![]() ![]() Define OCR zones for columns recognition.The created PDF has the text integrated and can thus be searched, copy/pasted, selected.Or scan with your iPhone/iPad and have the scan automatically imported into Textify. Textify analyzes images (or existing PDFs), recognizes text, and creates PDF files with the text integrated such that the files are searchable. That’s a steep price for an app that is only worthwhile if you want to use it all the time.Text recognition (OCR) with professional quality finally made easy, super efficient, and confidential (no server, your data stays on your device). IOS 10.0 in the App Store – you pay just under four euros for this Textify – reading instead of listening gives it up ![]() But then – or to copy spoken text in writing and record it – this is an alternative to listening to voice messages that we have long wanted. In principle, Textify is a good tool, but it is only really useful if the underlying voice messages are spoken in a clearly understandable manner and you actually have no way or no desire to listen to them directly. The speed of the transformations is not super fast, sometimes it is tougher and you can literally watch the transformation word for word. This recording is translated back practically perfectly into the written language as a sound file. If someone mumbles or if there is a lot of background noise, for example from the street, the result is correspondingly worse or difficult to understand.Īs a reference, we can, so to speak, use the professional voice recording of a short podcast, sent to us via Threema. The result depends very much on the quality of the source material, i.e. It works similarly in the other messengers, the app describes each. If a text is longer, the process stops, with ”Continue reading” the rest is also transferred. This can then (since version 1.3) be copied to the clipboard. To do this, you pass such a sound message in WhatsApp via the command forward and share to Textify (> ”Convert with Textify”), select the desired language and then watch how the voice message is converted into text. We are primarily interested in whether the app can be used to convert a voice message into text relatively easily and effectively. ![]()
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