How to Listen to RSS Feeds Aloud

Most RSS readers are built to skim headlines and read text on screen. Text-to-speech is not a feature the market has demanded from them, so developers have not invested in it. A few apps have tried: Voice Dream Reader on iOS can import RSS feeds and read articles aloud, and it does a decent job. But it is the exception, and even then the voice quality is tied to whatever system voices Apple makes available through the older speech API.

The result is that RSS reading and TTS listening are two separate tools, and the workflow that bridges them is the export step. It is not seamless, and it is honest to say so. You do a few seconds of manual work per article in exchange for natural voices, offline playback, and privacy.

You need three pieces, and all of them are free:

1. An RSS reader. NetNewsWire is free, open source, and native on both Mac and iPhone. It syncs feeds privately via iCloud. Reeder is a paid alternative with a polished design. Either one works. Add your feeds and skim headlines as you normally would.
2. Safari Reader view. When you find an article worth listening to, tap the Reader button in Safari's address bar. This strips the page down to the article text and images, removing navigation, ads, and sidebars.
3. LoudReader on iPhone or Mac. Export the Safari Reader page as a PDF. On Mac: File then Export as PDF. On iPhone: share button, Print, pinch outward to open as PDF, save or share to LoudReader. Import the PDF and press play.

This three-tool chain feels like more work than it actually is. After the second or third article, it becomes muscle memory. The entire sequence takes about 15 seconds per article.

Whatever text Safari Reader view extracts is what you hear. If the RSS feed sends the full article text, Safari Reader captures it all, and LoudReader reads the entire piece. If the feed only sends a summary (a headline and a paragraph with a "read more" link), that summary is what Safari sees and what LoudReader reads.

Most news sites and blogs that care about RSS send full-text feeds. Sites that truncate their feeds usually do it to drive clicks to the website. For those, you need to open the article link in Safari separately, wait for Reader view to activate, and export from the full article page. It adds one extra step but still works.

The RSS-to-audio pipeline with LoudReader is unusually private for a listening workflow, and the privacy comes from three layers:

• The RSS reader. NetNewsWire fetches feeds directly from the source with no intermediary server. There is no account, no analytics, and no tracking. Your feed list stays on your device.
• The export step. Safari exports a local PDF. No URL is sent to any service. The PDF is created offline on your device.
• LoudReader. The app is fully on-device and private, your library never leaves your device. There is no account, no cloud processing, and no analytics. Your article queue is as private as a stack of printed pages on your desk.

Compare this to a cloud TTS service that receives every article URL you send, extracts the text on a server, and stores your reading history. For professionals reading industry news, competitive analysis, or anything they would rather not have profiled, the manual workflow is the private one. For more on the privacy model, see private text-to-speech with no cloud.

A few apps try to combine feed reading and TTS into one product. Voice Dream Reader on iOS does RSS plus TTS. Pocket has a listen feature for saved articles, though the voice is limited and the processing happens on Pocket's servers. Speechify can ingest articles from a URL. All of these are cloud-based and require accounts.

The separated workflow (RSS reader plus LoudReader) is not as integrated. You manage feeds in one app and listen in another. The tradeoff is that both apps are native, private, and offline. For some people, the integration is worth the privacy cost. For others, the privacy is worth the manual step. Pick the tradeoff that fits your threat model. For more on the offline angle, see listening to articles on Mac.