
Table OCR - Extract tabular data from Pdf/Img
Table OCR enables efficient extraction of data from tables within images and PDF documents, transforming it into organized, structured formats for easier analysis and processing.
About Table OCR - Extract tabular data from Pdf/Img
Table OCR (Optical Character Recognition) leverages machine learning and artificial intelligence to accurately extract data from tables in scanned images and PDFs. This technology automates the conversion of tabular data into structured formats like Excel or CSV, significantly reducing manual data entry. Widely used across industries such as finance, healthcare, and retail, Table OCR enhances data accuracy, speeds up processing, and minimizes errors. It is an essential tool for organizations managing large volumes of data, streamlining workflows and improving operational efficiency.
How to Use
Use Table OCR to extract data from tables in invoices, contracts, forms, bills of lading, packing lists, insurance documents, and air waybills. Capture entire tables or select specific fields or cells within any document for streamlined data processing.
Features
- Automated extraction of table data from images and PDFs
- Selectively capture entire tables or specific cells
- Convert tabular data into structured formats such as Excel or CSV
- Ensures privacy and secure data handling
Use Cases
- Transform insurance certificates into actionable data
- Convert bank statements from PDFs to Excel or CSV
- Automate rent roll data processing
- Verify tax return details in real time
- Perform analysis on commercial real estate data
- Extract data from energy and utility bills accurately
- Streamline logistics and shipping document processing
- Automate accounts payable by capturing invoice data
Best For
Pros
- Supports a wide variety of document types
- Delivers faster, more accurate data extraction
- Prioritizes data privacy and security
- Enhances operational efficiency
- Reduces manual data entry errors
Cons
- Extraction accuracy depends on document quality
- May face challenges with complex or poorly formatted tables
