Meta's Omnilingual ASR is an open-source (Apache 2.0) speech recognition model supporting 1,600+ languages. It uses an LLM-based architecture that can be extended to new languages with just a few in-context examples, without retraining.
Meta FAIR just open-sourced the ASR model that supports 1,600 languages. (Yes you read that right, 1,600.)
It's released under an Apache 2.0 license and covers almost every low-resource language you can think of. No matter what voice app you're building, this could be a powerful supplement to your main ASR model, letting you reach a much wider audience.
Language connects the world, but so many smaller languages are disappearing. Meta also turned the dataset into an interactive language exploration map where you can listen to the languages. It's a great way to experience the world's linguistic diversity.
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About Omnilingual ASR on Product Hunt
“Advancing automatic speech recognition for 1,600+ languages”
Omnilingual ASR launched on Product Hunt on November 11th, 2025 and earned 133 upvotes and 2 comments, placing #10 on the daily leaderboard. Meta's Omnilingual ASR is an open-source (Apache 2.0) speech recognition model supporting 1,600+ languages. It uses an LLM-based architecture that can be extended to new languages with just a few in-context examples, without retraining.
Omnilingual ASR was featured in Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 100.9k products, making this a competitive space to launch in.
Who hunted Omnilingual ASR?
Omnilingual ASR was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Omnilingual ASR stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
Meta FAIR just open-sourced the ASR model that supports 1,600 languages. (Yes you read that right, 1,600.)
It's released under an Apache 2.0 license and covers almost every low-resource language you can think of. No matter what voice app you're building, this could be a powerful supplement to your main ASR model, letting you reach a much wider audience.
Language connects the world, but so many smaller languages are disappearing. Meta also turned the dataset into an interactive language exploration map where you can listen to the languages. It's a great way to experience the world's linguistic diversity.