Drag a PDF here or click to select
Maximum 10MB · Up to 50 pages · .pdf only
Upload a PDF and get a ZIP file with one CSV per table — in seconds.
No software to install. No account required for your first conversion.
Drag a PDF here or click to select
Maximum 10MB · Up to 50 pages · .pdf only
CSV (Comma-Separated Values) is the most universally compatible data format in use today. Almost every database, business intelligence tool, programming language, and data platform can read a CSV file without any special configuration. When you have data trapped in a PDF — financial statements, research tables, price lists, inventory exports — converting it to CSV is often the fastest path to working with that data programmatically.
Our PDF to CSV converter extracts every table from your uploaded PDF and saves each one as a separate CSV file. All the CSV files are bundled into a single ZIP archive, which you download in one click. You can then open any individual CSV in Excel, import it directly into a database, or load it with Python's pandas library for analysis.
Excel is a powerful tool, but there are many situations where CSV is the better choice:
pandas.read_csv() is two lines of code. No extra dependencies, no version compatibility issues, and it works natively in any Python environment.The conversion process uses pdfplumber, a Python library that reads the internal structure of PDF files rather than rendering them as images. Here is what happens when you upload a PDF:
The entire process runs on our server and typically completes in under ten seconds for a standard business document.
This tool works with digital PDFs — files that were created electronically. The easiest way to check is to open your PDF and try clicking on a word. If you can select individual words, it is a digital PDF that will convert accurately. Common digital PDFs include:
Scanned PDFs — documents that were printed on paper and then photographed or scanned — store pages as images rather than text. These require OCR (Optical Character Recognition) to extract data, which this tool does not support.
Once you have downloaded the ZIP file, you can use the CSV files in many ways:
Unzip the archive and open any CSV file by double-clicking it in Windows or macOS. Excel will open it automatically. In Google Sheets, use File → Import → Upload to bring in the CSV data. Tip: if numbers are appearing as text, select the column, go to Data → Text to Columns, and choose the appropriate format.
Most databases have a built-in CSV import utility. In PostgreSQL, the COPY command imports a CSV directly: COPY table_name FROM '/path/to/file.csv' DELIMITER ',' CSV HEADER;. In MySQL, use LOAD DATA INFILE. Most graphical tools like DBeaver, TablePlus, and pgAdmin have point-and-click CSV import workflows.
After unzipping, load any CSV file with two lines of Python:
import pandas as pd
df = pd.read_csv('page1.csv')
print(df.head())From there you can filter, aggregate, merge with other datasets, and export to any format pandas supports.
One CSV file per detected table. If your PDF has three pages and each page has two tables, you will receive a ZIP with six CSV files. Pages without tables but with structured text will also produce a CSV file with the extracted text rows.
Yes. After unzipping the archive, double-click any .csv file and it will open in Excel. For the best result, use Excel's import wizard (Data → From Text/CSV) so you can specify the delimiter and data types before importing.
All CSV files are UTF-8 encoded, which supports international characters and special symbols. Most modern tools detect encoding automatically. If you see garbled characters in older versions of Excel, open the file using the import wizard and select UTF-8 as the encoding.
Your uploaded PDF is processed on our server and deleted immediately after the ZIP is sent to your browser. We do not store any copy of your files and the connection is SSL encrypted. See our Privacy Policy for full details.
Choose CSV when your next step involves a database, a programming language, or a data pipeline. Choose Excel when you plan to work with the data in a spreadsheet immediately — adding formulas, creating charts, or sharing with non-technical colleagues. Both formats are extracted from the same source data, so the content is identical.
Looking for a different output format? Try our other free converters: