Text Extractor (OCR) vs OCR - Image to Text Extract Uso e estatísticas

Convert any image file to text in no more than a second with using most advanced recognition technology. It allows you to extract text from an image at one click and convert HANDWRITTEN notes into digital text. Extracted text can be edited, translated, searched, shared, and stored on any device. Key Features: * Extract text from handwriting. * Scan/ extract text from image by reading file import or using phone's camera. * Auto detect language from image with 80+ supported languages such as English, Spanish, Chinese, Russian. Italian and more. * Translate to 100+ languages. * Share with others via text message, email, WhatsApp, Facebook, WeChat and all other apps. * Scanned text can be easily found by the scan history folder by typing the key words.
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The Smart Text Recognizer employs machine learning APIs to swiftly scan and extract text from images. Transform your mobile device into a text scanner with this application. This tool empowers you to engage in OCR (Optical Character Recognition) directly on your phone, making text extraction from images effortless. STR represents a no-cost OCR solution designed for text scanning within images. Key Attributes of the Smart Text Recognizer OCR: ٭ Extraction of text from images ٭ Archive of scanned image history ٭ Editing, copying, and sharing of extracted text ٭ Dark Mode for user preference The OCR function of the Smart Text Recognizer encompasses a diverse range of languages, covering more than 100 options. The app automatically detects the language within your images. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy: https://sites.google.com/view/kgspolicy/privacy-policy
  • Apple App Store
  • Gratuitos
  • Serviços básicos

Ranking da Loja

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Text Extractor (OCR) versus OCR - Image to Text Extract comparação de classificação

Compare a tendência de classificação de Text Extractor (OCR) nos últimos 28 dias versus OCR - Image to Text Extract

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Text Extractor (OCR) VS.
OCR - Image to Text Extract

janeiro 4, 2025