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Extract text from receipts with OCR.space table recognition

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 ...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.form, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Arkadiusz.

Original n8n.io source

1.1 Workflow description

Title
Extract text from receipts with OCR.space table recognition
Workflow name
Extract text from receipts with OCR.space table recognition

📝 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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Trigger • Upload image for OCR

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.3

Block 2 - Prepare • Normalize inputs

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - OCR.space • Parse image

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 4 - Display • Show OCR text

Type / Role
n8n-nodes-base.form - form
Config choices
Version 2.3

Block 5 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Extract text from receipts with OCR.space table recognition
Complexity intermediate
Nodes 9
Categories Document Extraction, AI Summarization
Author Arkadiusz
Published 12 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/8506/8506.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Extract text from receipts with OCR.space table recognition do?

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 ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.