago

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📝 Description

This workflow automates the process of extracting text from receipt or document images using OCR.space and presenting the results in a clean, styled form.

It’s especially useful for cases like receipt digitization, invoice parsing, table recognition, or quick OCR text extraction directly inside n8n without third-party dashboards.

The workflow is lightweight and self-contained - all you need is an OCR.space API key.

🔄 How it works

  1. Form Trigger – Upload File
    A simple form collects the image (max 1 MB) and asks whether the file contains a table.

  2. Normalize Inputs
    Converts the “Yes/No” response into a boolean flag isTable and keeps the uploaded file attached.

  3. OCR.space API Call
    Sends the uploaded image to the OCR.space API with the correct parameters:

    • language=pol (Polish by default, can be changed)
    • OCREngine=2
    • isTable flag

  4. Display Results
    The parsed text (ParsedResults[0].ParsedText) is rendered in a styled card with monospace formatting for easier reading and copy-paste.

🎯 Use cases

  • Receipt OCR for expense tracking
  • Invoice or document text digitization
  • Table parsing from scanned files
  • Quick OCR text preview in n8n flows

⚙️ Requirements

📌 Notes & Customization

  • Language: change language parameter (eng, deu, etc.) to match your input.
  • Validation: add a file size check if you expect larger files.
  • Error handling: add an Error Trigger if you anticipate API rate limits.
  • Table vs Text: enabling isTable improves structured data parsing.

🔑 Keywords

OCR, receipt parsing, document OCR, invoice automation, text extraction, table recognition, AI OCR, OCR.space, workflow automation