Convert invoices, bank statements, financial reports, and any PDF containing tabular data to clean Excel spreadsheets. AI-powered extraction preserves rows, columns, and cell values automatically. No templates. No training data.
Upload any PDF containing tables — invoice, bank statement, or report — and get a clean, structured Excel spreadsheet back immediately. No setup, no templates, no waiting.
No templates. No training data. No per-document configuration.
Upload invoices, bank statements, financial reports, inventory lists, or any PDF with tabular data. The AI reads the visual layout and extracts rows, columns, headers, and cell values into a structured .xlsx spreadsheet. Works with digital PDFs, scanned documents, and smartphone photos without any configuration.
Layout-agnostic AI understands table structure the way a person does — by reading context, spatial relationships, and column alignment. No templates to configure and no training data to label. Handles multi-page tables, merged cells, and inconsistent formatting automatically. AI columns let you define custom extraction rules in plain English.
Download extracted data as a formatted Excel spreadsheet, export to CSV or Google Sheets with one click, or retrieve structured JSON via the REST API. Power Automate connector available for automated workflows. Batch process hundreds of PDFs and consolidate results into a single output file.
“We used to spend hours each week copying tables from PDF reports into Excel. Now we upload a batch of PDFs and get formatted spreadsheets back in seconds. The column alignment is perfect every time.”
“The scanned document handling is what won us over. We receive vendor invoices as scanned PDFs from dozens of suppliers and this converts every one of them to clean Excel files without any template setup.”
“Multi-page tables that span three or four pages used to be our worst nightmare. The converter handles page breaks seamlessly and produces one continuous Excel table. It has saved my team an entire day each month.”
“We eliminated 30 hours of weekly manual data entry. Every bank statement, invoice, and vendor report is now converted to Excel automatically, and our team focuses on analysis instead of retyping numbers from PDFs.”
An accounting firm processing over 600 PDF documents per week eliminated their manual conversion backlog within one day of switching to PDF-to-Excel.co.
Last updated: June 2026
PDF files are built for visual display, not data interchange. When a document is saved as a PDF, the table structure a human reader sees clearly is not stored as rows and columns internally. Instead, individual text fragments are placed at exact coordinates on a canvas with no metadata indicating which values belong to which column or row. This explains why copying from a PDF and pasting into Excel yields jumbled text, misaligned columns, and merged values that demand extensive manual repair.
First-generation PDF to Excel converters tackled this with rule-based parsing. They searched for grid lines, uniform spacing, and repeating patterns to infer where tables began and ended. These tools performed well on simple, neatly formatted PDFs but broke down on scanned documents, PDFs lacking visible grid lines, documents with multi-level headers, and files where column alignment shifted between pages.
Template-based extraction tools raised accuracy by letting users define zones on a particular PDF layout. You drew boxes around columns, labeled the headers, and the system extracted from those coordinates on matching documents. For organizations that received the same report format repeatedly, this was reliable. But each new layout required its own template, and companies receiving PDFs from dozens of vendors, banks, or government agencies ended up maintaining hundreds of them.
Layout-agnostic AI is the current generation of PDF to Excel conversion technology. These platforms employ large vision-language models that interpret document structure as a person would — reading context, spatial relationships, column alignment, and semantic meaning. The AI locates table boundaries, reads headers, links cell values to the correct columns, and handles multi-page tables, merged cells, and inconsistent formatting. No template needs to be configured, no training data needs to be supplied, and no model needs to be retrained.
PDF-to-Excel.co applies this layout-agnostic approach, powered by Lido, to convert any PDF with tabular data into clean Excel spreadsheets. Output is also available as CSV, Google Sheets, JSON, or XML. For recurring documents like monthly bank statements or vendor invoices, email automation processes attachments as they arrive and delivers Excel output to your chosen destination.
Learn more about how AI-powered document extraction works on the Lido blog, or explore how PDF to Excel conversion supports batch processing workflows and scanned document handling.
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Signed Business Associate Agreement available for organizations processing healthcare-related PDF documents.
Your PDF documents 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.
Processed PDFs automatically deleted within 24 hours. No copies remain on infrastructure.
PDF to Excel conversion works with virtually any PDF that contains tabular data: invoices, bank statements, financial reports, inventory lists, purchase orders, shipping manifests, expense reports, and more. It handles digital PDFs, scanned paper documents, and even smartphone photos of printed tables. Lido uses layout-agnostic AI that reads the visual structure of each document, so it processes any PDF format from the first upload without templates or configuration.
Copying and pasting from a PDF into Excel typically produces unstructured text with broken columns, merged cells, and misaligned data that requires extensive manual cleanup. AI-powered PDF to Excel conversion reads the visual layout of the document and understands which values belong to which columns, preserving table structure automatically. Lido uses layout-agnostic AI to extract clean, properly aligned rows and columns from any PDF into a formatted Excel spreadsheet without manual reformatting.
Yes. Scanned PDFs, photographed documents, and image-based PDFs can all be converted to Excel. The AI performs optical character recognition and layout analysis simultaneously, reading the table structure from the visual image rather than relying on embedded text layers. Lido processes scanned documents with the same accuracy as digital PDFs, extracting rows, columns, and cell values into clean Excel spreadsheets.
Yes. Batch PDF to Excel conversion processes hundreds or thousands of PDFs automatically. You can upload files in bulk, connect an email inbox to process PDF attachments as they arrive, or link a cloud drive folder for continuous processing. Lido supports batch conversion through direct upload, Gmail, Outlook, Google Drive, and OneDrive integrations, with all results exported to a single consolidated Excel file, Google Sheet, or CSV.
Layout-agnostic AI matches or exceeds the accuracy of manual data entry while processing documents in seconds rather than minutes. The key advantage is consistency: unlike manual conversion, AI does not introduce errors from fatigue, misreading, or misaligned columns. Lido assigns every extracted field a confidence score, so low-confidence results can be flagged for review while high-confidence results flow through automatically.
In addition to Excel (.xlsx), extracted PDF data can be exported to CSV, Google Sheets, JSON, and XML. You can also access structured data through a REST API that returns JSON with confidence scores for each extracted field. Lido supports all of these output formats with one-click export, and a Power Automate connector is available for no-code workflow integration with downstream systems.
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