Both bundles contain quantized versions of the CohereLabs/cohere-transcribe-03-2026 model. The model in JEXXA.dmg is MLX int8 g64 affine quantized. JEXXA-Small.dmg has the same model but MLX int4 g32 affine quantized. There's also an int8 quantized WeSpeaker ECAPA-TDNN speaker-verification ONNX encoder. No acknowledgments for both models (doesn't the Apache 2.0 license require it? WeSpeaker's cc-by-4.0 license certainly does). Both bundles also contain full-blown Python 3.12.8 runtimes with about a dozen packages installed.
Apps are unsandboxed menubar apps and also contain PostHog analytics and Supabase auth. So, I wouldn't run it on any of my machines.
A few engineering hygiene issues like a .pytest_cache directory, Python code, .DS_Store files, etc.
Given the above, I suspect the "I am training better models." is just marketing speak.
One price, indefinitely for the rest of your life. The developer isn't maintaining any infrastructure, there's no ongoing cost whatsoever, so there's no reason for monthly payments.
It's just a static file on your own computer that's burning your own CPU cycles. Sorry, but it just feels a bit greedy to me.
They have development costs to pay for which is substantial. Not sure why you are framing it as greedy and complaining it should be free vs celebrating someone putting this out there.
Thanks.
I don't want my data, especially voice and text to be sent to servers.
That's why I built this.
I love my competitor's product, but the amount of private data I sent over was really uncomfortable to me.
Especially when sometimes it included Phone Numbers and some private info.
At the same time, tools like mine will fall behind if I don't keep updating the models.
We also have better models in training.
Also the underlying system would get faster, the models smaller over time along with grammar correction, in voice commands and better live preview models
Vibe-coded website.
Both bundles contain quantized versions of the CohereLabs/cohere-transcribe-03-2026 model. The model in JEXXA.dmg is MLX int8 g64 affine quantized. JEXXA-Small.dmg has the same model but MLX int4 g32 affine quantized. There's also an int8 quantized WeSpeaker ECAPA-TDNN speaker-verification ONNX encoder. No acknowledgments for both models (doesn't the Apache 2.0 license require it? WeSpeaker's cc-by-4.0 license certainly does). Both bundles also contain full-blown Python 3.12.8 runtimes with about a dozen packages installed.
Apps are unsandboxed menubar apps and also contain PostHog analytics and Supabase auth. So, I wouldn't run it on any of my machines.
A few engineering hygiene issues like a .pytest_cache directory, Python code, .DS_Store files, etc.
Given the above, I suspect the "I am training better models." is just marketing speak.
nb: The demo link without LinkedIn tracking slop: https://www.linkedin.com/posts/sankyde_jexxa-demo-httpsjexxa...
> "Runs on your Mac — no upload, no queue"
> $8/month
My competitor charges more and at the same time the data is being sent to someone else's servers.
Is it just the models I’m paying for, or an app too?
I’ve been using anomalyco/HEX and MacParakeet… which are free and work great for my uses…
It's just a static file on your own computer that's burning your own CPU cycles. Sorry, but it just feels a bit greedy to me.
I love my competitor's product, but the amount of private data I sent over was really uncomfortable to me. Especially when sometimes it included Phone Numbers and some private info.
At the same time, tools like mine will fall behind if I don't keep updating the models.
Edit: You also would get updates for life.