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.
PDF files were designed for visual presentation, not data exchange. When a document is saved as a PDF, the table structure that appears clear to a human reader is not stored as rows and columns. Instead, individual text fragments are positioned at precise coordinates on a canvas, with no metadata indicating which values belong to which column or which row. This is why copying and pasting from a PDF into Excel produces jumbled text, misaligned columns, and merged values that require extensive manual cleanup.
Traditional PDF to Excel converters attempted to solve this problem with rule-based parsing. They looked for grid lines, consistent spacing, and repeating patterns to infer table boundaries. These tools worked on simple, cleanly formatted PDFs but failed on scanned documents, PDFs without visible grid lines, documents with multi-level headers, and files where column alignment varied between pages.
Template-based extraction tools improved accuracy by letting users define zones on a specific PDF layout. You drew boxes around columns, labeled the headers, and the system extracted from those coordinates on matching documents. This worked for organizations that received the same report format repeatedly, but every new format required a new template. Companies receiving PDFs from dozens of vendors, banks, or government agencies found themselves maintaining hundreds of templates.
Layout-agnostic AI represents the current generation of PDF to Excel conversion. These systems use large vision-language models that understand document structure the way a person does — by reading context, spatial relationships, column alignment, and semantic meaning. The AI identifies table boundaries, interprets headers, associates cell values with the correct columns, and handles multi-page tables, merged cells, and inconsistent formatting. There is no template to configure, no training data to label, and no model to retrain.
PDF-to-Excel.co uses this layout-agnostic approach, powered by Lido, to convert any PDF containing tabular data into clean Excel spreadsheets. The extracted data can also be exported to CSV, Google Sheets, JSON, or XML. For recurring PDFs like monthly bank statements or vendor invoices, email automation processes attachments automatically as they arrive and delivers Excel output to your preferred 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.
Audited security controls verified over a sustained period — not a point-in-time snapshot.
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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