Table OCR - Extract Table Data from PDF/Images

Table OCR (Optical Character Recognition) is a technology that utilizes machine learning and artificial intelligence algorithms to extract data from tables in various formats, such as scanned images or PDF documents. It allows for the automatic recognition and conversion of tabular data into structured formats like Excel spreadsheets, eliminating the need for manual data entry. Table OCR has become increasingly important for businesses, as it allows for faster and more accurate processing of data, reducing errors and increasing efficiency. It can be used in a variety of industries, including finance, healthcare, and retail, and is a valuable tool for any organization that deals with large amounts of data.

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Table OCR can capture data from tables in invoices, contracts, forms, bills of lading, packing lists, invoices, insurance documents, air waybills & more. Capture entire tables or specific fields/cells within tables in any document.

Use Cases

Invoice

Automate accounts payable with invoice data capture

Bank Statement Converter

Easily convert PDF bank statements from 100s of banks world wide into Sheets™. Accurately Convert PDF Bank Statements to Sheets™.

Acord

Convert certificate of insurance to actionable data

Trailing 12 Months

Commercial real estate analytics made easier and more accurate

Rent Roll

50% less operational cost with automated rent roll processing

Bill of Lading

Onboard customers in real-time with quick and accurate logistic document processing

Energy&Utility

Error-free data extraction from Energy & Utility bills

IRS Form 1040

Verify tax return details in real-time with intelligent OCR API