OCR

OCR (Optical Character Recognition) extracts text from images, scanned documents, PDFs, screenshots, and other image-based files, converting visual content into machine-readable text. It enables organizations to digitize documents, automate data extraction, and integrate extracted text into downstream workflows and AI-powered processes.

Key Features

• Extract text from images and documents: Converts text from scanned PDFs, photos, screenshots, and other image-based formats into editable, searchable text.
• Support multiple file and document types: Processes a broad range of image and document formats, from single-page scans to multi-page files.
• Preserve content structure: Retains layout, formatting, tables, and text organization during extraction, so output stays usable rather than a flat text dump.
• Process at scale: Automates extraction across large volumes of files and documents, supporting batch and workflow-driven processing.
• Feed structured data downstream: Makes extracted text available in structured, machine-readable form for automation, analytics, and AI-driven applications.

OCR helps organizations move off manual transcription, reduce errors in document-heavy processes, and unlock the value of information trapped in image-based and scanned files, making it searchable, accessible, and ready for reuse.