TTSReader reads out loud texts, webpages, pdfs & ebooks with natural sounding voices. Works out of the box. No need to download or install. No sign in required. Simply click 'play' and enjoy listening right in your browser. TTSReader remembers your text and position between sessions, so you can continue listening right where you left. Recording the generated speech is supported as well. Works offline, so you can use it at home, in the office, on the go, driving or taking a walk. Listening to textual content using TTSReader enables multitasking, reading on the go, improved comprehension and more. With support for multiple languages, it can be used for unlimited use cases.

We facilitate high-quality natural-sounding voices from different sources. There are male & female voices, in different accents and different languages. Choose the voice you like, insert text, click play to generate the synthesized speech and enjoy listening.


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TTSReader extracts the text from pdf files, and reads it out loud. Also useful for simply copying text from pdf to anywhere. In addition, it highlights the text currently being read - so you can follow with your eyes. If you specifically want to listen to websites - such as blogs, news, wiki - you should get our free extension for Chrome

Text-to-speech goes by a few names. Some refer to it as TTS, read aloud, or even speech synthesis; for the more engineered name. Today, it simply means using artificial intelligence to read words aloud be; it from a PDF, email, docs, or any website. Instantly turn text into audio. Listen in English, Italian, Portuguese, Spanish, or more and choose your accent and character to personalize your experience.

AI has made significant progress in synthesizing voices. It can pick up on formatted text and change tone accordingly. Gone are the days where the voices sounded robotic. Speechify is revolutionizing that.

Once you install the TTS mobile app, you can easily convert text to speech from any website within your browser, read aloud your email, and more. If you install it as a browser extension, you can do just the same on your laptop. The web version is OS agnostic. Mac or Windows, no problem.

My understanding is there should be a way to use Evernote to read text back in a computer voice (so I can hear what I have written). However, I cannot for the life of me find it, and I have been looking.

Convert audio to text from a range of sources, including microphones, audio files, and blob storage. Use speaker diarisation to determine who said what and when. Get readable transcripts with automatic formatting and punctuation.

Tailor your speech models to understand organization- and industry-specific terminology. Overcome speech recognition barriers such as background noise, accents, or unique vocabulary. Customize your models by uploading audio data and transcripts. Automatically generate custom models using Office 365 data to optimize speech recognition accuracy for your organization.

Hi. Evernote doesn't have a text reader as such, because there are a good number of independent apps as well as Android and OS features that will do the job. You'll need to search with the OS version of your phone to get a suitable app.

That is an awesome plugin! Just tested it and it is working really well in various languages. I forgot about the Webspeech API, which is a much better option that an exteral API.

It coul use some improvement like some options to adjust the look an feel.

Yes, I'd prefer the fit it in a single button, so it takes up less space.

I'd add it as an extra button next to a text area so people have a choice of typing or speaking.

But that would fit my use case of course.

Utilizing a Retool app to live transcribe speech to text via services like OpenAI or AssemblyAI is an interesting concept. It's definitely a great Show & Tell idea. Allocating more time to troubleshoot and experiment further might be worthwhile in achieving this AI Text to Speech integration.

The June update that messed with the default voice for text to speech had me fiddling with the settings, and when I messed with the tone slider, Scrivener just quit doing text to speech at all. I tried changing settings to no avail, restarted the program, and even rebooted and it has stayed broken. Even when I push the "speak" button in settings, the status bar stays blank. It seems like it is no longer able to invoke TtS at all.

You can continue to edit the captions, find and replace text, and navigate to specific portions of your video by selecting the words in the Captions tab or directly through your Program Monitor.


Speechnotes is a powerful speech-enabled online notepad, designed to empower your ideas by implementing a clean & efficient design, so you can focus on your thoughts.We strive to provide the best online dictation tool by engaging cutting-edge speech-recognition technology for the most accurate results technology can achieve today, together with incorporating built-in tools (automatic or manual) to increase users' efficiency, productivity and comfort.Works entirely online in your Chrome browser. No download, no install and even no registration needed, so you can start working right away.

Speechnotes is especially designed to provide you a distraction-free environment.Every note, starts with a new clear white paper, so to stimulate your mind with a clean fresh start. All other elements but the text itself are out of sight by fading out, so you can concentrate on the most important part - your own creativity.In addition to that, speaking instead of typing, enables you to think and speak it out fluently, uninterrupted, which again encourages creative, clear thinking. Fonts and colors all over the app were designed to be sharp and have excellent legibility characteristics.

Speechnotes is powered by the leading most accurate speech recognition AI engines by Google & Microsoft. We always check - and make sure we still use the best. Accuracy in English is very good and can easily reach 95% accuracy for good quality dictation or recording.

Super private - no human handles, sees or listens to your recordings! In addition, we take great measures to protect your privacy. For example, for transcribing your recordings - we pay Google's speech to text engines extra - just so they do not keep your audio for their own research purposes.

We at Speechnotes, Speechlogger, TextHear, Speechkeys value your privacy, and that's why we do not store anything you say or type or in fact any other data about you - unless it is solely needed for the purpose of your operation. We don't share it with 3rd parties, other than Google / Microsoft for the speech-to-text engine.

The Speech service allows you to convert text into synthesized speech and get a list of supported voices for a region by using a REST API. In this article, you'll learn about authorization options, query options, how to structure a request, and how to interpret a response.

Use cases for the text to speech REST API are limited. Use it only in cases where you can't use the Speech SDK. For example, with the Speech SDK you can subscribe to events for more insights about the text to speech processing and results.

The text to speech REST API supports neural text to speech voices, which support specific languages and dialects that are identified by locale. Each available endpoint is associated with a region. A Speech resource key for the endpoint or region that you plan to use is required. Here are links to more information:

You can use the tts.speech.microsoft.com/cognitiveservices/voices/list endpoint to get a full list of voices for a specific region or endpoint. Prefix the voices list endpoint with a region to get a list of voices for that region. For example, to get a list of voices for the westus region, use the endpoint. For a list of all supported regions, see the regions documentation.

You should receive a response with a JSON body that includes all supported locales, voices, gender, styles, and other details. The WordsPerMinute property for each voice can be used to estimate the length of the output speech. This JSON example shows partial results to illustrate the structure of a response:

If you're using a custom neural voice, the body of a request can be sent as plain text (ASCII or UTF-8). Otherwise, the body of each POST request is sent as SSML. SSML allows you to choose the voice and language of the synthesized speech that the text to speech feature returns. For a complete list of supported voices, see Language and voice support for the Speech service.

The Speech to Text service converts the human voice into the written word. The service uses deep-learning AI to apply knowledge of grammar, language structure, and the composition of audio and voice signals to accurately transcribe human speech. It can be used in applications such as voice-automated chatbots, analytic tools for customer-service call centers, and multi-media transcription, among many others.

Request transcription with synchronous or asynchronous HTTP REST APIs, or use WebSockets for efficient, low-latency, high-throughput requests over a full-duplex connection. Send all audio at once or stream continuous audio for live speech recognition. Use SDKs for simplified rapid development in Node, Java, Python, Swift, and many other languages.

IBM Watson Speech to Text technology enables fast and accurate speech transcription in multiple languages for a variety of use cases, including but not limited to customer self-service, agent assistance and speech analytics. Get started fast with our advanced machine learning models out-of-the-box or customize them for your use case. ff782bc1db

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