Chartt

Chartt is a web app for asking questions of spreadsheet and text files and turning the answers into visualizations and dashboards. It is best suited to analysts, operations leads, and founders who want file-based analysis without SQL or a maintained BI dashboard. Its shareable, source-linked results are useful; the credit caps and AI data processing call for care.

Overview

Upload CSV, XLSX, XLS, or plain-text files, and Chartt infers column types, units, and date ranges. Plain-language questions can produce numbers, explanations, and charts, with answers linked to their source rows or file. That provenance gives users a way to check an answer against the underlying data rather than relying on an unexplained summary.

Charts can be pinned to dashboards, whose layouts refresh when source files update. Users can share links to charts, chats, and dashboards, making the product suited to lightweight recurring reporting as well as one-off exploration. It is a file-centered workflow, not a general-purpose data integration hub.

Key features

Analysis and visualizations

Chartt selects from bars, lines, tables, sparklines, and breakdowns to fit a question. It also surfaces spikes, dips, and unexpected segments with plain-English summaries. These features can help users spot patterns and communicate findings without building each view manually, though they do not remove the need to judge whether the data or interpretation is sound.

Sharing, limits, and data handling

The maker says dashboards stay live as their source files change, and shared results retain links to the source rows or file. New queries pause when monthly credits run out, until the next billing cycle or an upgrade; users with variable analysis needs should account for that interruption.

Chartt says files and database contents are encrypted at rest, data is encrypted in transit, employee access is limited, and dependencies receive regular audits and security updates. Relevant uploaded data may be sent to OpenAI and Google Gemini for analysis, although customer data is not used to train AI models. That processing arrangement may not suit sensitive datasets or organizations with strict data-handling requirements.

Pricing

Chartt has a free plan and paid plans billed annually. The entry price is $7 a month, billed annually at $84/yr.

Free is a useful way to try the workflow, but 100 monthly credits and a single data source make it a constrained option for regular analysis. Starter raises the quota and source limit, and removes the watermark, while keeping exports to PNG and CSV and themes preset. Pro is the first tier with all export types, custom themes, and long-term archiving; its five-source ceiling may still be restrictive for broader work. Max expands the allowance to 35,000 credits and 10 sources, for heavier use, but carries a much higher annual commitment. All tiers are subject to monthly credit limits.

Platforms

Chartt runs on the web. It imports CSV, XLSX, XLS, and plain text, and supports PNG, CSV, and SVG exports; the paid plan descriptions distinguish PNG and CSV on Free and Starter from all export types on Pro and Max.

Who it's for

Chartt is a good fit for people who repeatedly need answers from spreadsheet files and want to share charts or keep a live dashboard without maintaining a conventional BI setup. Free can suit occasional exploration within its small quota; Starter fits modest recurring use, while Pro and Max are aimed at users needing more credits, sources, or richer output options. It is a weaker fit for teams needing many connected sources or those unable to send relevant uploaded data to third-party AI providers.

Pros and cons

• Pros: Plain-language questions produce numbers, explanations, and varied visualizations, reducing the need to assemble each view manually.
• Pros: Answers link to source rows or files, and dashboards refresh with source-file updates, supporting verification and recurring sharing.
• Pros: The free tier allows trying the service with no paid subscription.
• Cons: Queries stop when credits run out, so the monthly quota can interrupt work.
• Cons: Free allows only one data source, and even Max is capped at 10.
• Cons: Relevant data may be processed by OpenAI and Google Gemini, which may rule it out for sensitive material.

Alternatives

Browse AI Data Analysis Tools for more options in this category.

• Quadratic is another freemium option with a free plan and a wider listed platform range, including desktop, mobile, web, API, and self-hosted use; choose it when platform breadth is the priority.
• Julius AI has a free plan with daily credits and a Google Drive connector, plus a $20 a month Plus plan; consider it if that connector or its daily-credit structure better fits your workflow.
• Byaan is free and offers a macOS app under an MIT license, with a self-hosted team version; it is an alternative for readers seeking those deployment or licensing options.
• Kiln offers a free, open-source Python library and a source-available desktop app, with local datasets and git sync; choose it if that local, code-oriented approach fits better.
• ExcelGPT has a free plan and a $19.90 a month Pro plan; compare it if you want another freemium spreadsheet-analysis option.
• Loam offers a free individual plan for one person to upload files and ask grounded questions, with a paid Individual Pro plan at $399 a year; it may suit solo users comparing individual tiers.
• MySheetAI has a free plan with five questions a month, 3 MB uploads, and answers kept for seven days; consider it for very occasional use with smaller files.
• PerSight is another freemium option.

Verdict

Choose Chartt if you want to question spreadsheet files in plain language, inspect source-linked answers, and share charts or live dashboards without setting up a maintained BI workflow. Its strongest case is the combination of traceable answers and recurring, shareable views; look elsewhere if the credit and source caps are too tight, or if sending relevant data to third-party AI providers does not meet your requirements.