Multi-column reports, nested tables, scanned documents—upload any PDF and get clean spreadsheet rows back. No templates. No manual column mapping.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We pull financial data from 200-page annual reports with tables split across columns and pages. This is the first tool that reconstructed them correctly without manual cleanup.”
“Our compliance team receives bank statements as scanned PDFs with no text layer. We used to retype every line. Now we upload and get a spreadsheet in seconds.”
“I batch-process 300 vendor PDFs a month. The old workflow was copy-paste from each PDF into Excel. Now I upload the whole folder and export one consolidated file.”
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
PDF data extraction is the process of reading tables, fields, and structured content from PDF files and converting them into formats you can actually work with—Excel spreadsheets, CSV files, or JSON for API consumption. The challenge is that PDFs were designed for visual presentation, not data interchange, so the underlying file structure often has no concept of rows, columns, or field boundaries.
Simple PDFs with a single table and clear headers are straightforward for most tools. The difficulty escalates with real-world documents: multi-column layouts where two tables sit side by side, nested tables with sub-totals within sections, tables that span page breaks, and merged cells that disrupt column alignment. Many PDF extractors produce garbled output on these layouts because they rely on the text-layer character positions rather than visual structure.
AI-powered extraction takes a different approach by analyzing the visual layout of each page the way a human reader would. It identifies table boundaries, column headers, and row groupings from the rendered page image, then reconstructs the data structure. Lido uses this visual approach to handle complex PDF layouts including scanned documents that have no text layer at all, processing OCR and table extraction in a single pass.
For teams that process PDFs at scale—financial analysts pulling data from quarterly reports, procurement teams consolidating vendor price lists, compliance officers reviewing bank statements—the difference between a tool that handles complex layouts and one that does not is the difference between automated processing and hours of manual copy-paste cleanup.
AI-powered PDF extractors analyze the visual structure of each page rather than relying on the text layer. Multi-column layouts, side-by-side tables, and nested sub-tables are identified by their visual boundaries. Columns and rows are preserved accurately even when the PDF has no embedded table markup.
Yes. Scanned PDFs require OCR before extraction. AI-based PDF extractors perform OCR and data extraction in a single pass, reading the visual content of each page without needing a separate preprocessing step. Lido handles both native and scanned PDFs with the same engine.
AI extraction works on virtually any PDF type including financial statements, bank reports, tax documents, purchase orders, invoices, medical records, insurance forms, government filings, and research papers. The AI reads layout and context, so it handles both standardized and free-form layouts.
Batch processing lets you upload a folder of PDFs and extract data from all of them into a single output file. Lido supports batch uploads through drag-and-drop, cloud drive connections, and email auto-forwarding. All extracted data is consolidated into one spreadsheet.
Lido offers 50 free pages to test PDF extraction. The Standard plan starts at $29 per month for 100 pages. Scale plans start at $7,000 per year for up to 42,000 pages. Enterprise pricing is available for organizations needing custom integrations or compliance certifications.
Start free with 50 pages. Upgrade when you’re ready.
Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine