ChatCSV lets you upload a spreadsheet and ask questions in plain language, getting instant charts, summaries and analysis.
ChatCSV applies conversational AI to spreadsheets: upload a CSV or connect your data source, then ask questions like “what drove revenue last quarter” and receive answers with generated charts and explanations. The assistant remembers the conversation context, so follow-up questions build on earlier analysis, and it can generate formulas and summaries on request. Sharing features let you publish a chat-based analysis for colleagues. It is one of the simplest entries into AI-assisted data analysis.
Upload a CSV or spreadsheet and ask your first question in plain language. Review the answer and generated chart, then ask follow-ups that build on the conversation context before sharing or exporting the analysis.
ChatCSV is freemium: free accounts can run a limited number of analyses; paid plans expand message limits, file sizes and history.
Business users, students and analysts who want quick answers from spreadsheet data without building pivot tables or charts manually.
Yes. ChatCSV offers a free tier with limited analyses per month; higher limits and larger files require a paid plan.
ChatCSV is a consumer-facing web app and does not currently publish a public developer API.
Compared with BI dashboards, ChatCSV is conversational and disposable — ideal for quick exploratory questions rather than production reporting.
ChatCSV is built for quick exploratory questions rather than governed production reporting. Answers on ambiguous data can mislead — always sanity-check critical numbers against the source.
ChatCSV processes uploads locally in your conversation to answer questions — sensitive or regulated data deserves a careful privacy review first. Answers arrive with generated charts and context-aware follow-ups, making exploratory analysis fast, though critical numbers should still be sanity-checked against the source file.
Yes. Answers come with generated charts and visualizations that you can share with colleagues, which speeds up exploratory analysis considerably. The conversational format means follow-up questions build on earlier results, so you can drill into interesting patterns without rebuilding queries.
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