Lido | Extract Data from PDFs, Invoices & Receipts to Excel

What

Lido is an AI-powered document processing platform that extracts structured data from documents and converts it into Excel, Google Sheets, or CSV. It is aimed at finance, accounts payable, operations, logistics, manufacturing, and healthcare teams that need to process invoices, receipts, bank statements, purchase orders, medical forms, bills of lading, and similar files without manual entry or template setup.

The core workflow is document ingestion, data extraction, validation against internal systems, and downstream automation. Based on the page, Lido is positioned as a modern alternative to legacy OCR tools by emphasizing no-template extraction, support for variable document layouts, and workflow automation beyond simple PDF-to-spreadsheet conversion.

Features

• Template-free document extraction: Lido extracts fields, tables, and values from PDFs, scans, photos, Word files, and email attachments without requiring prebuilt templates or model retraining.
• Broad document support: It supports invoices, receipts, bank statements, purchase orders, tax forms, medical claims, contracts, handwritten documents, and other document types across languages and currencies.
• Spreadsheet-ready outputs: Extracted data can be exported into Excel, Google Sheets, or CSV, making it easier to fit into common finance and operations workflows.
• Validation against internal records: The platform can match extracted data against internal systems and apply reference lists or custom validation rules to improve data quality before ERP entry.
• Workflow automation tools: Lido can trigger downstream actions such as uploading to an ERP, populating forms, splitting or renaming files, sending outputs on a schedule, and generating documents with its AI form filler.
• Batch and inbox ingestion: Teams can upload files in batches or connect shared folders and inboxes so new documents are ingested automatically as they arrive.

Helpful Tips

• Test with layout variability: Since Lido’s differentiation is template-free extraction, evaluate it using documents from multiple vendors, scan qualities, and handwritten samples rather than only clean, standardized files.
• Verify validation logic early: If your process depends on ERP matching or reference data, define those validation rules upfront to reduce exceptions after extraction.
• Separate extraction from workflow goals: Assess both the quality of extracted fields and the practical usefulness of downstream automations such as file handling, exports, and form filling.
• Review document retention and security requirements: The site states encryption, SOC 2 Type II, HIPAA compliance, and automatic deletion after 23 hours, so buyers with sensitive workflows should confirm these settings align with internal policy.
• Pilot with a high-volume use case first: Invoice processing, purchase orders, or claims handling are likely strong starting points because the product is clearly designed for repetitive document-heavy operations.

OpenClaw Skills

Within the OpenClaw ecosystem, Lido could likely serve as a document-to-structured-data layer for agents that monitor inboxes, classify incoming files, extract required fields, and route validated records into operational workflows. A likely use case would be an AP or finance skill that reads invoices, checks vendor or PO details against master records, flags exceptions, and prepares clean outputs for spreadsheet analysis or ERP submission.

OpenClaw could also build higher-level industry workflows around Lido’s extraction and automation capabilities, even though the page does not describe a native OpenClaw integration. Likely examples include healthcare intake agents for claims and forms, logistics agents for bills of lading and shipment paperwork, or manufacturing agents for purchase order reconciliation. In practice, this combination could reduce manual document handling and let teams shift from data entry toward exception management, audit review, and process control.