Launched this week
Kokori

Kokori

Transform text to speech with a powerful macOS app

77 followers

Kokori TTS app for macOS: Transform text to speech with a powerful local API server & desktop app. High-quality voices, speed control, and seamless menubar integration. Generate audio via the API for your applications, or use the desktop interface to generate audio for podcasts, tiktok/instagram voice-overs and sound-bites.
Kokori gallery image
Kokori gallery image
Kokori gallery image
Kokori gallery image
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Launch tags:APIMenu Bar AppsAudio
Launch Team
Anima - OnBrand Vibe Coding
Design-aware AI for modern product teams.
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What do you think? …

Jack Callow
Kokori was built as a result of burning through elevenLabs credits when developing projects locally. I did not want to pay for every time I tested TTS generation worked in my app before moving over to a paid production ready solution. Kokori runs an API server which accepts text, voice & speed parameters to respond with an audio file. Additionally - it offers a desktop application UI to manually generate TTS audio files, view detailed logs, see previously generated audio files and manage settings.
Ksenia Sh

That is a cool idea! Are you planning to add more voices (german for example)?

Congrats on the launch!

Jack Callow

Hi @ksenia_sh 

The underlying TTS model does not have support for German dialect/accent voices. In future, if the model improves or releases new versions I can update the app.

Ksenia Sh

@jack_callow i see, thanks for the info!

Piroune Balachandran

Every time I stub out a TTS call during dev, I either mock it or burn real credits. Kokori running a local API server with the same text/voice/speed params means I can iterate on the integration logic without touching ElevenLabs until I'm ready for prod.

Jack Callow

Hi @piroune_balachandran 

That's the exact problem Kokori aims to solve. Hope you find it useful!

S.S. Rahman

What is the underlying technology or API being used for converting from text to speech?

Jack Callow

Hi @syed_shayanur_rahman 

Under the hood it's using an open source model with a similar name.
I'll leave it ambiguous just to avoid clones of the app but a search on huggingFace should find it.