{"id":2617,"date":"2026-10-26T12:39:52","date_gmt":"2026-10-26T07:09:52","guid":{"rendered":"https:\/\/www.groweon.com\/blog\/?p=2617"},"modified":"2026-10-26T12:49:50","modified_gmt":"2026-10-26T07:19:50","slug":"extract-data-from-supplier-scans-crm-quotes","status":"publish","type":"post","link":"https:\/\/www.groweon.com\/blog\/extract-data-from-supplier-scans-crm-quotes\/","title":{"rendered":"How to Extract Data from Supplier Scans for CRM Quote Creation"},"content":{"rendered":"

A supplier emails you a price sheet. But there is a problem. It is a blurry scan, a photograph of a printed page, or a PDF from which you cannot copy the text.<\/span><\/p>\n

Supplier documents often contain important information such as product names, SKUs, unit prices, minimum order quantities, and payment terms. Before this information can be used to prepare a sales quotation in your CRM, it needs to be converted into an editable format.<\/span><\/p>\n

Retyping everything manually takes time, and even a small data-entry mistake can affect the final quotation.<\/span><\/p>\n

A more efficient approach is to use Optical Character Recognition (OCR) to extract text from scanned documents, verify the information, and prepare it for your CRM quotation workflow.<\/span><\/p>\n

In this guide, we will walk through a simple, five-step process to help businesses reduce manual data entry and prepare quotations more efficiently.<\/span><\/p>\n

Note: This guide is intended for businesses using CRM platforms that do not offer built-in text extraction from scanned documents or images.<\/span><\/em><\/p>\n

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