Turn scanned invoices, receipts, faxes, and photographed documents into structured Excel spreadsheets. AI-powered OCR reads any scan quality and maps data to the right columns automatically.
No templates. No manual data entry. No OCR configuration.
Upload scanned invoices, photographed receipts, faxed forms, or image-based PDFs. Drag and drop one file or hundreds. The AI-powered OCR handles any scan quality, resolution, or orientation.
The OCR engine recognizes every character in your scanned document, then the AI interprets the layout to identify tables, headers, line items, dates, and amounts. No templates to configure, no recognition zones to define.
Get your OCR-extracted data in Excel, Google Sheets, CSV, or JSON. Every recognized field lands in the right column with proper formatting. Use AI columns to define custom extraction rules in plain English.
Drop any scanned invoice, receipt, photographed form, or image-based PDF below and get structured Excel data back immediately.
AI-powered OCR handles any scanned document, any quality, any volume.
Scanned invoices, photographed receipts, faxed forms, image-based PDFs, and even photos of handwritten tables. The OCR recognizes text from any source, then the AI maps it to structured Excel columns by understanding document context and layout.
Traditional OCR tools require you to define recognition zones for each document layout. Lido uses layout-agnostic AI that interprets scanned document structure automatically. When vendors change their invoice format, the OCR adapts without reconfiguration.
The OCR engine recognizes table structures within scanned documents and extracts each row as a structured record. Line items from invoices, transaction rows from statements, and itemized entries from reports all land in organized spreadsheet columns.
Upload hundreds of scanned documents at once. The OCR processes them simultaneously and outputs all extracted data into a single spreadsheet. Connect an email inbox or cloud folder for automatic OCR processing as new scans arrive.
Export OCR-extracted data to Excel (.xlsx), Google Sheets, CSV, JSON, or XML. REST API returns structured JSON with confidence scores for each recognized field. Direct ERP integration sends OCR data into accounting systems automatically.
SOC 2 Type 2 certified and HIPAA compliant. AES-256 encryption at rest, TLS 1.2+ in transit. Scanned documents automatically deleted within 24 hours. Your documents are never used to train AI models.
“We receive hundreds of scanned invoices every week from vendors who still fax or mail paper documents. Before this, someone had to manually type every line item into Excel. Now the OCR reads the scans and we just review the flagged items. We cut manual entry by 90%.”
“Our warehouse team photographs delivery receipts and packing slips on their phones. This tool OCRs those photos directly into our Excel tracker with the right columns. No more squinting at phone photos trying to read smudged handwriting.”
“We digitize old paper records for compliance archiving. The OCR handles documents from the 1990s that were clearly photocopied multiple times. The accuracy on degraded scans is far better than anything else we tested.”
“Our accounts payable team processes 1,500+ scanned invoices per month from vendors who don’t send digital files. Two people spent their entire week retyping data into Excel. Now the OCR handles it automatically and we just verify the exceptions.”
Finance teams processing high volumes of scanned documents have eliminated manual retyping after switching to AI-powered OCR that converts any scan into structured Excel data without templates.
Scanned documents are everywhere in business. Vendors fax invoices. Warehouse teams photograph delivery receipts on their phones. Banks mail paper statements. Insurance companies send claim forms as scanned PDFs. Government agencies issue permits and certificates as photocopies. The data locked inside these scans — amounts, dates, line items, account numbers, vendor names — needs to end up in Excel spreadsheets, ERPs, and databases. But a scanned document is fundamentally different from a digital file. It is an image of text, not text itself, and standard conversion tools cannot read it.
Basic OCR solves the first problem by recognizing individual characters in an image. It converts the picture of the letter "A" back into the character "A." But character recognition alone does not produce usable spreadsheet data. A traditional OCR engine might recognize every character on a scanned invoice but output them as a single stream of text with no structure — amounts next to vendor names, dates jumbled with line items, headers mixed with data rows. The gap between raw OCR text and organized Excel columns is where most workflows break down, requiring hours of manual cleanup for every batch of scanned documents.
AI-powered OCR to Excel conversion closes that gap. Rather than simply recognizing characters, Lido combines OCR with document understanding. The AI first reads every character in the scanned image, then interprets the document layout to identify tables, headers, field labels, and the relationships between data elements. It understands that "Total Due" labels a specific amount, that rows beneath "Item Description" are line items, and that the number next to "Invoice #" is an identifier. This contextual understanding produces structured Excel output where each recognized value lands in the correct column without manual mapping.
The difference between OCR to Excel conversion and regular PDF to Excel is the OCR layer itself. Tools designed for native digital PDFs read embedded text directly from the file. They fail on scanned documents because there is no text to read — only pixels. OCR to Excel converters handle the image-to-text recognition step first, then apply document intelligence on top. This makes them essential for any workflow involving paper documents, faxes, photos, or any PDF created by scanning rather than by digital export. For a comparison of tools that handle this, see the OCR to Excel tool comparison on our sister site.
The practical result is that teams processing scanned invoices, photographed receipts, faxed forms, or any other image-based document can upload files in batch and get clean, structured Excel data back. The OCR handles any scan quality — from crisp 600 DPI scans to blurry phone photos — and the AI ensures each recognized value lands in the right spreadsheet column. Whether you process 50 scanned documents per month or 50,000, the conversion works on any layout from any source without templates, training data, or manual configuration.
Audited security controls verified over a sustained period.
Bank-grade encryption at rest. TLS 1.2+ in transit.
BAA available for healthcare and financial document processing.
The OCR to Excel converter handles virtually any scanned document type — invoices, receipts, bank statements, purchase orders, tax forms, insurance claims, medical records, and shipping manifests. It processes scanned PDFs, photographed documents, faxes, and even images of handwritten tables. The AI-powered OCR reads text from any scan quality, including low-resolution faxes, skewed photos, and documents with stamps or annotations, then converts the recognized data into structured Excel columns.
AI-powered OCR to Excel conversion achieves 95–99% accuracy on clear scans and high-resolution images, and 90–98% on lower-quality documents like faxes, old photocopies, and photos taken at an angle. The AI goes beyond basic character recognition by understanding document structure — it identifies tables, headers, line items, and field labels by context, ensuring each value lands in the correct Excel column. Confidence scores flag uncertain characters for human review while high-confidence data flows through automatically.
Regular PDF to Excel conversion works on native digital PDFs that already have embedded text layers — it reads the text directly from the file. OCR to Excel conversion adds a critical first step: optical character recognition that reads text from images, scans, photos, and faxed documents where no text layer exists. Without OCR, scanned documents are just pictures of text that standard converters cannot read. OCR to Excel tools first recognize every character in the image, then interpret the document structure to map data into organized spreadsheet columns.
Yes. Upload hundreds of scanned documents at once and the AI processes them simultaneously, outputting all OCR-extracted data into a single Excel or Google Sheets file. For ongoing workflows, connect an email inbox or cloud drive folder so new scanned documents are processed automatically as they arrive. Batch OCR handles mixed document types — invoices, receipts, and statements in the same upload — without any per-document configuration.
No. Traditional OCR tools require you to define recognition zones for each document layout, and those templates break when vendors change their format or you receive documents from new sources. Lido uses layout-agnostic AI that understands document structure automatically after OCR. It identifies fields like invoice numbers, dates, amounts, and line items by context, so it works on any scanned document layout without templates or training data.
Yes. Lido is SOC 2 Type 2 certified and HIPAA compliant, with AES-256 encryption at rest and TLS 1.2+ in transit. All uploaded scanned documents are automatically deleted within 24 hours of processing. Your documents are never used to train AI models. A signed Business Associate Agreement is available for organizations processing healthcare or financial documents.
OCR-extracted data can be exported to Excel (.xlsx), Google Sheets, CSV, JSON, and XML. Each recognized field from your scanned document lands in the correct spreadsheet column with structured formatting. For developers building automated OCR pipelines, a REST API returns structured JSON with field-level confidence scores. Direct integration with ERP and accounting systems means OCR-extracted data flows into existing workflows without manual import steps.
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