Turn any CSV export into a live interactive dashboard
Upload your data export. Describe the dashboard. Get interactive charts, filters, and scheduled email reports — published on its own URL, in minutes.
No credit card required · Published in minutes
Also works with Excel exports
How it works
Three steps. No BI tool required.
Describe the dashboard
Tell Exepad what you want to track — revenue trend, pipeline conversion, support load, product usage — and who needs to see it.
Attach your CSV export
Upload the file. Exepad reads every column, detects types (numeric, date, category), and suggests charts and filters automatically.
Publish and share
Dashboard is live with a URL. Share with stakeholders, schedule digest emails, or gate behind logins. Re-import anytime to refresh.
Not a data export.
A live, shareable dashboard.
Your CSV becomes a living analytics tool — with interactive charts, filters, scheduled reports, and a URL anyone can visit.
Charts generated from columns
Exepad detects numeric and categorical columns and generates appropriate chart types — bars, lines, KPIs, distributions — with sensible defaults.
Filter, drill, and segment
Any column becomes a filter. Click a chart segment to narrow the whole dashboard. Save frequently-used views per user.
Re-import to refresh data
Upload a new CSV and the dashboard updates — no reconfiguration, no chart rebuilding. Schema changes are detected and surfaced for review.
Scheduled snapshot emails
Send dashboard snapshots or filtered views on a schedule — Monday-morning digests, monthly board reports, threshold alerts.
Its own data store
The dashboard is independent of the original CSV — edit values directly in the app, wire to a live data source, or let it sit on the import.
Mobile-ready charts
Dashboard reflows for phones and tablets. Charts resize, tables become scrollable, filters stack into a mobile-friendly menu.
Built for data exports
Exepad reads real-world CSVs with all their messiness — not just the textbook format.
Column types inferred from data
Numeric columns become measures, categorical columns become dimensions, date columns become time axes. All auto-detected from sample rows.
Date columns become time axes
Date-like columns are parsed into time-series axes with sensible default granularity (day / week / month) and a period selector.
Category columns become filters
Columns with repeating values (status, region, plan tier) become filter facets — clickable and URL-addressable.
Handles messy real-world CSVs
Mixed delimiters, quoted strings with newlines, locale-specific number formats — Exepad handles what actually comes out of BI tools, not the spec.
CSV export vs. Exepad dashboard
A CSV sits in an inbox. A dashboard sits on a URL, updates with your data, and lets anyone with access slice and drill — without opening anything.
Everything a CSV export can't do
A CSV is a dump. A dashboard is a tool. Every conversion gives you charts, filters, alerts, and sharing the export never offered.
From CSV export to live dashboard
in one sitting
Your columns define the dimensions. Your numeric columns define the measures. Exepad picks the right charts and wires the filters.
Columns become chart axes
Numeric columns become Y-axes; categorical columns become X-axes or filters; date columns become time axes — all auto-detected.
Rows become data points
Every row is a data point on the chart. Millions of rows render smoothly via server-side aggregation — no client-side slowness.
Re-imports become fresh data
Upload a revised CSV and the dashboard updates. Schema changes (new columns, renamed fields) are detected and surfaced for your review before applying.
Frequently asked — CSV to Dashboard
Ready to visualise?
Upload your CSV. Describe the dashboard. Get live, shareable analytics in minutes.