The best AI tools for spreadsheet analysis, judged on what matters
By the Analistable team · Updated · 6 min read
There is no single best AI spreadsheet tool; it depends on where your data lives and who may see it. Copilot in Excel and Gemini in Google Sheets are the natural picks for work inside one file in those suites. ChatGPT and Claude are the most flexible for uploaded files. Analistable suits questions across several files or Google Sheets where rows should stay in the browser. Judge any tool on privacy, multi-file support and whether you can see how the answer was calculated.
Part of our guide: How to answer questions across multiple spreadsheets
The criteria that actually matter
Most reviews rank AI spreadsheet tools by how impressive the demo looks. In practice four questions decide whether a tool is usable for real work:
- Privacy: where do the rows go? Uploaded to a vendor, processed in your existing Microsoft or Google tenancy, or kept on your device?
- Multi-file: can it answer a question that needs two or more files or sheets, or only the one you have open?
- Checkable accuracy: does it show the formula, code or SQL behind the answer so you can verify it?
- Repeatability: can you re-run the same analysis on next month's data without starting over?
Price and licensing matter too, but they change often, so check each vendor's current page rather than trusting any roundup's figures, ours included.
The shortlist
| Tool | Where it runs | Data handling | Multi-file | Shows its working |
|---|---|---|---|---|
| Copilot in Excel | Inside Excel | Microsoft 365 cloud | Open workbook | Formulas |
| Gemini in Google Sheets | Inside Sheets | Google Workspace cloud | Open spreadsheet | Formulas, varies |
| ChatGPT | Chat with uploads | Uploaded to OpenAI | Yes, via uploads | Python code |
| Claude | Chat with uploads | Uploaded to Anthropic | Yes, via uploads | Code or reasoning |
| Analistable | Browser | Rows stay in browser; AI sees schema | Yes, joins tables | SQL |
| Excel Analyze Data | Inside Excel | Microsoft 365 cloud | One range | Suggested charts |
Features in the suite assistants change almost monthly. Treat the table as a description of each tool's approach rather than a feature checklist.
Assistants built into the spreadsheet
Copilot in Excel and Gemini in Google Sheets have the big advantage of living where the data already is. They suggest formulas, build pivot tables and charts, and summarise trends, and their output is ordinary spreadsheet content your colleagues can audit. If your organisation already pays for and has approved the relevant licence, they need no new security review. The trade-off is scope: they reason about the open file, so a question needing several files means combining those files first. We compare Copilot in depth in Copilot in Excel vs Analistable.
Excel's older Analyze Data (formerly Ideas) feature is worth a mention: it is included in many Microsoft 365 versions and proposes charts and summaries for a selected range. It is limited, but it costs nothing extra to try.
General chat assistants
ChatGPT and Claude accept uploaded spreadsheets and can write and run code on them. They are the most flexible tools here: they clean messy layouts, merge files, chart and explain. They are also the ones that move the most data, since the file is uploaded to the vendor. For anything containing personal or confidential data, check your plan's retention and training terms and your company policy. See ChatGPT vs Analistable for a closer look at that trade-off.
Cross-file question tools
A smaller category of tools focuses on asking questions across several sources. Analistable loads Excel files, CSVs, Google Sheets, GA4 and Search Console reports into DuckDB in your browser, sends the AI only the schema, and returns a read-only SQL query plus its result. It does not edit files or produce charts-heavy reports; it answers questions and shows how. That makes it a fit for analysts and operations staff who need “which customers in file A are missing from file B” style answers on data that should not be uploaded.
Worked example: testing a tool before you trust it
Whatever you pick, run a quick test with data where you already know the answer. Take two small files and compute the result by hand first:
| Customer | Segment | Invoices | Invoiced (£) |
|---|---|---|---|
| Alder | SMB | 2 | 1800 |
| Beech | Enterprise | 1 | 12000 |
| Cedar | SMB | 3 | 2700 |
| Dune (not in customer list) | — | 1 | 500 |
| Total | 7 | 17000 |
Ask the tool for “invoiced revenue by segment”. A correct answer gives SMB £4,500 and Enterprise £12,000, and should either mention the £500 invoice for Dune or include an “unknown” group. A tool that reports £16,500 without flagging the missing customer has silently inner-joined; that is not necessarily wrong, but you need to know it happened. This small test reveals more than any feature list.
Common failure modes, whichever tool you use
- Silent inner joins: rows without a match disappear and totals shrink without warning.
- Duplicate keys: a customer listed twice doubles their revenue after a join.
- Text that looks like numbers: IDs stored as text in one file and numbers in the other fail to match (“00123” vs 123).
- Ambiguous dates: 03/04/2026 is 3 April in the UK and 4 March in the US; check how the tool parsed it.
- Confident wording: a fluent explanation is not evidence that the calculation is right.
Good tools make these visible: they show the join, report unmatched rows when asked, and let you inspect the column types they inferred. When comparing tools, ask each the same awkward question about unmatched rows and see which one answers it plainly.
Setup effort and who the tool suits
Suite assistants need a licence and, in some organisations, an admin to switch them on, but no new habits. Chat assistants need nothing beyond an account, which is exactly why IT teams worry about them. Cross-file tools like Analistable need you to connect or load each source once; after that the saved model is reused. Code-first options such as pandas or SQL in a notebook are not “AI tools” but remain the benchmark for control, and many AI tools are simply writing that code for you.
How to choose
- Everything lives in one Excel workbook and you have the licence: Copilot in Excel.
- Everything lives in Google Workspace: Gemini in Sheets, with QUERY across ranges for joins it cannot do.
- Ad hoc exploration of non-sensitive files: ChatGPT or Claude.
- Repeat questions across several files where rows must stay local: Analistable.
- Merging files rather than analysing them: see the best tools to merge Excel files.
For the underlying methods behind all of these, from lookups to SQL joins, see our hub on answering questions across spreadsheets.
Frequently asked questions
- What is the best free AI tool for Excel?
- Excel's built-in Analyze Data feature is included in many Microsoft 365 plans at no extra cost. Free tiers of ChatGPT and Claude also accept uploads, with limits that vary over time.
- Is it safe to upload spreadsheets to AI tools?
- It depends on the data and the tool's terms. For personal or confidential data, use a tool your organisation has approved, or one that keeps rows on your device.
- Can AI tools join two spreadsheets?
- Chat assistants can, by writing code on uploaded files, and cross-file tools like Analistable do it with SQL. Suite assistants generally need the data in one workbook first.
- How do I know if an AI answer is right?
- Look at the formula, code or SQL it used, check row counts before and after any join, and test it first on a small dataset where you know the answer.