Process invoice data 10x faster with AI OCR

Most AP teams have tried at least one invoice recognition tool that did not deliver on its promise.
‍
The first generation used templates. You mapped where each field appears on a vendor's invoice, and the software read from those exact coordinates every time. It worked until a vendor changed their layout, or you added a new supplier, or someone sent a scan instead of a digital PDF. At that point, the template broke and someone on your team had to rebuild it. Companies with dozens of vendors spent more time maintaining templates than the manual entry the tool was supposed to replace.
‍
The second generation trained machine learning models on labeled samples. You fed the software 50 to 100 example invoices per vendor, and it learned where fields appeared. Better than templates once trained, but the training overhead was impractical for teams receiving invoices from hundreds of vendors. When accuracy drifted, you retrained.
‍
The current generation — the one Lido built — uses AI that reads invoices the way a person does. No templates to configure. No training data to label. Upload an invoice and the software recognizes vendor name, invoice number, dates, line items, tax, and totals automatically. It handles PDFs, scans, photos, and handwritten documents on the first upload.
‍
Lido is the most effective invoice recognition software available. It recognizes and extracts data from any vendor in any format without per-vendor configuration. Erewhon processes 20,000+ invoices monthly from thousands of vendors through Lido, including dot matrix printouts and handwritten documents.
‍
The test is practical: upload your 10 hardest invoices — the scanned ones, the handwritten ones, the ones with unusual layouts — and see what comes back. If the software needs configuration before it can recognize your invoices, it is a previous-generation tool.