This work has been accepted at Interspeech 2026!
Come visit the @argmax booth in Sydney this September to learn about our other advancements in speech and speaker recognition.
This is what context does to your speech-to-text system!
Our new paper studies the impact of contextual information on the accuracy of leading open-source and proprietary systems.
Argmax Pro SDK 2.1.4 is in stable release!
- All dependencies are removed
- Download APIs are upgraded with various features and robustness improvements
Argmax now runs on Google Tensor TPU, the first-ever SDK to harness this edge inference accelerator!
Tensor TPU enabled us to deploy billion-scale transformers reliably on Pixel phones without impacting battery life or resource contention with traditional workloads.
Argmax now runs on Google Tensor TPU, the first-ever SDK to harness this edge inference accelerator!
Tensor TPU enabled us to deploy billion-scale transformers reliably on Pixel phones without impacting battery life or resource contention with traditional workloads.
Q: How do I add support for Tensor TPUs in my app?
A: The next release of Argmax Pro SDK Kotlin will generate TPU-optimized Parakeet models.
Q: What are the code changes I need to make?
A: Installation and Google Play integration remain the same as before. No code changes
Argmax OSS Swift hits 1.0!
- Swift 6 compatibility
- Now dependency-free to streamline Enterprise procurement, minimize conflicts and security risks
- Renames the package to argmax-oss-swift, consolidating WhisperKit, SpeakerKit and TTSKit
- Battle-tested in production on
Argmax OSS (formerly WhisperKit) just crossed 10M monthly on @huggingface!
- First ever Apple Silicon-only model to cross 10M
- Usage grew 10x in ~100 days
- Free, MIT Open-source and pure Swift
We are thrilled that WhisperKit reached 1 million monthly on @huggingface!
- First ever Apple Silicon-only model to reach 1M
- Usage grew 10x in 2025
- Free, MIT open-source and pure-Swift
Google just published a blog post on the real-world commercial adoption of their new on-device inference runtime, LiteRT!
Heidi Health and Argmax are highlighted as the prime example of running medical transcription on Android devices, improving reliability, speed, and privacy
Argmax Pro SDK is first-in-market to run frontier speech models on Android devices while leveraging the previously untapped accelerators such as Edge TPUs (eTPU) on Google Pixel phones.
WhisperKit is now Argmax OSS!
As part of our continued commitment to open-source, we are releasing part of Argmax Pro SDK, extending WhisperKit beyond speech-to-text.
Argmax OSS now includes:
- SpeakerKit: Add speaker info to your transcripts with the fastest implementation of
SpeakerKit
We launched SpeakerKit last year as part of Argmax Pro SDK. We published a research paper to demonstrate that SpeakerKit is the fastest Pyannote implementation, with verified accuracy parity across 13 datasets: isca-archive.org/interspeech_20…
SpeakerKit Pro has reached
WhisperKit
WhisperKit is now 26 months old, and it recently crossed 6,000,000 monthly downloads: huggingface.co/argmaxinc/whis…
It remains the most reliable implementation of Whisper on Apple Silicon, running Large v3 Turbo in real-time on iOS used by developers and Enterprises in
This is what context does to your speech-to-text system!
Our new paper studies the impact of contextual information on the accuracy of leading open-source and proprietary systems.
