Listen to the app read aloud or read on screen web pages, news articles, long emails, TXT, PDF, DOC, DOCX, RTF, OpenOffice document files, EPUB, MOBI, PRC, AZW and FB2 ebooks and more. It's an HTML reader, document reader and ebook reader all in one, both for reading on-screen, or listening when your eyes hurt, malfunction or are busy elsewhere. ADHD? Read the User Comment below.
“I just wanted to express my thanks for your wonderful app. I am an academic researcher who has A.D.H.D., and @Voice has been amazingly helpful to me. (…) In my case, ADHD manifests with challenges in concentration and focus. When I read on the page, I frequently find myself having to re-read sentences, paragraphs or entire passages upon realizing that I had "zoned out" while reading. (…) these problems are resolved when I use @Voice to "read" written work. The TTS format keeps me on track, because even if I get distracted while listening, the speech continues and I am able to quickly return to the author's overall train of thought. And, thanks to the intuitive interface of @voice aloud (especially the highlighting function) it is easy to back-track if necessary. (…)So, @voice has truly improved my life and prospects. I estimate that your app allows me to read about 10-12 times more than I would otherwise have been able to read, and has certainly improved my ability to edit my own work.”
* Open text, PDF, DOC, DOCX, RTF, OpenOffice documents or HTML files from Android file system for reading aloud.
* Click "Share" or "Send by Email" button/menu item in any app to send text to @Voice Aloud Reader for aloud reading over speakers or a headset.
* When sharing web pages to @Voice, their menus, navigation, ads, other junk are removed, leaving clean text to read or listen.
* If "Share" is not available, copy text in another app and paste it into @Voice for aloud reading.
* Save articles opened in @Voice to files for later listening. Construct listening lists of many articles for uninterrupted listening one after the other. Order the list as needed, e.g. more important articles first.
* Option to instantly read aloud text copied to clipboard.
* EPUB and FB2 ebook formats support. Use "Open" button at the top or on the menu, navigate to a folder with ePub files and open one of them. Read ebooks on screen with their original formatting, images shown, turn pages or read continuously. Or put headphones, turn off the device and listen!
* Correctly handles Chinese and Japanese vertical text (right to left mode) under Android 4.4 and higher, or switch it to horizontal mode if preferred.
* Easily add saved Pocket articles to @Voice reading list - in Read List screen, press Menu - Add articles from Pocket, then read on screen or listen being read aloud.
* Record spoken articles to sound files - WAV (uncompressed) or OGG (compressed) formats supported.
* Long-press word and/or select a longer phrase to view dictionaries, translations, Wikipedia, Web search and more.
* Speech correction for TTS, optionally using Regular Expressions (RegEx)
* Desktop/laptop Google Chrome browser extension to add articles to @Voice reading list with one click.
* Easily control speech generator volume, pitch and rate of speech.
* Pause/resume speech as needed with wired or Bluetooth headset buttons, plus click Next/Previous buttons to jump by sentence, long-click the same buttons to switch to the next/previous article on a list.
* Can automatically recognize the language of an article and use appropriate TTS voice, if available, or set your preferred voices manually with "Select language" menu item.
* Options for additional pause between paragraph, start talking as soon as a new article is loaded or wait for a button press, start/stop talking when wired headset plug is inserted/removed.
* Optional sleep timer to stop speech after a given timeout.
WANT TO BETA TEST NEW RELEASES?
Join @Voice Beta Testing: https://play.google.com/apps/testing/com.hyperionics.avar
* Fix - some articles from Flipboard, possibly other sources too, were not adding to list correctly
* Splitting very long HTML files again for faster operation and to avoid out of memory errors - this time much more robust algorithm than the previous attempt.
* Better text extraction from HTML sources that have text inside