Extract tables from any PDF and download as structured JSON or CSV — completely free, no upload required.
Need this in a production workflow?
Use one-time API credits for automation, or Max for larger files, background jobs, batches, and PDF audio.
How It Works
Step 1: Upload Your PDF
Load bank statements, invoices, or data tables. Files stay in the browser — critical for regulated data.
Step 2: Detect Tables
Heuristics locate grid-like regions; each table becomes rows you can inspect before export.
Step 3: Download JSON or CSV
Export structured rows for pandas, SQL loaders, or BI tools — no need to email PDFs to a “magic” API.
Why Use This Tool
- Turn “picture tables” into actual rows without a shady upload-to-excel service
- JSON arrays map cleanly to ETL scripts; CSV drops straight into spreadsheets
- Ideal for analysts who cannot exfiltrate customer PDFs to the public internet
- Combine with OCR PDF when the table is inside a scan
Common Use Cases
Automate month-end statement reconciliation, normalize vendor invoice lines for ERP import, and pull survey PDF exports into research databases. Data journalists convert FOIA drops into analysable CSVs.
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Frequently asked questions
How do I extract a table from a PDF to CSV?
Upload your PDF, wait for table detection, then click "Download CSV" next to any table. All processing is done locally in your browser — nothing is uploaded.
What is the JSON format for extracted tables?
Each table is exported as a JSON array of objects where keys come from the header row. You can also download all tables together in a single JSON file.
Can it handle PDFs with multiple tables?
Yes. The tool detects each table separately and lists them individually. Download each table as CSV or JSON, or download all as a combined JSON file.
Does it work on scanned PDFs?
No — this tool works on text-based PDFs. For scanned PDFs, use the OCR tool first to convert image text to selectable text, then use this tool.
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