Automate assignment grading with GPT-4-Turbo and multi-format reports

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Important notice

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

1. Workflow Overview

Introduction Automates AI driven assignment grading with HTML and CSV output. Designed for educators evaluating submissions with consistent criteria and exportable results. How It Works Webhook rec...

Best for

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

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.extractfromfile, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.code, n8n-nodes-base.converttofile

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Automate assignment grading with GPT-4-Turbo and multi-format reports
Workflow name: Automate assignment grading with GPT-4-Turbo and multi-format reports

Introduction

Automates AI-driven assignment grading with HTML and CSV output. Designed for educators evaluating submissions with consistent criteria and exportable results.

How It Works

Webhook receives papers, extracts text, prepares data, loads answers, AI grades submissions, generates results table, converts to HTML/CSV, returns response.

Workflow Template

Webhook → Extract Text → Prepare Data → Load Answer Script → AI Grade (OpenAI + Output Parser) → Generate Results Table → Convert to HTML + CSV → Format Response → Respond to Webhook

Workflow Steps

Input & Preparation: Webhook receives paper, extracts text, prepares data, loads answer script.
AI Grading: OpenAI evaluates against answer key, Output Parser formats scores and feedback.
Output & Response: Generates results table, converts to HTML/CSV, returns multi-format response.

Setup Instructions

Trigger & Processing: Configure webhook URL, set text extraction parameters.
AI Configuration: Add OpenAI API key, customize grading prompts, define Output Parser JSON schema.

Prerequisites

OpenAI API key
Webhook platform
n8n instance

Use Cases

University exam grading
Corporate training assessments

Customization

Modify rubrics and criteria
Add PDF output
Integrate LMS (Canvas, Blackboard)

Benefits

Consistent AI grading
Multi-format exports
Reduces grading time by 90%

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 - Webhook - Upload Test Paper

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - Extract Text from Test Paper

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

Block 3 - Prepare Assignment Data

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

Block 4 - Load Answer Script

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

Block 5 - AI Agent - Grade Assignment

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 6 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 7 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 8 - Generate Results Table

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - Convert to HTML File

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 10 - Convert to CSV File

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 11 - Prepare CSV Data

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

Block 12 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 13 - Format Response

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

Block 14 - Sticky Note

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

Block 15 - Sticky Note1

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

3. Summary Table

Workflow	Automate assignment grading with GPT-4-Turbo and multi-format reports
Complexity	advanced
Nodes	15
Categories	Document Extraction, AI Summarization
Author	Cheng Siong Chin
Published	30 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10316/10316.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Automate assignment grading with GPT-4-Turbo and multi-format reports do?

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.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.extractfromfile n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.code n8n-nodes-base.converttofile

Complexity

advanced

Published 30 Oct 2025

Likes 0

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Install path: /data/workflows/10316/10316.json

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Automate assignment grading with GPT-4-Turbo and multi-format reports

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Introduction

How It Works

Workflow Template

Workflow Steps

Setup Instructions

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook - Upload Test Paper

Block 2 - Extract Text from Test Paper

Block 3 - Prepare Assignment Data

Block 4 - Load Answer Script

Block 5 - AI Agent - Grade Assignment

Block 6 - OpenAI Chat Model

Block 7 - Structured Output Parser

Block 8 - Generate Results Table

Block 9 - Convert to HTML File

Block 10 - Convert to CSV File

Block 11 - Prepare CSV Data

Block 12 - Respond to Webhook

Block 13 - Format Response

Block 14 - Sticky Note

Block 15 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions