article2audio VS Encyclopedia Dramatica
Compare article2audio VS Encyclopedia Dramatica and see what are their differences
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article2audio
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Encyclopedia Dramatica
article2audio narrates blog posts and articles for the people who publish them.
Give it the URL of an HTML post and it produces audio that sounds like a person read the piece aloud, rather than a voice reading the raw text off the page:
English only, with one male and one female American English voice.
Plans are priced per post rather than per minute: Writer at $19/mo for 10 posts a month, Publication at $59/mo for 40. A post is one article up to 30 minutes of audio.
article2audio Encyclopedia Dramaticaarticle2audio's answer
People who publish writing on the web - newsletter writers, blog owners and small publications - who want an audio version of each post without recording it themselves every week.
The second audience is readers who would rather listen than read. That is who the app was originally built for, and it is still the reason it exists.
article2audio's answer
I built it for myself. I prefer listening to long articles while doing other things, and the text-to-speech apps I tried read the page rather than the piece: tables recited cell by cell, code read out character by character, images skipped in silence.
article2audio started as a way to make my own reading list listenable. It turned into a narration service for the people who write the posts, because they have the same problem once a week rather than once in a while.
article2audio's answer
A Python backend fetches the post and parses the HTML structure. A vision model describes the images. A language model turns the parsed post into a script a person could plausibly read aloud - deciding what to summarise, what to explain and where to pause. A text-to-speech engine renders that script. The web front end is Next.js.
Text to speech is the last step of the pipeline rather than the product.
article2audio's answer
It narrates the post rather than reading the page.
Tables are summarised instead of read cell by cell. Code blocks and pre-formatted text are explained in spoken language rather than spelled out. Images are described, so they stop being silent gaps. Pauses land where the writing pauses - between paragraphs, after headings.
The output is an MP3 and a private podcast feed, so a post can be listened to in a normal podcast app.
article2audio's answer
Most alternatives are voice vendors: you hand them text, they hand back a voice. article2audio takes the URL of an HTML post and does the work that comes before any voice is involved - working out what the tables say, what the code is doing, what the images show, and where the writing wants a pause.
If your posts are plain prose, a text-to-speech tool will do the job. If they contain tables, code, footnotes or figures, that is the part that usually sounds wrong, and that is the part this handles.
Based on our record, article2audio seems to be more popular. It has been mentiond 1 time since March 2021. 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.
Https://article2audio.app/ is my creation. It's a BMW of article readers -- it handles images, tables, preformatted text, and many other nuances of a Web page. I built it to scratch my own itch. I invite you to a free trial. This app can be useful for listeners who want to enjoy articles while driving, in a gym, etc., and for website owners who want to offer an audio version of their articles. - Source: Hacker News / about 2 years ago
Listening.io - Turn articles into audio and listen in your podcast app
Read2Me - Convert your website articles into podcasts
Article Reader AI - Listen to blogs, articles and e-books through our engaging AI voices, trained to deliver unparalleled clarity and human-level emotion.
Woord - Turn the Web into audio using realistic voices
Talkify - Listen to your favorite website aloud or add speech to your own website.
Mockoon - Mockoon is the easiest and quickest way to design and run mock REST APIs. No remote deployment, no account required, free and open-source.