Our voice library offers over 720 advanced AI voices across 64 languages. You can even commission a fully custom ethical voice clone to represent your brand.
Auto-convert content using our API, RSS Feed Importer, WordPress plugin, or Ghost plugin, or use our text-to-speech editor to create audio manually.
Distribute audio anywhere with our automatic player embeds, API, or SDKs. Create a podcast feed to publish on platforms like Spotify, Google Podcasts, and Apple Podcasts.
Measure audio engagement to granular detail with our analytics, which can be connected to your Google Analytics account, and use insights to optimize your audio strategy.
Upload audio ads from sponsors, use VAST to connect to programmatic ad platforms like Google Ad Manager or restrict audio access to subscribers only.
No features have been listed yet.
No Every Noice at Once videos yet. You could help us improve this page by suggesting one.
I am Wordpress newbie. BeyondWords plugin works well in my blog website (I am using free version of Vantage theme). No problem at all thus far. Very easy to set up and this plugin read out my website automatically. Read out in Mandarin and English like human being, sweet and professional. I am using free version. Many choices of voice to choose from.
Thanks so much BeyondWords!
Based on our record, Every Noice at Once seems to be a lot more popular than BeyondWords. While we know about 422 links to Every Noice at Once, we've tracked only 3 mentions of BeyondWords. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Create or sign in to your BeyondWords account. - Source: dev.to / almost 2 years ago
Not the one in your example, but I'm currently using https://beyondwords.io/. Source: almost 2 years ago
Just did a quick Google search because I'm sure something like this must exist. This one looked interesting since you can apparently "clone" your voice. So then you can listen to the articles read in your own voice 😅. Source: about 3 years ago
I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / 2 months ago
Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / 3 months ago
The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 6 months ago
This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 7 months ago
Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 7 months ago
Play.ht - AI Voice and Speech Generation tool
Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm
Blogcast - Turn your articles into audio
Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.
Google Cloud Text-to-Speech - Text to speech conversion powered by machine learning
RadioGarden - An interactive map of live radio stations across the globe.