article2audio
Overview
article2audio turns web articles into spoken audio with natural pauses and contextual voice‑over for images. It summarizes tables, explains code, provides two American English voices, and runs as a web app addable to mobile homescreens, offering a Listen page.
From the official site
article2audio.app is an article narration service for publishers and for readers who would rather listen. It turns an HTML post - including its images, tables, code blocks, and footnotes - into a script a person would read aloud, then into audio.
The text above is quoted from this tool’s official website — the vendor’s own words.
Key points from the official site
- Article narration for publishers and readers
- Table summaries
The points above are quoted from this tool’s own website sections and feature lists — vendor copy, not our review.
Official FAQ
- What languages are supported?
- We only support English and have no plans to add other languages soon.
- How many voices are available?
- We currently offer two American English voice options: one male and one female.
- Is there an iOS or Android app?
- Currently there's only a Web app available. But you can add it to your home screen on your phone and it will look and feel similar to a native app.
- How do I listen to articles?
- The easiest way to listen is by clicking the headphones icon after conversion is finished. If you convert many articles, use a podcast app instead: it aggregates all the audio versions in one place. Sign in and open the Listen page to find out how.
- What Web pages can I convert to audio?
- The app works best with articles and blog posts. But you can also enter a URL of any web page and we will try to convert it to audio.
- Is it permissible to share audio files created with article2audio?
- The author of the source material owns the rights of generated audio files. So unless you're the author, you need to get the author's consent to be able to share or distribute audio files or a personal podcast URL feed generated for you by article2audio.
These questions and answers come from the tool’s own structured data, not written by us.