Totsum
Totsum is a data‑analysis assistant that lets users ask questions in plain language and receive clear, readable answers.
About this tool
Totsum bridges the gap between raw data and insight by allowing anyone to type a natural‑language question and receive a concise, readable response. The system interprets the query, runs the appropriate analysis, and returns results that are easy to understand without requiring programming skills. It also offers a follow‑up reporting feature that expands on initial answers, helping users dig deeper into their data.
Beyond simple queries, Totsum can ingest common data formats such as CSV, Excel, JSON, Parquet, and DuckDB. Once a file is uploaded, the platform can generate visual charts, explore the dataset locally for richer context, and validate the relevance of user questions by producing expert‑curated shortlists. This combination of natural language interaction and file‑based analysis makes the tool suitable for both casual users and data‑savvy professionals.
What you can do
Plain‑Language Query Engine
Users type questions in everyday language; the AI interprets intent, runs the necessary analysis, and returns answers in a readable format that can be directly shared or acted upon.
Data File Visualization
When a CSV, Excel, JSON, Parquet, or DuckDB file is provided, Totsum automatically creates appropriate charts, giving a visual snapshot of the underlying information without manual chart design.
Expert Query Validation
The system reviews user‑submitted questions, compares them against the data, and produces a short, expert‑curated list of the most relevant queries, helping users focus on actionable insights.
Who is it for?
- A marketing analyst uploads a weekly sales CSV and asks, “Which product categories grew the most this month?” Totsum returns a concise answer and a bar chart highlighting growth rates.
- A researcher working with a large Parquet dataset asks, “What are the top five correlations between variables X and Y?” The platform validates the request, shortlists the most statistically significant relationships, and presents them in a readable summary.
- An operations manager needs a quick visual of inventory levels stored in an Excel workbook. By selecting the file and requesting a “stock overview chart,” Totsum generates a line chart that tracks inventory trends over time.
Before you choose
How does Totsum handle data privacy and storage for uploaded files, especially when dealing with sensitive information?
What limits, if any, exist on the size or complexity of data files that can be processed for chart generation or local exploration?
Frequently asked questions
Can Totsum work with multiple data sources in a single session?
Yes, the platform accepts CSV, Excel, JSON, Parquet, and DuckDB files, allowing users to load several datasets and ask combined questions that draw from all uploaded sources.
What type of charts does Totsum generate from uploaded files?
The system automatically selects chart types that best represent the data, such as bar, line, or pie charts, based on the structure and content of the file, without requiring manual configuration.
Is there a way to refine the shortlists produced during query validation?
The expert validation feature returns a concise list of the most relevant queries; users can request follow‑up clarification or ask the system to prioritize different aspects of the data for a more tailored shortlist.
Check the official website for current features, pricing, and terms.
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