Convert emailed timesheets into QuickBooks invoices with OCR, AI, Gmail and Sheets

AI-Powered Timesheet → Invoice Automation (Gmail + OCR + AI + Google Sheets + QuickBooks)

> Note: This workflow uses sticky notes extensively to document each logical section of the automation. Sticky notes are mandatory and already included to explain OCR, AI parsing, folder logic, duplicate handling, and QuickBooks steps.

This workflow automates the full lifecycle of timesheet-based invoicing — from emailed timesheets to structured Google Sheets records and finalized invoices in QuickBooks Online.

It is designed for real-world billing scenarios, including split weeks across months, zero-hour months, duplicate prevention, and first-week-of-year edge cases.

What This Workflow Does

Listens to Gmail for timesheet emails with attachments
Splits and processes each attachment independently
Extracts text using OCR (no hardcoded API keys)
Uses AI to parse month-wise billable hours
Correctly splits weeks spanning multiple months
Looks up Customer and PO details from Google Sheets
Organizes files in Client → Employee → Year folders in Google Drive
Reuses existing invoice sheets or creates new ones
Prevents duplicate invoice rows
Automatically finds or creates customers in QuickBooks
Creates invoices in QuickBooks using validated data

High-Level Workflow Stages

Gmail Intake and Attachment Loop
OCR Text Extraction
AI-Based Timesheet Parsing
Month Normalization and Validation
Customer & PO Lookup
Drive Folder Discovery and Creation
Invoice Sheet Reuse or Creation
Duplicate and Edge-Case Handling
Append Invoice Rows to Google Sheets
Create / Update Customers in QuickBooks
Create Invoices in QuickBooks

Each of these stages is clearly documented with sticky notes inside the workflow canvas.

Quick Setup Instructions

Import the workflow JSON into your n8n instance
Configure credentials for: Gmail
Google Drive
Google Sheets
OpenAI or Google Gemini
QuickBooks Online
Verify the OCR HTTP node: Default URL: https://universal-file-to-text-extractor.vercel.app/extract No hardcoded API keys are used
Configure Get Customer Info From PO Sheet: Spreadsheet ID
Sheet name and column mappings
Ensure the Client Invoices root folder exists in Google Drive
Send a test timesheet email
Execute the workflow once manually
Activate the workflow

Who This Workflow Is For

Agencies and consultancies billing from emailed timesheets
Finance and operations teams using Google Workspace + QuickBooks
Staffing firms with monthly or bi-weekly contractor billing
Teams that want a fully auditable, zero-manual invoice process

Requirements

n8n instance
Gmail account receiving timesheet emails
Google Drive and Google Sheets
OpenAI or Google Gemini API
OCR API endpoint (configurable)
QuickBooks Online account
Customer PO Google Sheet containing: Email
Customer Name
Company Name
Customer Account Number
PO Number
Item
Folder Name
Invoice range
Due Date Calculation

How It Works (Detailed)

  1. Email Intake and Attachment Loop

Gmail Trigger polls for timesheet emails
Attachments are split so each file is processed independently
Sticky notes explain the intake and loop logic

  1. OCR Extraction

Each attachment is sent to the OCR API
PDFs and images are converted to plain text
OCR logic is documented via sticky notes

  1. AI Timesheet Parsing (Month-Wise)

AI extracts data only from BILLABLE HOURS sections
Outputs strict JSON: Employee Name
Client Name
Month
Year
Week Start Date
Week End Date
Total Billable Hours

Special handling included: Split weeks across months
Zero-hour months still included
No guessed or inferred dates

  1. Month Normalization and Validation

AI output is normalized into a month array
Each month is processed independently
Invalid or zero-hour entries are skipped

  1. Customer and PO Lookup

Sender email is matched in the PO sheet
Retrieved values drive: Folder structure
Invoice logic
Due date calculation

  1. Google Drive Folder Structure

The workflow enforces a strict hierarchy:

Client Invoices └── Client └── Employee └── Year

Missing folders are created automatically.

  1. Invoice Sheet Naming and Search

Sheet names are generated using: Employee Name
Month
Year
Existing sheets are reused when found
Supports monthly and 15-day billing cycles

  1. Duplicate Prevention and Edge Cases

Duplicate invoice rows are detected and skipped
January first-week edge case is handled explicitly
Safe re-runs are supported

  1. Google Sheets Invoice Rows

Each appended row includes:

Customer Account Number
Invoice Date
Due Date
PO Number
Item Name
Quantity (Total Hours)
Period description

  1. QuickBooks Integration

Searches for existing customers in QuickBooks
Creates customers automatically if missing
Creates invoices using: Customer reference
Item
Quantity
Invoice date
Due date

All QuickBooks logic is documented with sticky notes.

How To Customize

Swap AI model (OpenAI ↔ Gemini)
Extend prompts to extract: Project
Cost center
Approval status
Add tax codes, currency, or unit pricing
Modify folder naming rules
Insert approval steps before invoice creation

Common Use Cases

Monthly contractor invoicing
Agency billing across multiple clients
Finance automation with audit-ready records
Eliminating manual timesheet-to-invoice work

Troubleshooting

| Issue | Likely Cause | |------|-------------| | No invoices created | Gmail filter mismatch or email already read | | OCR output empty | Unsupported file or OCR endpoint issue | | Wrong month split | Review AI prompt and month logic | | Duplicate rows | Duplicate detection conditions | | Invoice missing in QuickBooks | Customer or item configuration issue |

Notes on Community Guidelines

Sticky notes are used throughout the workflow
No hardcoded API keys are present
Markdown is used (no HTML tags)
This workflow is original and not copied

Need Help or Customization?

Digital Biz Tech can help tailor this workflow to your business.

We offer free setup support, including credential configuration and deployment.

Contact: rajeet.nair@digitalbiz.tech
Website: https://www.digitalbiz.tech
LinkedIn: https://www.linkedin.com/company/digital-biz-tech/
You can also DM us on LinkedIn for any help.

You can also DM us on LinkedIn.

0
Downloads
3
Views
8.58
Quality Score
intermediate
Complexity
Author:DIGITAL BIZ TECH(View Original →)
Created:2/13/2026
Updated:4/10/2026

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