Listnr Adds 2,000+ New Text to Speech Voices

Listnr Adds 2,000+ New Text to Speech Voices

Listnr just added 2,089 new text to speech voices. The public shorthand is 2,000+. They cover 100+ languages, and the split is lopsided on purpose. English accounts for 763 of them. Portuguese, French, Arabic, Korean, Japanese, Hindi, and Spanish each clear 100. The voices already in Listnr stay put. This drop fills the gaps where one accent was doing the work of a whole country.

The short version

If you only remember one thing: pick the accent that matches the listener, then audition two or three voices on the same paragraph. The catalog will not do that for you.

Where the new voices actually are

The new voices cover 100+ languages. Depth still matters more than a long language list. A language with eight voices is a start. A language with a hundred, split by region, is something you can cast from. The table shows the languages where that choice is deepest.

A few of those rows are thin. Czech and Javanese are real, and they are small next to English. The table is the deep end of a 100+ language drop, so a language that is not listed can still be in the library.

The gender mix is close to even: 1,066 female, 966 male, and 57 neutral. That last group is small, so if you need a neutral read, search for it directly instead of hoping it turns up while you scroll.

Built for a job, not just an accent

Accent gets you in the right room. The role decides whether the voice can stay there.

The biggest share of this drop is built for product and support work: phone agents, tech support, concierges, and other voices that have to sound steady on a short, functional line. The next largest share is content and media. That is narration, hosts, and training reads. After that come conversational and teaching voices, then a smaller set aimed at ads and marketing. Wellness and game-style reads exist, but they are the minority. Do not expect this drop to be a costume closet of characters.

In practice, the roles you can cast include:

1. Customer support and call-center reads that stay calm on a policy line
2. Explainers and instructional hosts, including cooking and training delivery
3. Ad reads and commercial pitches
4. Documentary and story narration
5. Tutors, teachers, and lesson audio
6. Podcast and radio hosts

Two voices can share an accent and still fail different scripts. A financial-advisor delivery will flatten a joke. A cooking-show host will sound strange reading a refund policy. Match the job before you fall in love with a sample.

How to pick one without auditioning all 2,089

Open Listnr Studio, filter by language, then by accent. If the picker gives you gender, use it. Then ignore the rest of the grid and do this:

1. Write one paragraph you will actually publish. Include a name, a number, and a sentence you care about. A generic "hello, welcome" sample hides the problems.
2. Generate that same paragraph on two or three finalists. Same text, back to back.
3. Listen for the last sentence and for anything spelled in a weird way. That is where pace drifts and pronunciations break.
4. Keep the take you would let a customer hear. If you are unsure, you are not done.

A bigger library makes the wrong habit worse. People demo twelve voices, get tired, and ship the third one. Cap the audition. Three serious listens beat a half-hour of scrubbing the waveform.

What a larger catalog does not fix

More voices do not repair a bad script. Numbers, abbreviations, and brand names still need a human ear. "St." can be a saint or a street. A version number can be read as a date. Write those out when the read has to be exact.

They also do not replace voice cloning. If the job is your own voice, or a specific person you have rights to clone, use cloning. These 2,089 are ready-made voices with set accents and roles. They will not become someone else because you liked the accent.

Commercial use still follows the plan. Paid Listnr plans include commercial usage rights, so a YouTube video, an ad, or a course can use the audio without a separate royalty. Check the plan you are on before you put a take in market. Then listen once more. Rights do not fix a misread name.

And the API path is the same path as before. If you already generate speech from your product through Listnr, these voices are part of the library you call. You do not need a second integration to reach them.

FAQs

How many new text to speech voices did Listnr add?

2,089, across 100+ languages. Headlines round the voice count to 2,000+. They are an addition to the voices already in Listnr.

Which languages got the new voices?

100+ languages. English is the deepest group, at 763 voices, with regional American, British, Indian, Irish, South African, Canadian, Australian, and New Zealand accents. Portuguese, French, Arabic, Korean, Japanese, Hindi, and Spanish each have more than 100 new voices.

Are older Listnr voices still available?

Yes. Nothing in this drop removes a voice you already use.

Can I use the new voices on YouTube and in ads?

Paid plans include commercial usage rights, which covers monetized video, ads, and courses. Generate the real script, listen for names and numbers, and only then export.

How do I narrow a library this large?

Language, then accent, then the job: support, ad, narration, lesson, or podcast. Run the same short paragraph on two or three finalists. Stop there.

Do I have to change how I generate audio?

No. In Listnr Studio you paste a script, choose the voice, and download MP3 or WAV. Teams already using the Listnr text to speech API reach the new voices through that same library.

What to do with them

If one general voice has been covering every market you publish in, retire that shortcut. A Cape Town read, a Montreal French read, and a Haryanvi Hindi read are different jobs, and this library finally has enough of each to cast them. Pick the accent your listener actually speaks, test three voices on the paragraph that matters, and ship the one that survives the second listen.