AI email parser

Hello! I am implementing automation on Node.js that will operate autonomously 24/7.

I will use the Gmail API to monitor emails and the Gemini 1.5 Pro API for intelligent invoice analysis. The advantage of this approach is that the system easily recognizes data even from complex PDF scans and links, automatically separating the cost of flowers, delivery, and customs clearance (using the vision capabilities of neural networks).

I will integrate duplicate checks and record data in Google Sheets through the official Google APIs library. You will receive a reliable tool that requires no manual intervention and clearly structures all financial data.

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I can process any type of invoices that you receive and record everything in Google Sheets via the Google Sheets API.

This is roughly the stack we need.

1. Access to Gmail

To read emails automatically:

Through the Gmail API (recommended):
… • google-api-python-client
• google-auth
• google-auth-oauthlib

for:
• reading emails
• retrieving attachments
• reading the body of the email

⸻

2. Working with PDF

If the PDF has text:
• pdfplumber
or
• PyMuPDF (fitz)

If the PDF is a scan (image):
• pytesseract
• Pillow

(and Tesseract OCR installed in the system)

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3. Parsing and searching fields
• re (built-in)
• dateparser
• rapidfuzz (for fuzzy searching words like “total”, “amount”)

Optionally (if you want AI):
• openai or another LLM client

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4. Google Sheets
• gspread
• google-auth

or:
• google-api-python-client (via Sheets API)

⸻

5. Link to the invoice
• requests
• beautifulsoup4

(if HTML page)

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Hello! I am interested in your project. I have extensive experience in:

📊 Data processing: Openpyxl, JSON, MySQL, MongoDB, Google Sheets API
🤖 Automation and emulation of user actions: JavaScript, Selenium, Playwright
⚡️ Asynchronous and multithreaded parsing: Requests, WebSockets, HTTPX, BeautifulSoup4
🔍 OCR and text search: Tesseract, FuzzyWuzzy
🖼 Media processing: OpenCV, Pillow
🖥 GUI implementation: HTML-webview, Tkinter, DearPyGui, React
📱 Development of Telegram bots of varying complexity: Telethon, Pyrogram, Aiogram
…
I will complete the work quickly and efficiently. Contact me to discuss the details and deadlines of the project!

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Good evening. I have familiarized myself with your project and understand that I am ready to complete it. The essence of the work is clear to me, and I can handle this task. If you choose me, you will be satisfied with the result :)

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Good day.

We can create a tool that automatically checks new emails in Gmail, finds invoices in attachments, text, or links, extracts the necessary fields, and adds them to Google Sheets without duplicates. For PDFs, we will implement proper text reading, and if necessary, we will connect OCR to extract data even from scans. The focus will be specifically on the required amounts: flowers, delivery, customs clearance, and total. If a field is not found, we will leave it empty and not disrupt the process. We are ready to discuss examples of your invoices and the table format; after that, we will provide timelines and budget.

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Good day!

I have over 4 years of commercial experience in developing SaaS solutions and automated data processing systems. I have already implemented a similar project with automatic email scanning, processing attachments, and OCR recognition of PDFs/images with subsequent structured data storage in a table.

I am ready to implement a "turnkey" tool for you that will work completely autonomously without manual initiation: checking Gmail, finding invoices (in attachments, email text, or via links), extracting key fields, and correctly recording them in Google Sheets without duplicates.

How I will implement it technically:

— Python as the core of the solution
… — Gmail API for automatic email monitoring
— Google Sheets API for data recording
— pdfplumber / PyPDF2 for working with PDFs
— Tesseract OCR + pytesseract for recognizing scans
— requests + HTML parsing (BeautifulSoup) for processing invoices via links
— Logic for normalizing and validating data before recording

The system will:

— automatically determine the presence of an invoice
— extract the date, number, supplier, currency, amounts
— with a specific focus on: price for flowers, delivery, customs clearance, and total
— leave empty fields if data is missing (without errors in the process)
— check the uniqueness of the invoice (number + amount + date) to avoid duplicates

I will make the architecture scalable — with the possibility of adding new invoice formats or expanding the processing logic.

I am interested in long-term cooperation. I am ready to discuss the details and offer an optimal solution for your processes.

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Hello Denis, I am ready to complete it. I have experience working with Google. Please write to me privately, I would be happy to collaborate.

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Good day, I am implementing a tool for you with the functionality you need. The AI agent will scan incoming emails and collect all invoices into a Google spreadsheet.

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My greetings
I am implementing it as a server AI agent with the necessary functionality.
You will be able to run it, set it up on your own server - you will also be able to have a dialogue with it regarding your invoices - etc.

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Hello!
I am implementing this project based on n8n (Docker) using Python scripts where maximum data processing accuracy is required. This will provide you not just automation, but a fault-tolerant tool that works 24/7.
Key advantages of the solution:
Hybrid approach (n8n + Python): I use Python for complex text processing and number validation. This ensures that the price for flowers, delivery, and customs clearance will be calculated accurately, regardless of the invoice format.
High reliability: The system is deployed in a Docker container on your server. It is standalone, resilient to network failures, and automatically recovers after API errors.
Working with any format: The script not only reads PDFs but also follows links in emails and recognizes scans/photos through OCR (GPT-4o Vision).
Duplicate control: Complex logic checks by invoice number, date, and amount exclude duplicate data entry in Google Sheets.

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I will develop an automatic AI email parser that will scan incoming emails, detect invoices in various formats, including PDF and text elements, and store the necessary data in a Google spreadsheet. The main focus will be on accurately extracting critical fields such as date, invoice number, supplier, currency, total amount, as well as specific prices.

I have experience in developing AI solutions and data processing, including implementing a system that uses OCR to extract text from PDF documents. I have worked on projects where I integrated the Gmail API for automatic processing of incoming emails with subsequent data recording in Google spreadsheets.

What are the specifications for the format of the Google spreadsheet? Should processing of invoices from specific suppliers be anticipated?

The deadlines are 3-4 weeks, and the price is within the project budget.

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Good evening, write to discuss, we will do what you need, there are a couple of good options on how to implement it.

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Good evening, Denis!
In general, the task is clear, but for an accurate response regarding the deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.

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Hello! I have carefully reviewed your project and am ready to start working. I guarantee quality and timely execution.

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Hello! I am engaged in process automation using Python. I am interested in your project. Since the invoice formats from different suppliers usually vary greatly, I would recommend building the system on flexible logic (using AI parsing). This will allow the tool to adapt independently to new types of PDFs or links without the need to rewrite the code each time. I have experience with such integrations (Gmail + Sheets + OCR) and am ready to help with an architecture that will not create duplicates. For now, I am providing a price based on basic functionality. Please share examples of several invoices so that I can more accurately assess the workload and provide an exact cost.

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Good day! I am ready to complete this project. Extensive experience in developing various applications.

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Hello, I am a Python developer, I have experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today. I also have experience working with Google Sheets, AI, and OCR.

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Hello! I am ready to develop an automatic invoice processing system according to your specifications. I specialize in Python automation and integration with Google API, so I offer a reliable solution that will work steadily and without duplicates.

How I will implement the logic:

Monitoring: I will connect the Gmail API for automatic tracking of new emails in the background (without manual triggering).

File extraction: The script will be able to read text directly from the email, download attached PDFs, and also follow links to download documents.

Parsing and OCR: I will use specialized libraries (for example, pdfplumber) for reading PDFs, and I will set up OCR for scanned documents. To accurately search for specific fields (price for flowers, delivery, customs clearance), I will write flexible algorithms that will not "fail" if a field is missing.
…
Google Sheets: I will connect the Sheets API for neatly recording the collected data into the required columns.

The system can be deployed on a server for 24/7 operation. I am ready to look at examples of your invoices from suppliers to better assess the complexity of parsing.

Write in the chat, and we will discuss the details!

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Good day. I can implement it using a local AI agent. Your data will not go to the suppliers. Let's discuss the details.

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Good day!

Implementation:
Gmail API + AI parsing (OpenAI) + Google Sheets API.
The system automatically monitors incoming emails, recognizes invoices (PDF, text, links), extracts data through AI, and records it in Google Sheets. Duplicates are filtered by invoice number.

Why AI parsing:
Invoices from different suppliers have different formats. Instead of writing separate rules for each one — I use AI, which understands the structure of any invoice and extracts the necessary fields by itself.

… Experience:
Similar projects with Gmail + Google Sheets automation (Make.com (http://make.com/), Python). Experience with OCR and PDF processing.

Auto-start: Once an hour (or upon receiving a new email).

Ready to discuss the details.

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Good evening, I can implement reading emails and writing data to a table on n8n. Write to me, we will discuss.

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