Neural networks for creating spreadsheets: top services for working with Excel and Google Sheets
Working with spreadsheets is often a chore: filling cells, selecting formulas, manually entering the same type of information. In 2025, neural networks have taken over some of this work. They also know how to create tables from scratch, analyze and visualize data, all without knowing technical details. Enter a query in natural language and get results.
In this article, let's take a look at the best neural networks to accomplish your tasks.
How neural networks work for tables
Neural networks for spreadsheets work as assistants taking over routine tasks. Describe the data in natural language and the neural network will execute it. The AI analyzes the data you upload, looks for patterns and automatically fills cells, looks for errors, substitutes formulas or builds graphs.
Top 5 neural networks for working with spreadsheets
ChatCSV
ChatCSV is an English-language online service that works in a dialog format. Download CSV and ask questions on the table.
Opportunities:
- Visualizes answers: constructs charts, graphs, and bar graphs;
- Sets the questions to start the work;
- Saves the chat history.
It'll do: Students, freelancers and beginners in analytics. Those who need analysis without knowledge of Python and formulas.
Terms of Use:
- Free access;
- English-language interface;
- Works with Excel and Google Sheets via CSV import.
SheetAI
SheetAI is an artificial intelligence tool embedded in Google Tables.
Opportunities:
- Answers the questions in the boxes;
- Creates structured content, tables, lists;
- Understands context and automatically populates tables.
It'll do: SMM-managers, marketers, content managers. Those who need to create titles, descriptions, formulas.
Terms of Use:
- Paid access, from $20/month;
- English interface;
- Only works with Google Sheets.
Rows
Rows is an online spreadsheet creation platform with built-in artificial intelligence.
Opportunities:
- Query input via "=" in natural language;
- Forecasting data to solve and identify trends;
- Search for information through external sources;
- Extract information through tables and PDF files.
It'll do: marketing analysts, product managers, financiers. Those who need to create dashboards, automate reports, perform advanced data analysis.
Terms of Use:
- Free access with limited requests; paid version from $8/month;
- English-language interface;
- Supports importing CSV, XLS, PDF and data from Google Sheets.
Deepsheet
Deepsheet is an online spreadsheet analysis service with built-in AI chat. Upload CSV, XLSX, TSV or JSON data and "chat" with it in natural language.
Opportunities:
- Visualizes the data;
- Predicts and identifies trends;
- Performs data processing in Python.
It'll do: marketers, students and freelancers. Those who need simple data analysis and output.
Terms of Use:
- Free access;
- English-language interface;
- Works with Excel and Google Sheets via CSV/XLSX import.
Julius AI
Julius AI is a data analyst with artificial intelligence. Combines Excel functions, code writing with Python, and AI chat to solve questions in natural language.
Opportunities:
- Answers questions on downloaded information;
- Creates a contextual analysis of all tools;
- Visualizes data based on analysis;
- Writes code in Python, SQL, R;
It'll do: analysts, researchers, data science specialists. Those who need to create tabular operations, write code and search for verified information in a "single window".
Terms of Use:
- Free access with limited requests; paid version from $16/month;
- English-language interface;
- Works with Excel and Google Sheets via CSV import.
How to use neural networks for different tasks
Let's consider the example of applying neural networks when working with tables.
Creating a table from scratch. To do this, describe the task in natural language: "Create a table for scheduling posts in your Telegram channel with columns: date, post format, topic, publication status". In response, the neural network will create a ready-made structure that is applicable in your work.
Data completion and categorization. Automated filling of the same type of information (about customers or product, reviews, applications) reduces the time for manual entry and minimizes the assumption of errors.
Analyzing data and plotting graphs. To do this, enter the query in natural language and the service will analyze and make visualization in the form of graphs or histograms.
Interaction of text-based neural networks in spreadsheet manipulation helps prepare content to be filled in. So, ReText.AI. is suitable for generating product descriptions, headlines for advertising, text variants for A/B testing. After the obtained texts are uploaded to Excel or Google Sheets.
ReText.AI is suitable for paraphrasing similar texts, making them unique or adapting wording for different audience segments.
Neural networks have become indispensable assistants in work and study. It is a tool for quick creation of tables, automatic filling, analysis and visualization of data.
Frequently Asked Questions
Is it possible to completely replace Excel with a neural network?
No. AI are assistants for routine work: creating a structure, selecting formulas, plotting graphs, refining a table. Complex calculations and accurate auditing will require manual input.
Is it safe to upload corporate data to a neural network?
Not always. Most models are trained on downloaded data, which may violate company secrecy. When downloading, anonymize the information or use paid versions that guarantee confidentiality.
Do these neural networks work with large tables?
Depends on the online service. ChatCSV and SheetAI are set up to work with small and medium volumes. And Rows and Julius AI are suitable for large databases and complex analytics.
Check the limitations of the service before uploading files.