Image to Text : OCR Scanner vs Text Extractor: Image to Text Usage & Stats

Easily convert image to text. This is a powerful app to recognize any text from an image. Features - Image to Text Intelligent OCR text recognition,scan the text from an image taken with your phone's camera or photo gallery. - Accurate recognition Use cloud OCR intelligent recognition engine, fast recognition speed and high accuracy - Intelligent segmentation Intelligent segmentation of recognition results -Document editing and export - The recognized text can be edited and copied - History management The recognized historical files will be stored in an orderly manner, and can be edited any time. - Document security encryption Uploads of pictures, documents, etc. are encrypted, so there is no need to worry about privacy and security issues - Document scanning Support bank card, ID card, invoice, driver's license, driving license, business license, license plate number recognition Subscription instructions: 1. Subscription service: You can choose annual subscription 2. Subscription price: The subscription price depends on the selected subscription package, and the actual price shall prevail 3. Free trial: The free trial period is 3 days. After the free trial subscription ends, it will automatically renew. If you need to cancel the subscription, please cancel 24 hours before the renewal 4. Automatic renewal: Subscription will automatically renew unless you turn off automatic renewal at least 24 hours before the end of the current subscription period Privacy Policy:https://icreamapp.home.blog/2021/03/10/privacy-policy-11/ Terms of Use:https://icreamapp.home.blog/2021/03/10/terms-of-use-2/ If you have any questions or suggestions about our app, please e-mail lilliancream@163.com.We are looking forward to your feedbacks.
  • Apple App Store
  • Free
  • Productivity

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Text Extractor is an OCR text recognition software that integrates functions such as text scanning to text, image to Word, image to Excel, handwriting recognition, document restoration, and more. The recognized text can be saved and shared in formats such as text, Word, Excel, etc., and can be synchronized across multiple devices like mobile phones, tablets, and computers. ------Key Features------ -Text Recognition: Easily recognize text in images or scanned documents and convert it into editable documents. -Image to Word: Convert images into Word documents, accurately preserving formatting and content. -Image to Excel: Convert images into editable Excel spreadsheets. Handwriting Recognition: Convert handwritten fonts into editable Word documents. -Batch Recognition: In addition to single-image recognition, it also supports batch recognition to improve efficiency. -Multi-Language Support: Supports multiple languages including Simplified Chinese, Traditional Chinese, English, Japanese, Korean, French, German, Russian, Spanish, and more. -Document Scanning: Capture documents, intelligently remove cluttered backgrounds, and generate high-definition JPEG and PDF documents for saving and sharing. -File Management: Create folders, categorize, search by tags, cloud storage, and share and view across multiple devices. ------Subscription Details------ Payment: User confirms the purchase and makes payment, which is charged to the iTunes account. Renewal: Apple iTunes account will be charged 24 hours before the expiration, extending the subscription period upon successful payment. Canceling Service: You can cancel automatic subscription services by going to "Settings" on your Apple phone, entering "iTunes Store & App Store," clicking on "Apple ID," selecting "View Apple ID," entering the "Account Settings" page, and clicking on "Subscriptions." To avoid charges, cancel 24 hours before the end of each billing cycle. Privacy Policy: http://www.palmmob.cn/yinsi/wztqyinsiios.html User Terms: http://www.palmmob.cn/yinsi/wztqyonghuiios.html
  • Apple App Store
  • Free
  • Productivity

Store Rank

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Image to Text : OCR Scanner vs. Text Extractor: Image to Text ranking comparison

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Image to Text : OCR Scanner VS.
Text Extractor: Image to Text

December 19, 2024