Download software tagged by atampt natural voices

TxReader converts documents into spoken words and MP3. Simply listen to all your documents instead of having to read them yourself. TxReader will read any text given. TxReader will read all your MS Word and PDF documents at the click of a button.

Select text from any program, press hotkey and enjoy clear natural voice! Make your documents, emails, web pages, books and thoughts sound. Set volume, speed and pitch of speech. Create Voice Slots to use different hot keys for different voices.

TxReader converts documents into spoken words meaning you can listen to your electronic documents instead of having to read them. TxReader can read many types of document this includes e-books, web pages, Microsoft word documents and more.

TxReader converts documents into spoken words meaning you can listen to your electronic documents instead of having to read them. TxReader can read many types of document this includes e-books, web pages, Microsoft word documents and more.

Converts any text into spoken words or even MP3/WAVE audio files. 2nd Speech Center is an award-winning text-to-speech player that lets you listen to documents, e-mails or web pages instead of reading on screen.

Hello! I'm Speaking Notepad! I am useful and handy analog of Microsoft Notepad. I can read your documents aloud with various voices, read clipboard content and record voice to MP3 or WAV. I'm sure, we'll become friends!

This is a free and fully functional text-to-speech software with Microsoft Voices. Just one-click, you can have your computer read any part of the news, weather forecast, charting messages, and e-mails.

Text-to-Speech Master is very powerful and interesting program that lets you listen to documents, e-mails or web pages instead of reading on screen or even convert them to audio files!

Power Text to Speech Reader is an award-winning text-to-speech player that lets you listen to documents, e-mails or web pages instead of reading on screen, it uses voice synthesis to create spoken audio from text with natural voices