AI Data Analysis: Chat with Your Spreadsheets

Turn Sales Reports, Financial Models, Inventory Data
Into Instant Answers

Stop building pivot tables and waiting on analysts. Upload your Excel or CSV files and ask questions in plain English — get answers with charts in seconds.

Your Data Has Answers. Getting to Them Shouldn't Take Hours.

Every analyst knows the feeling: you need one number from a spreadsheet that has 50,000 rows. The usual path is VLOOKUP, or a pivot table, or a request to the data team — and by the time the answer arrives, the meeting has already happened.

ParseSphere changes that. Upload your file, ask your question, get your answer. No formula syntax. No SQL. No waiting.

How It Works

1

Upload your spreadsheet

Drop in an Excel file, CSV, or Parquet dataset. ParseSphere ingests it instantly — no size limits on row count, no reformatting required.
2

Ask in plain English

Type questions the way you'd ask a colleague: 'What's the total revenue by region for Q3?' or 'Which customers haven't placed an order in 90 days?' No SQL syntax needed.
3

Get answers with charts and calculations

ParseSphere generates and runs the SQL automatically, then returns your answer with charts, tables, or a plain number — whatever fits the question best.
4

See exactly where the answer came from

Every result includes the SQL query that produced it and cites the specific rows or cells used. No black boxes, no guessing.

What You Can Do With It

Financial modeling and reporting

Upload a financial model or quarterly report CSV. Ask questions like "What's EBITDA margin by business unit?" without touching the spreadsheet. Pair it with your PDF annual report in the same workspace and ask cross-document questions.

Sales performance analysis

Track pipeline, revenue, and rep performance across large datasets. Ask natural-language queries about trends, outliers, and forecasts — no analyst required for routine questions.

Inventory and operations

Monitor stock levels, supplier performance, and fulfillment rates. Paste questions like "Which SKUs have been out of stock for more than 7 days?" and get an immediate answer.

HR and workforce data

Combine job descriptions with CSV candidate tracking data. Ask ParseSphere to filter, rank, or summarize candidate data alongside resume documents — all in one workspace.

Any Format. Every Question.

ParseSphere handles Excel (.xlsx, .xls), CSV, and Parquet files for tabular analysis. You can also upload PDFs, Word documents, images, and PowerPoint files into the same workspace — and ask questions that span all of them at once. This is the key difference from tools that handle spreadsheets or documents, but not both.

The AI data analysis tool translates your question into a query automatically, runs it against your data, and returns a verified answer. No hallucinations. Every number traces back to a specific row in your data.

About This Feature

ParseSphere is an AI data analysis tool and AI data analysis software that lets you chat with your Excel and CSV files using plain English. Upload any tabular dataset, ask questions, and get answers with auto-generated charts and source citations — no SQL knowledge required. For teams that work with both structured data and unstructured documents, ParseSphere combines spreadsheet analysis and document Q&A in a single workspace.


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Common Questions

Answers about AI spreadsheet and data analysis