Is this viewer free to use?

Yes, this Excel viewer is completely free to use with no limits. View and analyze as many XLSX files as you need, with no file size restrictions or waiting periods.

All file processing happens entirely in your browser. Your data never leaves your device and is not uploaded to our servers, ensuring complete privacy and security.

What is the file size limit?

There are no file size limits. View and analyze XLSX files of any size. Our browser-based viewer is optimized for performance even with large datasets.

Do I need to create an account?

No account required for viewing files. Simply upload your file and start viewing. Creating a free account unlocks additional features like saving files to your workspace.

Yes! You can edit data cells directly in the viewer. Modify values, sort columns, filter rows, and download your edited XLSX file.

Excel Viewer and Editor

Open, view, and edit Excel files (.xlsx, .xls) with our interactive viewer and editor. Convert to CSV or other formats for advanced analysis and visualization.

Format

Click anywhere to select a fileor drag and drop a file here

Accepts Excel file (.xlsx)

Trusted by over 60,000 every month

Excel Viewer Features

Edit data cells

Modify values directly in your Excel files and download the updated file

Formula support

View and edit Excel formulas with cached values

Interactive data grid

View your data in a structured, easy-to-read format with Excel-like interface

Smart data understanding

Convert to table format for AI analysis of patterns and relationships in your Excel data

Lightning-fast performance

Open and analyze even large Excel files instantly

Sort functionality

Use "View as Table" to arrange data by any column in ascending or descending order

Advanced filtering

Use "View as Table" to filter rows based on multiple column values and conditions

Aggregation capabilities

Use "View as Table" to perform sum, average, count and other calculations on your data

AI-powered analysis

Use "View as Table" to ask questions about your Excel data in plain English and get instant insights

How to view and edit Excel files online

Upload your Excel file (.xlsx or .xls) by clicking the upload button or dragging and dropping
View your data in an interactive spreadsheet with full formula support and formatting
Navigate between multiple sheets using the sheet tabs at the bottom of the viewer
Edit cells directly by clicking on them - changes are tracked and can be exported
Click "View as Table" to unlock advanced features: AI chat, filtering, sorting, and aggregations
Use the AI assistant to ask questions about your data in plain English and get instant insights
Apply filters and sorting to find specific data or organize your spreadsheet
Download the modified Excel file, or export to CSV, JSON, or Parquet formats

How to view Excel files in Python

Here are three effective ways to view Excel files in Python using different libraries. Each approach has its own advantages depending on your specific needs and file sizes.

Viewing Excel files with Pandas

Pandas provides a straightforward approach for viewing files and works well for most common data tasks:

First, we need to install pandas

pip install pandas

Then we can load and view the xlsx file

import pandas as pd
df = pd.read_excel('path/to/file.xlsx')
print(df.head())

Viewing Excel files with DuckDB

DuckDB is an in-process SQL OLAP database that's perfect for larger files and analytical workloads:

DuckDB supports Excel files directly through the excel extension:

pip install duckdb

Query Excel files directly with DuckDB:

import duckdb
# Install and load the excel extension
conn = duckdb.connect()
conn.execute("INSTALL excel")
conn.execute("LOAD excel")
# Query Excel file directly
result = conn.execute("SELECT * FROM 'path/to/file.xlsx' LIMIT 10").fetchdf()
print(result)

For more control, use the read_xlsx function:

# Read specific sheet with options
result = conn.execute("SELECT * FROM read_xlsx('path/to/file.xlsx', header=true, sheet='Sheet1') LIMIT 10").fetchdf()
print(result)

Viewing Excel files with ClickHouse

ClickHouse is a high-performance column-oriented database system that's excellent for large-scale data processing:

ClickHouse doesn't support Excel files directly. First convert to CSV using pandas:

pip install pandas clickhouse-connect

Convert Excel to CSV, then load into ClickHouse:

import pandas as pd
import clickhouse_connect
# Convert Excel to CSV first
df = pd.read_excel('path/to/file.xlsx')
df.to_csv('temp_file.csv', index=False)
# Now query with ClickHouse
client = clickhouse_connect.get_client(host='localhost', port=8123)
query = "SELECT * FROM file('temp_file.csv') LIMIT 10"
result = client.query(query).result_set
print(result)

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