OCR Handwritten 1.8

Naveen Vijay – Freeware – iOS
79 oy

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Handwritten OCR is a powerful tool that allows you to extract handwritten text from various sources such as notes, letters, essays, whiteboards, and forms. By using this technology, you can reduce paper clutter and increase productivity by simply taking photos of your handwritten notes instead of manually transcribing them. The extracted digital notes are then easily searchable, making it effortless to find the information you need.

One of the key features of Handwritten OCR is its ability to work with different surfaces and backgrounds. Whether you have handwritten text on white paper, yellow sticky notes, or even a whiteboard, this tool can accurately detect and extract the text.

The latest update to Handwritten OCR now includes Multi-Language Support, allowing you to change the app language within the app itself. Currently, we support 6 languages: English, Japanese, German, Spanish, Chinese (simplified), and French.

If you prefer listening rather than reading, Handwritten OCR has got you covered. With the built-in read feature, it can read the extracted text for you in over 25 languages.

In addition to extracting text from images, Handwritten OCR also offers other useful functionalities. You can easily edit the extracted text, add additional information or delete unwanted information. Once you are satisfied with the changes, simply save it for future reference. Before saving, you can preview how the edited text will appear. All your saved files are conveniently managed in one place.

Handwritten OCR also keeps a record of all your text extraction results. This extraction history allows you to quickly access past results without the need for rescanning. It provides an easy way to manage and utilize your saved history.

Sharing files is made effortless with Handwritten OCR. With just one click, you can share your saved files with anyone.

Furthermore, Handwritten OCR supports more than 60 languages, providing wide language coverage for users around the world. Some of these supported languages include Afrikaans, German, English, Spanish, French, Italian, Dutch, Polish, Portuguese, Romanian, Turkish, and many more.

Please note that the technology for extracting handwritten text from images is currently in preview and is only available for English text. We are continuously working to expand language capabilities and enhance this feature.

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