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Privacy-first PDF extraction
Editorial-grade extraction experience

Extract the tables you need.Leave the visual noise behind.

Turn PDF bank statements, invoices, and operating reports into clean, structured data with a calmer workflow designed for accuracy and trust.

Included
Works with statements, invoices, and tabular reports
Included
Memory-only processing by default
Included
Exports to CSV and JSON in one flow
Free registration improves the workflow
10x daily limitsSaved usage contextPrivacy-aware
Upload PDF
Review extraction
Export structured data
Primary workspace

Upload a PDF, review extracted tables, and export the structured result.

Memory-only processingCSV / JSON export
Upload workspace

Drop in a PDF and move directly into review.

The first screen is built around one decisive action: getting from document to structured output with less visual noise.

Extract Tables from PDF

PDF files up to 3MB
No registration required
No data stored

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Proof of output

Show the product, not just the promise.

PDFExtractorAI is strongest when a user can immediately see how a static document becomes structured rows ready for review and export.

Source document

Statements, invoices, and reports keep their original structure but lose the manual copy-paste work.

Structured extraction

Detected tables are surfaced as editable rows so you can review before exporting.

Useful output

Download CSV or JSON directly into finance, spreadsheet, or internal tooling workflows.

Memory-only processing stays part of the proof story
Sample PDF
April statement3 pages
Transaction table
Supplier totals
Ending balance summary
Extracted result
CSV / JSON ready
DateDescriptionAmount
03 AprInvoice 48211,240.00
05 AprCloud hosting-214.90
08 AprCard settlement3,880.00
Detected 3 tablesEditable cellsConfidence reviewed
Use cases

Explore the workflows people actually search for.

These pages explain where PDFExtractorAI fits best: extracting bank statements, invoice tables, and structured JSON from PDF documents.

Browse all use cases

Bank statement extraction

Turn PDF bank statements into reviewable rows for reconciliation, finance ops, and reporting.

Open use case

Invoice table extraction

Capture line items, totals, and supplier details from invoice PDFs without manual copy-paste.

Open use case

PDF tables to JSON

Convert extracted tables into structured JSON for automations, APIs, and internal tools.

Open use case
Plans and limits

Start free, then scale the workflow when your document volume grows.

Compare anonymous usage, free registration, and the premium path without changing how the core extraction flow works.

View pricing and plans
Capabilities

A document tool first, not a loud landing page disguised as one.

The product focuses on trustworthy extraction, clearer export paths, and a quieter interface that makes the actual work feel faster.

AI-first table extraction

Detects tabular data in PDFs and shapes it into usable rows without forcing you through a bulky workflow.

Export formats that matter

Move directly into CSV or JSON so the output is ready for spreadsheets, scripts, and downstream review.

Privacy-aware by design

Built around memory-only processing, GDPR-aware controls, and a calmer presentation of trust signals.

Why it feels different

Calm, deliberate, practical.

Anonymous access

Start without an account, then register later if you need more capacity.

Progress visibility

Processing states stay readable instead of feeling like a black box.

Built for repetition

Use it for recurring statements, invoices, and reports with less interface friction.