Omnilingual Asr

Speech recognition for 1,600+ languages sits in one system. Omnilingual Asr is an AI speech-to-text and transcription tool that covers those native languages and reaches 5,000+ through few-shot prompts, using LLM-enhanced decoders.

You run one deployment for many languages, which lowers operating costs compared with maintaining a separate model for each.

It also includes language identification, and new languages can be added with minimal labeled data.

Omnilingual Asr can be used as open-source models or through cloud APIs.

Typical uses are global captioning and multilingual assistants, and it opens speech technology to low-resource communities that rarely get it.

Word Error Rate drops significantly against earlier models.

Error rates can still be high on some low-resource languages, and the decoder can hallucinate when it leans too hard on language priors.

Few-shot works, but more labeled audio gives steadier Character Error Rate for a new language.

The proprietary cloud APIs are usage-priced and come with their own data governance terms.