Pull tables, fields, and line items from invoices, bank statements, receipts, and reports into Excel or Google Sheets. AI reads any PDF layout without templates or manual setup.
Turn unstructured PDFs into structured, usable data.
Upload one PDF or thousands in bulk. Supports scanned documents, native PDFs, and image-based files from any source.
The AI reads each PDF page contextually, extracting tables, key-value pairs, line items, and embedded text without manual configuration.
Export extracted data as Excel, CSV, or JSON. Every field is mapped to the correct column for immediate use in downstream workflows.
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.
AI identifies tables within PDFs and extracts each row as a structured record. Invoice line items, bank transaction rows, and itemized entries all land in organized spreadsheet columns with correct headers.
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 or coordinates.
Traditional tools require extraction zones for each layout. AI PDF extraction reads document structure automatically. When vendors change their format, the AI adapts without reconfiguration or template maintenance.
Combines OCR with document understanding to read scanned documents, faxed pages, and smartphone photos. Handles poor-quality scans, skewed pages, and faded text with 90–98% accuracy.
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.
Export extracted 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.
“We process invoices from 400+ suppliers, every one a different PDF layout. Before AI extraction, our AP team spent three days a week on manual data entry. Now the data flows into our spreadsheet automatically and we just review flagged items.”
“Extracting transaction data from bank statement PDFs was our biggest bottleneck during monthly close. Now we upload the batch and have structured data in Excel within minutes. Accuracy is consistently above 97%.”
“The AI handles scanned PDFs, digital PDFs, and photos of receipts without any template setup. We reduced manual data entry by about 90% in the first month. The confidence scores make reviewing exceptions fast.”
“Our finance team processes 3,000+ PDF documents every month across invoices, statements, and reports. We used to have four people copying data into Excel by hand. AI extraction handles it automatically now and we just review exceptions.”
Finance teams processing high-volume PDFs have eliminated manual data entry after switching to AI-powered extraction that handles any layout without templates.
Last updated: June 2026
PDFs serve as the default format for business documents worldwide. Invoices arrive as PDFs. Financial institutions deliver statements as PDFs. Insurers, freight carriers, government bodies, and vendors all produce PDFs. The data locked within — dollar amounts, dates, line items, account numbers, supplier details — must ultimately land in spreadsheets, ERP platforms, and databases. Yet the PDF format was engineered for accurate printing, not data interchange. It captures visual layout while stripping away the semantic structure that machines need, making reliable automated extraction inherently challenging.
Copy-paste is usually the first method teams attempt, and it collapses the moment a document contains multi-column tables, merged cells, or line items that wrap across rows. Standard OCR can turn scanned characters into editable text but offers zero insight into what those characters mean or how they relate. A legacy OCR engine might read "Total: $4,287.50" yet cannot tell it apart from a subtotal, a tax figure, or a unit price without supplementary rules. Template-based tools let users define page zones for specific fields, but those templates shatter whenever a vendor alters their invoice design or a document from a new source appears.
AI-powered PDF extraction operates on a completely different model. Rather than matching pixel patterns or relying on templates, Lido reads each PDF as a human would — interpreting headers, deconstructing tables, parsing labels, spotting amounts, and tracing the relationships among fields. It recognizes that a column titled "Qty" holds quantities, that the number adjacent to "Invoice Total" is the aggregate amount, and that each table row represents a distinct line item. This contextual intelligence applies across PDF layouts because the AI grasps meaning instead of memorizing fixed page positions.
The key technical distinction is that AI extraction models analyze the full visual representation of a PDF page, not just the text layer. This means the AI perceives exactly what a human sees — spatial connections between headers and values, table gridlines (or the implied grid in borderless tables), and the hierarchy of headings and sub-headings. For a deeper dive into how today's extraction technology functions, see What is data extraction on the Lido blog.
The practical upshot is that teams processing invoices, bank statements, receipts, or any other PDF category can upload files in bulk and receive clean, structured spreadsheet data back. Every field slots into the correct column with a confidence score for verification. High-confidence extractions pass through untouched while flagged items get routed to a human reviewer. Whether the volume is 50 PDFs per month or 50,000, AI handles every layout from every source with no templates, training data, or manual setup.
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BAA available for healthcare and financial document processing.
AI PDF extraction uses large language models and vision AI to read PDFs contextually — interpreting tables, headers, labels, and fields by meaning rather than relying on fixed templates or pixel coordinates. Unlike traditional OCR or template-based tools, AI reads the full visual structure of a document and understands that a 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 works across any PDF layout because the AI interprets document meaning, not fixed positions on a page.
AI PDF extraction handles invoices, bank statements, receipts, purchase orders, financial reports, tax forms (W-2, 1099, K-1), shipping documents, insurance claims, medical records, and any other structured or semi-structured PDF. It works on native digital PDFs, scanned documents, image-based PDFs, and smartphone photos. The AI adapts to any layout from any source without per-format configuration.
AI PDF extraction achieves 95–99% accuracy on clean digital PDFs and 90–98% on scanned documents depending on scan quality. Every extracted field includes a confidence score so you can auto-approve high-confidence results and route low-confidence extractions for human review. The AI improves over time as it processes more documents within your workflow.
No. Traditional PDF extraction tools require you to define extraction zones for each document layout, and those templates break whenever a vendor changes their format. AI PDF extraction understands document structure automatically — it identifies fields like invoice numbers, dates, amounts, and line items by context and meaning. This works on any PDF layout without templates, training data, or per-document configuration.
Yes. AI PDF extraction combines OCR with document understanding to read text from scanned documents, faxed pages, smartphone photos, and image-based PDFs. It handles poor-quality scans, skewed pages, faded text, and documents with handwritten annotations. Accuracy on scanned PDFs typically ranges from 90–98% depending on scan quality.
Extracted data can be exported to Excel (.xlsx), Google Sheets, CSV, JSON, and XML. A REST API returns structured JSON with field-level confidence scores for developers building automated pipelines. Direct integration with ERP and accounting systems means extracted data flows into your existing workflows without manual import steps.
Yes. Lido 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.
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