Murmur: local Mac text-to-speech, $1.1K in 30 days, one-time price

Murmur is a Mac app for local text-to-speech, voice cloning, voice design, and audio projects. Its $1.1K in the last 30 days is verified through the payment provider's API by TrustMRR (Polar), as of September 30, 2026.

What it actually sells

Murmur sells local text-to-speech, voice cloning, voice design, and audio-project software for Mac. The site says, “Generate private, studio-quality text to speech, voice clones, audiobooks, and voiceovers locally on Apple Silicon.”

The app generates speech locally on an Apple Silicon Mac and supports project scripts, speakers, templates, local rendering, and exporting. It can export narration as WAV or M4A audio.

How it charges

Murmur costs $49 USD as a one-time purchase. The site says, “Generate locally without credits, per-word charges, or a monthly subscription.” The price includes unlimited local generation without subscription or per-word fees.

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

Month	Revenue (USD)
2026-04	$1,555
2026-05	$1,403
2026-06	$1,315
2026-07	$1,769
2026-08	$1,078
2026-09	$1,060

Where customers come from

The founder lists Reddit and SEO as growth channels. The site also publishes customer reviews and sample audio, and users can browse and import community voices.

What stands out

Murmur offers multilingual voice output from a library of 860+ voices. Users can create a reusable voice profile from a short recording and import saved voices into a project.

The site says, “Drop your saved voices into a project, edit the script, render clips locally, and export — all in one workspace.” It also lets users browse community voices, preview samples, and import them into Murmur.

From the official site

A cleaner path for podcasts, audiobooks, training, ads, and dialogue with less copy-paste work.

Audio generation runs in the Mac app.

Drop your saved voices into a project, edit the script, render clips locally, and export — all in one workspace.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

Murmur's $1.1K in the last 30 days is higher than 76% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “AI” category (2,328 projects) it is higher than 78% (category median $149). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

My view is that demand would come from podcast, audiobook, video narration, training, advertising, and dialogue creators. These are the named customer groups on the site, and they are the buyers a new product would need to serve.

Distribution would need to come through the founder-listed channels, Reddit and SEO, alongside visible product surfaces such as customer reviews, sample audio, and community voices. Building this would require handling local Mac audio generation, reusable voice profiles, multilingual output, project editing, exports, direct support, and competition in text-to-speech and voice tools.

Verdict: Needs real work.

One thing to take from it

The clearest lesson is to make the pricing and workflow easy to explain: Murmur uses a one-time purchase and keeps generation local, while combining voice creation, project editing, rendering, and export in one Mac workspace.

Sources

Murmur official website, fetched October 1, 2026
TrustMRR: revenue verified through the payment provider's API by TrustMRR (Polar), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure