Acknowledgements

What Fraze is built on.

The Fraze desktop app ships the open-source software and models below, each under its own license. This list covers what actually ships; it does not cover this website.

Bergamot translator and Firefox Translations models

MPL-2.0

The on-device translation engine, run as WebAssembly in a background thread. The translation model files are the ones Firefox ships, from Mozilla's Firefox Translations project.

Source

OpenAI Whisper base

MIT

The model the free audio language detector runs in your browser, loaded with transformers.js (Apache-2.0).

Source

sherpa-onnx

Apache-2.0

Runs speech recognition (the speech models below) and voice activity detection on-device.

Source

NVIDIA Parakeet TDT 0.6B v3

CC-BY-4.0

The speech recognition model for the 25 European languages, per its model card. Fraze downloads a quantized copy of these weights on first use; see the model card for the license that governs them.

Source

NVIDIA Parakeet TDT-CTC 0.6B Japanese

CC-BY-4.0

The speech recognition model for Japanese, per its model card. Fraze downloads a copy of these weights the first time it needs them; see the model card for the license that governs them.

Source

SenseVoice Small

FunASR Model License

By FunAudioLLM, Alibaba Group. One of the speech recognition models Fraze uses for Chinese, Korean and Cantonese. Fraze downloads a copy of these weights the first time it needs them, under the FunASR Model License, which asks that the source and the model name be kept.

Source

Qwen3-ASR 0.6B

Apache-2.0

By the Qwen team, Alibaba. One of the speech recognition models Fraze uses for Chinese, Korean and Cantonese. Fraze downloads a copy of these weights the first time it needs them.

Source

Zipformer Vietnamese speech recognition (viet_iter3_pseudo_label)

Apache-2.0

By zzasdf, trained on about 70,000 hours of Vietnamese. The speech recognition model for Vietnamese. Fraze downloads the copy converted for sherpa-onnx (csukuangfj/sherpa-onnx-zipformer-vi-int8-2025-04-20 on Hugging Face) the first time it needs it.

Source

Zipformer Thai speech recognition (icefall-asr-gigaspeech2-th-zipformer-2024-06-20)

Apache-2.0

By yfyeung, trained on the Thai part of GigaSpeech 2. The speech recognition model for Thai. Fraze downloads it from Hugging Face the first time it needs it.

Source

Silero VAD

MIT

Detects when someone is speaking, so Fraze knows where to start and end a caption.

Source

ONNX Runtime

MIT

Runs the ONNX models sherpa-onnx and Bergamot use.

Source

opencc-js

MIT

Writes Cantonese captions in Traditional Chinese characters. Its conversion dictionaries come from the OpenCC project, under Apache-2.0.

Source

Electron

MIT

The application shell Fraze is built on.

Source

DM Sans

OFL-1.1

The typeface used throughout the app.

Source

country-flag-icons

MIT

Flag icons used in the language pickers.

Source