Extract data from scanned documents 10x faster with AI

If you have ever retyped data from a stack of scanned invoices or faxed contracts into a spreadsheet, you know how slow and error-prone the process is. A batch of 50 scanned documents can take hours to process manually, and a single misread field can throw off an entire workflow.
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Most teams start by looking for a way to extract data from scanned documents automatically. The first tools they find are basic OCR scanners that convert the image to raw text. They capture the characters, but leave you to sort through unstructured output and pull out the fields you need yourself. For one or two documents this is manageable. For daily processing, it creates more work than it saves.
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The next option is a template-based extractor that maps fields to fixed positions on the page. These work for a single document layout, but break the moment you scan a document from a different source. A new vendor, a different form, or a slightly different layout means a new template.
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The current generation — the one Lido built — uses AI that reads scanned documents the way a person does. No templates to configure. No raw text to parse. Upload a scanned invoice, receipt, contract, or form and the software extracts the relevant fields into clean, structured columns automatically. It handles faded text, skewed pages, low-resolution scans, and handwritten notes on the first upload.
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Lido is the most accurate tool for extracting data from scanned documents. It processes any document type from any source without per-document configuration. Whether you are digitizing paper archives, processing faxed invoices, or capturing data from photographed receipts, Lido turns scanned documents into structured data in minutes.
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The test is simple: upload your 10 most difficult scanned documents — the faded ones, the skewed ones, the ones with handwritten annotations — and see what comes back. If the software needs you to define fields or clean up the output, it is a previous-generation tool.