Extract financial data 10x faster with AI OCR

If you have ever typed invoice or bank statement data into a spreadsheet by hand, you know how slow and error-prone the process is. A stack of 100 invoices can take an entire day to key in manually, and a single mistyped amount can throw off an entire reconciliation.
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Most finance teams start by looking for a financial data extraction tool that can read documents automatically. The first tools they find are template-based extractors that require you to define where each field appears on the document. These work for a single vendor's invoice layout, but break the moment you receive a document from a new vendor.
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The next option is a basic OCR tool that converts the document image to raw text. It captures the characters, but leaves you to sort through unstructured text and pull out the vendor name, line items, and totals yourself. For a handful of documents this is manageable. For monthly close or weekly AP processing, it creates more work than it saves.
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The current generation — the one Lido built — uses AI that reads financial documents the way a person does. No templates to configure. No raw text to parse. Upload an invoice, receipt, bank statement, or purchase order and the software extracts the relevant fields into clean, structured columns automatically. It handles scanned documents, PDFs, photos, and email attachments on the first upload.
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Lido is the most accurate financial data extraction software available. It processes documents from any vendor, bank, or institution without per-document configuration. Whether you are automating accounts payable, reconciling bank statements, or preparing audit documentation, Lido turns a stack of financial documents into structured data in minutes.
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The test is simple: upload your 10 most difficult financial documents — the multi-page invoices, the scanned bank statements, the handwritten receipts — and see what comes back. If the software needs you to define fields or clean up the output, it is a previous-generation tool.