📄 PDF to CSV

Convert PDF to CSV — Free Online Converter

Extract structured table data from any PDF and download it as a clean CSV file. Import into Excel, Google Sheets, Python, or databases — in under 30 seconds. No account needed.

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PDF to CSV in Seconds

AI extracts all tables from your PDF into clean, properly formatted CSV files with correct quoting and UTF-8 encoding. Ready to import anywhere.

Convert to CSV Now →

Free · No signup · Proper CSV with UTF-8 BOM

Where Can You Use the CSV?

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Microsoft Excel
Open directly or import via Data → From Text/CSV
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Google Sheets
File → Import → Upload → select comma separator
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Python / pandas
pd.read_csv() — ready for data analysis instantly
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Power BI / Tableau
Get Data → CSV → load into your dashboard
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SQL Databases
Import CSV with LOAD DATA or any DB import tool
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LibreOffice Calc
Open directly — full CSV support built in

Proper CSV Formatting

Values containing commas, quotes, or newlines are correctly wrapped in double-quotes. UTF-8 BOM included so Excel opens the file without character encoding issues.

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AI-Powered Accuracy

Claude AI understands table structure semantically — not just whitespace. Handles complex headers, multi-column layouts, and irregular spacing that trip up rule-based tools.

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Multiple Tables

If your PDF has multiple tables, each gets its own CSV download button. No need to run the tool multiple times — all tables are extracted in one pass.

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Frequently Asked Questions — PDF to CSV

What is a CSV file and why use it?

CSV (Comma-Separated Values) is a plain text format for tabular data where each row is a new line and columns are separated by commas. It is the most universally supported data format — every spreadsheet app, database, and data analysis tool can read it. Python pandas loads CSV with one line of code. SQL databases import it with built-in tools. Power BI and Tableau connect to CSV natively. For raw data portability, CSV is the best choice.

Does the CSV include all rows from the PDF?

Yes. The browser table preview shows only the first 50 rows for performance, but the CSV download contains every row extracted from the table — there is no row limit on the download. Large tables with hundreds or thousands of rows are fully included.

Why choose CSV over Excel (.xlsx)?

Choose CSV when you need maximum compatibility — for database imports, Python/pandas analysis, BI tools, or any non-Microsoft environment. Choose Excel when you want formatting (bold headers, column widths, formulas) or when you're sharing with Excel users who expect an .xlsx file. PDFTash offers both — you can download the same table in either format.

Will special characters and Unicode work in the CSV?

Yes. PDFTash CSV files include a UTF-8 BOM (Byte Order Mark) which signals to Excel and other applications that the file is UTF-8 encoded. This ensures Arabic, Chinese, Bengali, and other non-Latin characters display correctly when you open the file — no garbled text.

Can I import the CSV into a SQL database?

Yes. For MySQL: use LOAD DATA INFILE. For PostgreSQL: use COPY table FROM '/path/file.csv' CSV HEADER. For SQLite: use the .import command. Most database GUI tools (TablePlus, DBeaver, pgAdmin) also have CSV import built in. Just make sure to match the column count and data types to your table schema.