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Automator • Text to Audio Track
http://www.automator.us/leopard/examples/ex07/index.html
Launch Automator, and create the following workflow. The first action gets the contents of the clipboard, then passes the results to the next action which renders the passed text to an audio file using the built-in text-to-speech capabilities of Mac OS X. The next two actions in the workflow import the audio file into iTunes and add the newly ...
Convert Text to an Audio File with Mac’s Automator ...
https://www.annenbergdl.org/tutorials/convert-text-to-an-audio-file-with-macs-automator/
1 – Open Automator and Create a New Service. Automator is built into Mac OSX. Go up to FILE > NEW and it will bring up your options. Pick SERVICE and hit CHOOSE. Top ↑. 2 – Choose “Text to Audio File” & Drag It Over. By default your service description should read Service receives selected text in any application.
macos - Use Automator to get content of text files in ...
https://stackoverflow.com/questions/51757288/use-automator-to-get-content-of-text-files-in-finder
I'm trying to create an automator-app which I can drop a finder-folder in it. It needs to filter all (thousands off) txt files and pass the contents to "Text to Audio File" But the only available action is Get Contents of TextEdit document, and this is …
Rendering text-to-speech files
https://www.macworld.com/article/219170/rendering_text_to_speech_files.html
Choose Text from the Library pane and from the Actions pane to the right, drag Get Contents of TextEdit Document to the workflow area. …
Automator - Examples
http://automator.us/examples-03.html
This action will return a reference to the AIFF audio file copied to the newly created folder. Step 3: Compress the audio file. Podcast audio files are typically posted as MPEG audio files in either MP3 or MPEG 4 format. You can use Automator and QuickTime Pro to compress the AIFF file to a much smaller streamlined AAC file (MPEG 4).
shell - Read a text file with Automator.app line by line ...
https://stackoverflow.com/questions/24853112/read-a-text-file-with-automator-app-line-by-line
@jm666 The Automator would do: 1. get next line from a file (1st at start) 2. copy the line to clipbard 3. Do all the remaining task in the workflow (This has been completed by me, no issue here) 4. Loop (Automatically by count, also completed by me, no issue here)
automator - automate file text edits - Ask Different
https://apple.stackexchange.com/questions/291577/automate-file-text-edits
Therefore I need to edit all website html files (100+ files) to update the URL links inside each file of this website. I'm thinking of making an off-line copy of the website files to edit. Is it possibile to use Automator OS X to - open each file in the website file folder - search inside the file content for a specific URL link (say "www ...
Free Text to Speech Online with Natural Voices
https://www.naturalreaders.com/online/
Natural Reader is a professional text to speech program that converts any written text into spoken words. The paid versions of Natural Reader have many more features. If you are interested in using our voices for non-personal use such as for Youtube videos, e-Learning, or other commercial or public purposes, please check out our Natural Reader ...
MacOS Automator: Save new text file in current folder ...
https://apple.stackexchange.com/questions/290834/macos-automator-save-new-text-file-in-current-folder
The following Automator workflow works with selected Finder items in Finder's frontmost window, or the Desktop as appropriate if no other individual Finder windows are frontmost with a selection, and using a Run AppleScript action sets a variable to the parent folder of the first item selected to be used as the Where: in a New Text File action ...
MP3 to Text - Auto Transcribe MP3 Files Online - VEED.IO
https://www.veed.io/tools/audio-to-text/mp3-to-text
Convert Your MP3 Into Text Files Online. Do you want to transcribe a speech from your MP3 file into a text file? You can use VEED’s online auto transcription tool! It is fast and incredibly easy to use. Say goodbye to manually typing audio transcriptions that could take hours, and say hello to automatic transcriptions that take only a few clicks.
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