Extract data from any PDF — invoices, statements, reports, or tables — into Excel or Google Sheets. No templates. No manual setup.
Upload any PDF — invoice, table, report, or statement — and get structured data extracted into spreadsheet columns immediately. No signup required.
No templates. No training data. No per-format setup.
Every source creates PDFs differently. The AI reads the visual structure of each document and extracts fields into organized columns — digital PDFs, scanned documents, invoices, tables, and reports all work without templates or per-format configuration.
Layout-agnostic AI identifies tables, line items, totals, dates, identifiers, and custom fields by reading visual context — not fixed positions. AI columns let you define custom extraction rules in plain English.
Export extracted PDF data directly to Excel or Google Sheets with one click. Download as CSV or JSON for import into any business system. The REST API returns structured JSON for automated pipelines.
“We receive PDFs from over 200 sources every month — invoices, purchase orders, shipping docs, reports. What used to take three staff members now happens automatically. The PDF data extraction paid for itself in the first week.”
Operations teams processing high-volume PDFs across hundreds of formats have reduced manual data entry by 80–90% after switching to AI-powered PDF data extraction.
“We tried three different PDF data extraction tools before finding this one. The others required templates for every document type, which was impractical with 150+ PDF formats. This reads any layout on the first upload with no setup.”
“The accuracy on table extraction is what sets this apart. Our PDFs have complex multi-column tables with subtotals and tax breakdowns, and the PDF data extraction handles them without error. Exports straight to our Excel templates.”
“I forward PDFs from our shared inbox and the extracted data appears in Google Sheets before I finish sorting through email. Cut my daily document processing from four hours to twenty minutes.”
Last updated: June 2026
PDF data extraction is the automated process of capturing structured information from PDF files — think invoices, purchase orders, receipts, bank statements, shipping manifests, and virtually any business document delivered as a PDF. Rather than having someone open each file, locate the relevant values, and manually key them into a spreadsheet or database, data extraction software reads the PDF and returns cleanly labeled, field-level output ready for immediate downstream use.
Traditional OCR converts a scanned PDF into a stream of raw characters while discarding every structural cue in the process. The output is undifferentiated text — nothing signals which value is an invoice number, which is a line total, and which is a vendor name. Template-based extraction fills this gap by mapping defined zones on a known document layout to named fields. It holds up well for consistent formats, but any new layout breaks the mapping instantly. Maintaining templates across a large library of document variants becomes an ever-growing operational burden.
AI-powered PDF data extraction operates on an entirely different principle. Rather than depending on fixed templates or basic character recognition, it leverages large vision-language models that comprehend document structure much the way a human reader does. The AI processes the complete PDF, interprets the spatial relationships between labels and their corresponding values, and returns structured output regardless of layout variation. An unfamiliar document format requires no prior configuration and works correctly from the very first page.
The extraction pipeline runs in four stages: the PDF arrives through any ingestion channel (email, upload, cloud storage, or API), the AI model pulls the target fields, outputs are validated against format expectations and business rules, and structured data is delivered to a downstream destination — Excel, Google Sheets, CSV, JSON, a database, or an ERP. Each document moves through the full pipeline in seconds.
Lido manages this entire workflow end to end. It connects natively to Gmail, Outlook, Google Drive, SharePoint, and any email inbox to ingest PDFs automatically as they arrive. A layout-agnostic AI engine extracts both standard document fields and any custom fields you define using plain-language instructions. Extracted data flows out to Excel, Google Sheets, CSV, JSON, XML, or directly into your ERP via REST API or Power Automate. The platform is SOC 2 Type 2 certified with AES-256 encryption throughout.
Explore how PDF data extraction powers PDF to Excel conversion, streamlines invoice extraction, and scales across batch document processing.
Audited security controls verified over a sustained period — not a point-in-time snapshot.
Signed Business Associate Agreement available for healthcare document processing.
Your PDFs are never used to train, fine-tune, or improve AI models. Data Processing Agreements available.
Bank-grade encryption at rest. TLS 1.2+ in transit. All API access requires authentication.
Documents automatically deleted within 24 hours of processing. No copies remain on infrastructure.
PDF data extraction is the process of pulling structured data from PDF documents — tables, text fields, line items, totals, dates, and identifiers — into spreadsheets or databases. Unlike basic copy-paste or text-only OCR, PDF data extraction preserves document structure and outputs organized, field-level data. Lido's PDF data extraction reads any PDF layout without templates or manual configuration.
Template-based tools require you to configure a separate extraction template for each PDF layout. When a document format changes, the template breaks. AI PDF data extraction software like Lido uses layout-agnostic extraction that reads the visual structure of any PDF — headers, tables, labels, and values — without templates. This means zero per-format setup and no maintenance when layouts change.
Modern PDF data extraction handles native digital PDFs, scanned documents, invoices, purchase orders, receipts, bank statements, shipping documents, and any tabular PDF. Lido processes all of these formats with the same AI engine, extracting structured data regardless of whether the PDF is a clean digital file or a low-resolution scan.
AI-powered PDF data extraction typically achieves 95–99% field-level accuracy. Accuracy depends on document quality — clean digital PDFs produce near-perfect results, while faded or low-resolution scans may require review. Lido offers free 24-hour reprocessing so you can adjust extraction instructions and iterate without additional cost.
Yes. This is where AI PDF data extraction has the biggest advantage over template-based tools. Template tools require a separate configuration for each document layout — with 200 sources, that is 200 templates to build and maintain. Lido's layout-agnostic AI reads any PDF on the first upload with zero configuration, making it practical for companies receiving documents from hundreds of sources.
The average cost to manually extract data from a single PDF is $8 to $15, including labor, error correction, and downstream rework. PDF data extraction software reduces per-document cost to under $2 by eliminating manual data entry. For teams processing 500 or more PDFs per month, Lido typically delivers ROI within the first month through labor savings alone.
PDF data extraction software exports structured data to Excel, Google Sheets, CSV, or JSON for import into any business system. Lido connects to Gmail, Outlook, Google Drive, and OneDrive for automatic document intake, and the REST API enables fully automated pipelines where PDFs flow from receipt to structured data without manual intervention.
Start free with 50 pages. Upgrade when you're ready. For detailed comparisons, see our guides to best PDF data extraction tools and financial statement extraction.