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    1. Products
    2. LetterSnap OCR
    3. Alternatives
    The best alternatives to LetterSnap OCR are NanoNets, Anyline Keyboard, and OwlOCR 1.0. If these 3 options don't work for you, we've listed over 20 alternatives below.
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    Best alternatives to LetterSnap OCR
    • Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
    • The Anyline Keyboard lets you scan text instead of typing. It functions like any normal keyboard built for iPhones, but with an extra scanning function.
    • OwlOCR offers simple optical character recognition of text in PDF files, images or on-screen and converts that to plain text. All conversion is done securely on-device - none of the data are sent to third-party services in the cloud as most applications do.
    • Base64.ai is a cloud API that can extract data, photos, and signatures from all types of documents. We have prebuilt models for IDs, driver licenses, passports, visas, invoices, and many more document types. The integration is only a single API call.
    • Instantly capture non-selectable text from YouTube videos, PDFs, images, online courses, screencasts, presentations, webpages, video tutorials, photos, etc. It's so simple and easy as taking a screenshot with a built-in snipping tool for Mac.
    • ABBYY Digital Intelligence platform is designed to allow organizations to deploy solutions in standalone configurations or as a tightly integrated extension of industry-leading RPA, BPM, and packaged application solutions.
    • TextGrabber quickly digitizes fragments of printed text and turns the recognized result into action: call, email, follow links, translate into 100+ languages and many more. The app captures and recognizes information even without connecting to the Internet.
    • Less typing, more coding. Tired of those screenshots of code you can't paste into your IDE? Unfreeze is a simple macOS application that performs OCR on code snippet images. - Requirements: macOS Big Sur 11.0+
    • Extract data with 100% accuracy from PDF files & scans. Automate invoice processing with our fast and reliable document data capture software. Extract data from PDF to Excel, JSON, XML or update apps with webhooks.
    • LetterScan identifies and displays text found in any image you upload.
    • It’s like a shortcut menu to run the shell command, or a simple SSH shortcut menu.
    • Text Grab uses OCR to copy any text displayed on screen. This means you can copy text from images, PDFs, video, or within an app's UI.
    • Text recognition by screenshot, no need Internet Support different languages Fast and accurate recognition using native engine Free, no restrictions and hidden charges
    • CatOCR is a free OCR website that can be used offline if you have unloaded it once. Convert image to text, copy the results or export to Docx, support JPG/PNG/BMP/Webp/PDF. PWA is also available.
    • OC Rooster is an OCR service for Notion. Once you set it up, it detects text in images automatically, and makes them searchable.
    • Transform your portrait photos into a compliant visa or passport photo with AI technology. Our machine learning model accurately detects faces, removes background, and resizes images to meet the document requirements with ease.
    • Want to take notes effortlessly when reading that article or screenshots or a book? Add notes by taking a picture of a text and cropping the region of interest, or by typing in the text. Tag, annotate and review them. We support sync across iOS devices.
    • Fast, Free Document Viewer CDRViewer is useful tool for teams that need to open CorelDRAW documents and other type of documents like Visio, PDF, PostScript and Ai on a modern platform.
    • DocScan is the best app for quickly scanning documents and export and share your scans as JPEGs or multi-page PDFs with good quality.
    • Using this Chrome extension, text recognition becomes one step easier. After installing it to Chrome, just do a right mouse click on any image and select "Recognize text with Image Reader" from a context menu.