AI reads multi-column layouts, nested tables, and irregular formatting that breaks traditional converters. Financial reports, statements, and bulk PDFs—converted accurately.
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 needed to extract transaction tables from 2,000 bank statements during a data migration. Every other tool mangled the multi-column layout. This nailed every row and saved us weeks of manual cleanup.”
“Our monthly financial close required manually copying data from 40 PDF reports into spreadsheets. Now it’s automated—PDFs arrive by email, CSV files appear in our shared drive. The process takes minutes instead of days.”
“The nested table handling is exceptional. We process insurance EOBs with grouped procedure codes and sub-line items, and it correctly preserves the hierarchy in the CSV output. Nothing else we tried could do that.”
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 is a presentation format, not a data format. A PDF stores text as positioned characters on a canvas—there are no rows, columns, or cells in the underlying file structure. When you see a neatly formatted table in a PDF, what actually exists is hundreds of individual text fragments placed at specific coordinates. Converting this to CSV requires reconstructing the table structure from scratch, and traditional tools that rely on character positions consistently fail on multi-column layouts, merged cells, and tables that span page breaks.
Financial reports are the most common pain point. A typical quarterly P&L has multi-level column headers, indented row labels, subtotal rows, and percentage columns adjacent to dollar columns. A position-based converter often misaligns columns, merges adjacent values, or splits a single cell across two CSV columns. The result is a CSV file that requires as much manual cleanup as typing the data from scratch would have taken.
AI-powered PDF-to-CSV conversion solves this by reading the document the way a human does—understanding that indented text represents a subcategory, that a bold row is a subtotal, and that adjacent columns are separated by semantic context rather than a fixed pixel gap. Lido uses this approach to process complex PDFs into clean, structured CSV files on the first upload, without requiring layout-specific rules or template configuration.
For teams running bulk conversions—data migrations, monthly statement processing, or regulatory report extraction—the reliability of AI conversion eliminates the post-processing bottleneck entirely. Instead of converting and then spending hours fixing misaligned data, the output is ready for import into your database, ERP, or analysis tool immediately.
Traditional PDF-to-CSV tools rely on text position coordinates to determine column boundaries. This breaks on multi-column layouts, merged cells, nested tables, and documents where text alignment varies between pages. AI-powered conversion reads the document contextually, understanding table structures by meaning rather than pixel position, so it correctly parses layouts that rule-based tools scramble.
AI PDF-to-CSV conversion handles financial reports with multi-level subtotals, bank and credit card statements, insurance EOBs, inventory reports, purchase orders with line items, tax documents, and any PDF containing tabular data. It works on both native digital PDFs and scanned document images without requiring layout-specific templates.
Yes. Bulk PDF-to-CSV conversion is handled through batch upload, cloud drive connection, or email auto-forwarding. Each PDF is processed independently and output as a separate CSV or appended to a single consolidated file. Documents are processed as they arrive, so there is no need to batch and wait.
AI extraction distinguishes between narrative text, headers, footers, and tabular data within the same PDF. It identifies table boundaries, extracts only the structured data into CSV rows, and ignores surrounding text that is not part of the table. This selective extraction produces clean CSV output without the noise that copy-paste or position-based tools include.
Lido outputs CSV with configurable delimiters, encoding options, and header rows. You can also export to Excel or Google Sheets if you need a richer format, or use the JSON output for API integrations. Custom AI columns let you transform extracted values during conversion, such as normalizing date formats or splitting combined name fields.
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