Here are a few examples of optical character recognition (OCR) software that are particularly useful for the translation industry, each equipped to handle a variety of linguistic challenges:
1. ABBYY FineReader: Known for its high accuracy rates, ABBYY FineReader supports over 190 languages and is particularly effective at recognizing texts in multiple languages from scanned documents and images. It's widely used for translating official documents and extracting text from them for further processing.
2. Adobe Acrobat Pro DC: While primarily a PDF tool, Adobe Acrobat netherlands mobile database Pro also features powerful OCR capabilities that can convert scanned documents into editable and searchable files. It supports numerous languages and scripts, making it a valuable tool for translators working with multilingual documents.
3. OmniPage Ultimate: , including complex scripts, like Arabic and Asian languages. OmniPage is designed to handle large volumes of documents and is often used by professional translation agencies for processing various types of content quickly and accurately.
4. Google Cloud Vision API: This is a more technologically advanced solution that leverages machine learning to improve OCR results over time. It can detect and translate text within images in over 50 languages, and it's particularly useful for developers and businesses that need to integrate OCR capabilities into their applications.