Grade PDF assignments with Google Gemini and upload reports to Google Drive

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1. Workflow Overview

AI Assignment Grader with Automated Reporting Who’s it for This workflow is designed for educators, professors, academic institutions, coaching centers, and edtech platforms that want to automate t...

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.outputparserstructured, n8n-nodes-base.code, n8n-nodes-base.converttofile, @n8n/n8n-nodes-langchain.lmchatgooglegemini

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Grade PDF assignments with Google Gemini and upload reports to Google Drive
Workflow name: Grade PDF assignments with Google Gemini and upload reports to Google Drive

AI Assignment Grader with Automated Reporting

Who’s it for

This workflow is designed for educators, professors, academic institutions, coaching centers, and edtech platforms that want to automate the grading of written assignments or test papers. It’s ideal for scenarios where consistent evaluation, detailed feedback, and structured result storage are required without manual effort.

What it does / How it works

This workflow automates the end-to-end grading process for student assignments submitted as PDFs.

A student’s test paper is uploaded via a webhook endpoint.
The workflow extracts text from the uploaded PDF file.
Student metadata (name, assignment title) is prepared and combined with the extracted answers.
A predefined answer script (model answers with marking scheme) is loaded into the workflow.
An AI grading agent powered by Gemini compares the student’s responses against the answer script.
The AI:

Evaluates each question
Assigns marks based on correctness and completeness
Generates per-question feedback
Calculates total marks, percentage, and grade

The structured grading output is converted into:

An HTML grading report
A CSV file for records

The final CSV grading report is automatically uploaded to Google Drive for storage and sharing.

All grading logic runs automatically once the test paper is submitted.

Requirements

Google Gemini (PaLM) API credentials
Google Drive OAuth2 credentials
A webhook endpoint configured in n8n
PDF test papers submitted in a supported format
A predefined answer script with marks per question

How to set up

Connect your Google Gemini credentials in n8n.
Connect your Google Drive account and select the destination folder.
Enable and copy the webhook URL for test paper uploads.
Customize the Load Answer Script node with your assignment’s correct answers and marking scheme.
(Optional) Adjust grading instructions or output format in the AI Agent prompt.
Test the workflow by uploading a sample PDF assignment.

How to customize the workflow

Update the AI grading rubric to be stricter or more lenient.
Modify feedback style (short comments vs detailed explanations).
Change grading scales, total marks, or grade boundaries.
Store results in additional systems (LMS, database, email notifications).
Add plagiarism checks or similarity scoring before grading.
Generate PDF reports instead of CSV/HTML if required.

This workflow enables fast, consistent, and scalable assignment grading while giving students clear, structured feedback and educators reliable records.

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 - Structured Output Parser

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

Block 7 - Generate Results Table

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

Block 8 - Convert to CSV File

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

Block 9 - Prepare CSV Data

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

Block 10 - Google Gemini Chat Model

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

Block 11 - Upload file

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 12 - Sticky Note

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

Block 13 - Sticky Note1

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

Block 14 - Sticky Note2

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

Block 15 - Sticky Note3

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

3. Summary Table

Workflow	Grade PDF assignments with Google Gemini and upload reports to Google Drive
Complexity	advanced
Nodes	15
Categories	Document Extraction, AI Summarization
Author	Pixcels Themes
Published	02 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13806/13806.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 Grade PDF assignments with Google Gemini and upload reports to Google Drive 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.

Pixcels Themes

11 workflows

Nodes

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

Complexity

advanced

Published 02 Mar 2026

Likes 0

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Install path: /data/workflows/13806/13806.json

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Grade PDF assignments with Google Gemini and upload reports to Google Drive

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI Assignment Grader with Automated Reporting

Who’s it for

What it does / How it works

Requirements

How to set up

How to customize the workflow

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 - Structured Output Parser

Block 7 - Generate Results Table

Block 8 - Convert to CSV File

Block 9 - Prepare CSV Data

Block 10 - Google Gemini Chat Model

Block 11 - Upload file

Block 12 - Sticky Note

Block 13 - Sticky Note1

Block 14 - Sticky Note2

Block 15 - Sticky Note3

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