Convert PNG to PDF

PNG (Portable Network Graphics) is a widely-used raster image format that supports lossless data compression.

Key features of PNG files include:

• Lossless compression, maintaining image quality
• Support for transparency and alpha channels
• Wide color depth support (up to 48-bit true color)
• Excellent for images with text, logos, or sharp edges

When used for data extraction, PNG files can contain:

• Screenshots of data tables or spreadsheets
• Graphs, charts, or other data visualizations
• Scanned documents or receipts

Common use cases for PNG image data extraction:

• Digitizing printed or handwritten data
• Extracting information from charts and graphs
• Converting visual data representations into editable formats
• Automating data entry from image-based sources

By converting PNG images containing data to formats like CSV or Excel, you can transform visual information into structured, analyzable data for further processing or integration into various data analysis tools.

PDF (Portable Document Format) is a file format developed by Adobe to present documents consistently across different devices and platforms.

Key features of PDF include:

• Preserves document formatting, including fonts, images, and layout
• Supports interactive elements like forms and hyperlinks
• Can be password-protected and encrypted for security
• Widely supported and viewable on various devices and operating systems

While PDFs are excellent for preserving document appearance, they can be less flexible for editing compared to other formats.

Table and Data Extraction from PDFs

Konbert excels at extracting structured data from PDFs, including complex documents like invoices, bank statements, financial reports, and more. Our proprietary pipeline combines advanced OCR (Optical Character Recognition), Large Language Models (LLMs), and sophisticated heuristics to deliver high-quality data extraction.

Key features of our PDF data extraction:

• Accurate table detection and extraction, even from complex layouts
• Intelligent parsing of semi-structured documents like invoices and receipts
• Robust handling of various bank statement formats across different institutions
• Extraction of key-value pairs and form fields
• Support for multi-page documents and batch processing

Common use cases include:

• Automating data entry from invoices and purchase orders
• Analyzing financial data from bank statements and credit card reports
• Extracting tabular data from research papers and scientific publications
• Digitizing historical documents and archives
• Processing legal documents and contracts

Our advanced pipeline ensures high accuracy and reliability, making it suitable for both personal and enterprise-level data extraction needs.