STRING EX
Turn spreadsheets into dashboards in seconds.
What is STRING EX?
STRING EX turns Excel and CSV files into clean dashboards with KPIs, charts, filters, and export-ready visuals. Instead of wrestling with formulas, formatting, and clunky spreadsheet reports, users can upload their data and quickly understand what matters. Built for operators, finance teams, founders, and anyone who needs business insights without becoming a BI expert.
- Spreadsheets become messy, fragile, and hard to present.
- Teams waste hours building reports manually in Excel.
- BI tools are often too heavy, expensive, or slow to set up.
- Important KPIs get buried inside rows, tabs, and formulas.
- Upload an Excel or CSV file and let STRING EX read the data.
- Generate dashboards with KPIs, charts, and filters automatically.
- Customize visuals without needing formulas or BI knowledge.
- Export clean reports and visuals for meetings, clients, or teams.
Key Features
Spreadsheet upload
CSV import
Excel import
Automatic dashboards
KPI cards
Interactive charts
Data filters
Dashboard exports
PDF reports
AI data summaries
Decision metrics
No-code analytics
Integrations
PromptEditor
Markdown Sidebar for AI Prompts
Reviews
Sign in to leave a review.
Blen The statistician★★★★★5.0As a statistician the idea is appreciated as time saving and simplicity
From csv to this view with clearness visuals is helpful and I'm supporting this as there is huge potential from the founder to help even more deeper in much depth useful for analysis interpretation to analysts and statisticians
It's use for variety of users not just professional analysts as it's way of showing the visualization is pretty neat
Not much for now as it's good for this level if people who used this focus on specifity but can be more included with time for more features for csv files that need to be data cleaned hence for this visuals it's a simple representation only.thanks !
Questions & Answers
Have a question?
Hello fam🤗 .do you have plans for including statisticians in to the founding team who would like to further take this and do more analysis in advanced version hence we study about data it would be good to include more terms for better work on it like adding the data cleaning part ?