Pull tables, fields, and line items from invoices, bank statements, receipts, and reports. AI reads any PDF layout without templates or manual setup.
No templates. No training data. No manual configuration.
Upload invoices, bank statements, receipts, reports, or any other PDF. Drag and drop one file or hundreds. The AI handles any layout, language, or scan quality.
The AI reads each PDF like a person would, identifying tables, headers, line items, dates, amounts, and totals by context. No templates to configure, no extraction zones to define.
Get your structured data in Excel, Google Sheets, CSV, or JSON. Every field lands in the right column. Use AI columns to define custom extraction rules in plain English.
Drop any invoice, bank statement, receipt, or report below and get structured spreadsheet data back immediately.
AI handles any PDF type, any layout, any volume.
Invoices, bank statements, receipts, purchase orders, financial reports, tax forms, shipping documents, and insurance claims. The AI interprets fields by context and layout, not fixed rules. Works on PDFs from hundreds of different sources.
Traditional tools require you to configure extraction zones for each PDF layout. PDFExtraction.ai uses layout-agnostic AI that reads document structure automatically. When vendors change their format, the AI adapts without reconfiguration.
The AI identifies tables within PDFs and extracts each row as a structured record. Line items from invoices, transaction rows from bank statements, and itemized entries from reports all land in organized spreadsheet columns.
Upload hundreds of PDFs at once. The AI processes them simultaneously and outputs all extracted data into a single spreadsheet. Connect an email inbox or cloud folder for automatic processing as new PDFs arrive.
Export extracted PDF data to Excel (.xlsx), Google Sheets, CSV, JSON, or XML. REST API returns structured JSON with confidence scores. Direct ERP integration sends data into accounting systems automatically.
SOC 2 Type 2 certified and HIPAA compliant. AES-256 encryption at rest, TLS 1.2+ in transit. PDFs automatically deleted within 24 hours. Your documents are never used to train AI models.
“We process invoices from over 400 suppliers, all different PDF layouts. Our AP team used to spend three days a week on manual data entry. With AI extraction, the data lands in our spreadsheet automatically and we just review the flagged items.”
“Extracting transaction data from bank statement PDFs was our biggest bottleneck during monthly reconciliation. Now we upload the batch and have structured data in Excel within minutes. The AI handles every bank format without any template setup.”
“The fact that the AI handles scanned PDFs, digital PDFs, and even photos without any template configuration is what sold us. We eliminated 90% of manual data entry in the first month and the accuracy is consistently above 97%.”
“Our finance team processes 3,000+ vendor invoice PDFs every month. We used to have four people copying data into Excel by hand. Now the AI extracts everything automatically and we just review exceptions. We went from three days of data entry to three hours of review.”
Finance teams processing high-volume PDFs have eliminated manual data entry after switching to AI-powered extraction that handles any layout without templates.
PDFs are the universal format for business documents. Invoices arrive as PDFs. Banks issue statements as PDFs. Insurance companies, logistics providers, government agencies, and suppliers all generate PDFs. The data inside those files — amounts, dates, line items, account numbers, vendor details — needs to end up in spreadsheets, ERPs, and databases. But PDFs were designed for printing, not data extraction. The format preserves visual layout while discarding the underlying data structure, making automated extraction fundamentally difficult.
The first generation of PDF extraction tools used templates and rules. You would define extraction zones on a sample PDF, telling the software exactly where on the page to find the invoice number, the date, the total, and each line item. This worked if every PDF followed the same layout. But in practice, invoices come from hundreds of different vendors with different formats. Bank statements vary by institution. Tax forms change year to year. Every new layout required a new template, and every format change broke existing ones. The result was constant template maintenance and a fragile system that could not scale.
AI-first PDF extraction takes a fundamentally different approach. Rather than matching pixel positions or following rigid rules, Lido reads the entire PDF the way a person would — interpreting headers, tables, labels, amounts, and relationships between fields. The AI understands that the column labeled "Qty" contains quantities, that the number next to "Invoice Total" is the total amount, and that rows in a table represent individual line items. This contextual understanding works across PDF layouts because the AI interprets meaning, not fixed positions on a page.
For a deeper look at how modern extraction technology works, see What is data extraction on the Lido blog. The article covers the technical differences between rule-based, template-based, and AI-powered approaches, and explains why layout-agnostic AI has become the standard for high-volume PDF processing.
The practical result is that teams processing invoices, bank statements, receipts, or any other PDF type can upload files in batch and get clean, structured spreadsheet data back. Each field lands in the correct column with confidence scores for validation. High-confidence extractions flow through automatically while flagged items get human review. Whether you process 50 PDFs per month or 50,000, the AI handles any layout from any source without templates, training data, or manual configuration.
Audited security controls verified over a sustained period.
Bank-grade encryption at rest. TLS 1.2+ in transit.
BAA available for healthcare and financial document processing.
PDF extraction AI uses artificial intelligence to read the visual structure of a PDF document and extract structured data — tables, fields, amounts, dates, line items — without templates or manual configuration. Unlike rule-based tools that rely on fixed extraction zones, AI interprets document layout by context, the same way a human reader would. This means it works on any PDF format from any source, including invoices, bank statements, receipts, tax forms, and financial reports.
AI-powered PDF extraction achieves 95–99% accuracy on clean digital PDFs and 90–98% on scanned documents with variable quality. The AI reads each PDF the way a person would, interpreting tables, headers, and fields by their position and labels rather than relying on pixel-level pattern matching. Extracted fields include confidence scores so you can review low-confidence results while high-confidence data flows through automatically.
AI extraction handles virtually any PDF type — invoices, bank statements, receipts, purchase orders, financial reports, tax forms (W-2, 1099), shipping documents, insurance claims, and medical records. It works on native digital PDFs, scanned documents, image-based PDFs, and even photographed pages. The AI interprets document structure by context, not fixed templates, so it adapts to layouts from hundreds of different vendors and institutions automatically.
No. Template-based PDF extraction tools require you to define extraction zones for each document layout, and those templates break whenever a vendor changes their format. PDFExtraction.ai uses layout-agnostic AI that understands document structure automatically. It identifies fields like invoice numbers, dates, amounts, and line items by context and meaning, so it works on any PDF layout without templates, training data, or per-document configuration.
Yes. Upload hundreds of PDFs at once and the AI processes them simultaneously, outputting all extracted data into a single Excel or Google Sheets file. For ongoing workflows, connect an email inbox or cloud drive folder so new PDFs are processed automatically as they arrive. Batch processing handles mixed document types — invoices, statements, and receipts in the same upload — without any configuration.
Yes. PDFExtraction.ai is powered by Lido, which is SOC 2 Type 2 certified and HIPAA compliant, with AES-256 encryption at rest and TLS 1.2+ in transit. All uploaded PDFs are automatically deleted within 24 hours of processing. Your documents are never used to train AI models. A signed Business Associate Agreement is available for organizations processing healthcare or financial documents.
Extracted data can be exported to Excel (.xlsx), Google Sheets, CSV, JSON, and XML. For developers building automated pipelines, a REST API returns structured JSON with field-level confidence scores. Direct integration with ERP and accounting systems means extracted PDF data flows into your existing workflows without manual import steps.
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