Struggling to choose between Microsoft Lens and Screen OCR? Both products offer unique advantages, making it a tough decision.
Microsoft Lens is a Office & Productivity solution with tags like scanner, ocr, pdf, docs, photos.
It boasts features such as Document scanning, Business card scanning, Whiteboard scanning, Photo scanning, Built-in OCR, Convert images to PDF, Word, Excel and PowerPoint, Sync scans across devices, Annotation tools, Share scans via email and cloud storage and pros including Free to use, Simple and easy to use interface, Good OCR accuracy, Syncs with OneDrive for easy access across devices, Exports scans to various file formats, Annotate scans within the app.
On the other hand, Screen OCR is a Ai Tools & Services product tagged with ocr, screen-capture, text-extraction.
Its standout features include Extract text from images, screenshots, and other visual content, Optical character recognition (OCR) technology, Convert text in images into editable and searchable text, Support for multiple languages, Customizable output formats (e.g., text, CSV, PDF), and it shines with pros like Accurate text extraction from screen content, Ease of use with intuitive interface, Support for various image and document formats, Ability to save extracted text for further processing.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Microsoft Lens is a mobile app for iOS and Android that allows users to scan documents, whiteboards, business cards, and more using their device's camera. It has built-in optical character recognition (OCR) and can convert images to PDF, Word, Excel, and PowerPoint files.
Screen OCR is software that can extract text from images, screenshots, and other visual content on your computer screen using optical character recognition (OCR) technology. It converts text in images into editable and searchable text.