Hey everyone.
Imagine you're in a massive meeting with20 people.
Everyone is talking at once and you needa perfect transcript that knows exactly
who said what the moment they say it.
Usually, that's expensive and slow.
But today, Meta just changed the game.
Meta Superintelligence Labs has officially launched Muse Voice Transcribe.
This is a brand new audio perception
model that handles streamingtranscription and speaker diarizationfor over 20 people simultaneously.
The most shocking part?
The price.
Meta is offering this for just $0.
18 per hour of processed audio.
To put that in perspective, competitors
like AssemblyAI or Deepgram can cost twoto three times more when you add inspeaker identification.
Muse isn't just cheap, it's smart.
It processes audio in tiny80-millisecond chunks using a trickcalled adaptive delay.
It can wait a split second if the speech
is messy or commit immediately if it'sclear.
It supports over 70 languages andhandles things like code-switching where
people jump between languages in onesentence.
Now, is it a world record?
Not quite.
Speechmatics can handle up to 100speakers and Amazon Transcribe handles30.
But for most businesses building meeting
20 speakers is plenty.
Plus, Meta is topping the charts for accuracy.
In recent benchmarks from Artificial
Analysis, Muse hit a 3.
1% word error rate beating out rivals like OpenAI, Google, and ElevenLabs.
It's also leading in diarization
accuracy, which means fewer mistakes in figuring out who is talking.
While there are some tradeoffs like no
word-level timestamps yet, the valuehere is incredible.
For enterprise developers, this is amassive win for building live AI
assistants and meeting tools withoutbreaking the bank.
Meta is making high-end voice AIaccessible to everyone.
What do you think?
Is 18 cents an hour low enough to changehow your company uses AI?
Let me know in the comments.
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