Capture structured data from invoices, receipts, forms, and bank statements into Excel or Google Sheets. AI-powered OCR reads any document layout without templates or manual data entry.
No templates. No training data. No per-document setup.
Upload invoices, receipts, forms, bank statements, or any document as a PDF, scanned image, or photo. The AI accepts JPG, PNG, HEIC, TIFF, multi-page PDFs, and more — skewed scans and faded print included.
The AI reads each document and identifies tables, fields, labels, line items, totals, and key-value pairs by context. Data is mapped to organized columns — no templates break when document layouts change between vendors.
Download captured data as Excel, CSV, or Google Sheets. Use AI columns to define custom capture rules in plain English for any field you need — vendor name, invoice number, due date, line item totals.
Upload any invoice, receipt, form, or bank statement — PDF, scanned image, or photo — and get structured spreadsheet data back immediately.
No templates. No training data. No per-document-type configuration.
Invoices, receipts, purchase orders, bank statements, tax forms, insurance claims, expense reports — upload from any source. Supports PDF, JPG, PNG, HEIC, TIFF, BMP, and WebP. AI handles skewed scans, faded text, and low-resolution images without pre-processing.
AI detects table structures, column headers, row data, and key-value fields automatically. Captures vendor names, invoice numbers, dates, line items, totals, and account numbers from any document layout into properly structured spreadsheet columns.
Reads documents the way a person would, identifying fields by position and context rather than rigid templates. When a new vendor or document format appears, the AI adapts automatically. Define custom capture rules in plain English using AI columns.
Handles scanned documents, photocopies, faxes, and phone photos that break traditional OCR. AI compensates for scan artifacts, skewed pages, bleed-through, shadows, and inconsistent print quality to deliver accurate structured data from real-world documents.
Export captured data directly to Excel or Google Sheets. Download as CSV or JSON for import into accounting systems, ERPs, or databases. REST API returns structured JSON with confidence scores for each captured field.
Upload hundreds of documents at once. AI captures data in parallel and outputs everything to a single spreadsheet. Connect email, Google Drive, or cloud storage for automatic capture as documents arrive throughout the day.
“We receive invoices from over 200 vendors in different formats. What used to be two full days of manual data entry per week now runs automatically in under an hour with consistent accuracy.”
“Our field teams photograph receipts and expense forms on their phones. The AI captures every line item and total into our Google Sheet — no templates, no manual cleanup needed.”
“We process bank statements, tax forms, and insurance documents daily. One platform handles all of them. Data lands in our spreadsheet formatted and ready for reconciliation.”
“We eliminated manual data entry entirely for our invoice processing. Documents that sat in a backlog for days now flow directly into our accounting spreadsheet — invoices, receipts, purchase orders, all captured automatically.”
Operations teams using AI-powered data capture OCR have reduced manual document processing time by 85–95% across invoices, receipts, bank statements, forms, and expense reports.
Every organization deals with documents that contain valuable data trapped in formats that computers cannot easily read. Invoices arrive from hundreds of vendors, each with a different layout. Bank statements come as PDF downloads or scanned paper. Receipts are photographed in the field. Purchase orders are faxed. Insurance claims arrive as multi-page scanned packets. The data inside these documents needs to reach spreadsheets, accounting systems, and databases — and for most teams, that still means someone typing it in by hand.
Manual data capture is slow, expensive, and error-prone. A skilled data entry operator processes 20 to 40 documents per hour with a baseline error rate of 2 to 5 percent. Those errors compound downstream, causing reconciliation failures, payment mismatches, and compliance gaps. As document volume grows, teams either hire more people or fall behind, creating backlogs that delay financial close cycles and operational reporting.
Traditional OCR was the first attempt to automate this process. Optical character recognition converts images of printed text into machine-readable characters. It works reasonably well on clean, high-resolution scans with uniform fonts. But traditional OCR has a fundamental limitation: it reads characters without understanding what they mean in the context of a document. It does not know that the number next to “Invoice Total” is a payment amount, that the rows beneath “Description” are line items, or that the field labeled “Due Date” contains a date rather than a reference number. The result is a flat text dump that requires extensive manual cleanup and custom rules for every document type.
AI-powered data capture OCR takes a fundamentally different approach. Instead of recognizing characters in isolation, the AI reads the entire visual structure of a document — tables, labels, fields, line items, headers, totals, and the spatial relationships between them — the way a human would. It understands that certain values belong together, that headers define columns, and that indented rows represent sub-items. This layout-agnostic intelligence means the same capture engine works on invoices from any vendor, bank statements from any institution, and forms from any source without requiring templates, training data, or per-document-type configuration.
The practical difference is dramatic. Teams processing documents manually spend hours per day on data entry that AI capture completes in seconds. Because the AI adapts to any layout, there is zero setup cost when a new vendor, bank, or document format appears in the workflow. Captured data flows directly into Excel, Google Sheets, CSV, or JSON, ready for accounting systems, ERPs, databases, or downstream analysis. Security is handled end to end — Lido is SOC 2 Type 2 certified with AES-256 encryption at rest, TLS 1.2+ in transit, and automatic 24-hour data deletion.
Lido is a layout-agnostic AI platform that handles data capture OCR end to end. Upload invoices, receipts, bank statements, forms, or any document and get clean spreadsheet output back in seconds. Teams using Lido report reducing manual data capture by 85–95%, whether they process financial documents, operational records, or compliance paperwork at scale.
For a deeper look at how AI transforms document processing, read what data capture is and how it works.
Audited security controls verified over a sustained period.
BAA available for healthcare and financial document processing.
Bank-grade encryption at rest. TLS 1.2+ in transit.
Documents never used to train or improve AI models.
Documents automatically deleted within 24 hours of processing.
Data capture OCR is the process of using optical character recognition combined with AI to extract structured information from physical and digital documents — invoices, receipts, forms, bank statements, and purchase orders — and convert it into spreadsheet-ready formats like Excel, CSV, or Google Sheets. Unlike traditional OCR that simply reads characters, data capture OCR understands the visual layout of a document, identifying tables, fields, labels, line items, and totals, then maps each value to the correct spreadsheet column without templates.
AI improves data capture accuracy by understanding document context rather than just recognizing individual characters. Traditional OCR produces flat text that loses document structure. AI-powered data capture reads the entire visual layout — recognizing that a number next to “Amount Due” is a payment total, not a random string of digits. This contextual understanding delivers 95–99% field-level accuracy on printed documents and 90–97% on handwritten text. Lido's layout-agnostic AI adapts to any document format without templates or per-document-type training.
Data capture OCR processes any document that contains structured or semi-structured information. Common types include invoices, receipts, purchase orders, bank statements, tax forms, insurance claims, shipping manifests, medical records, and expense reports. The AI handles native digital PDFs, scanned documents, photos from phone cameras, faxes, screenshots, and photocopies. Supported formats include PDF, JPG, PNG, HEIC, TIFF, BMP, and WebP without pre-processing.
Yes. AI-powered data capture OCR handles the imperfect documents that break traditional OCR — skewed scans, faded print, low resolution, shadows from phone cameras, bleed-through from double-sided pages, and compression artifacts from email attachments. The AI uses contextual understanding of document structure, reading the relationship between fields, labels, and values rather than relying solely on pixel-level character recognition. Lido processes documents from any source without manual quality adjustments.
Manual data entry typically processes 20–40 documents per hour with a 2–5% error rate that compounds at scale. AI-powered data capture OCR processes hundreds of documents per hour with 95–99% accuracy on structured fields. Teams using automated capture report reducing manual entry time by 85–95%. Manual entry costs scale linearly with volume, while automated capture costs remain flat. Lido processes documents end to end, from upload to structured spreadsheet output.
Lido is SOC 2 Type 2 certified and HIPAA compliant, with AES-256 encryption at rest and TLS 1.2+ in transit. All documents are automatically deleted within 24 hours. A signed Business Associate Agreement is available for healthcare and financial document workflows. Your documents are never used to train AI models. These controls make Lido suitable for processing invoices, bank statements, medical forms, tax documents, and other sensitive records.
Lido offers 50 free pages with no credit card required. The Standard plan is $29/month for 100 pages. The Scale plan is $7,000/year for up to 42,000 pages and 10 users. Enterprise plans start at $30,000/year with custom ERP integrations, a dedicated account manager, and BAA signing for HIPAA compliance. All plans include AI-powered capture, Excel and Google Sheets output, and SOC 2 Type 2 security.
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