Omnilingual Asr

✓ verified, sync 2026-08-20

30 checks on record, most recent 2026-11-04 (responded).

PricingPaid

Rating5.0 on Toolify · 50 reviews

Category AI Speech RecognitionAI Speech-to-TextAI TranscriptionAI TranscriberAI TranslateAI Coaching +4

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Address confidence: low. The URL on file may not be Omnilingual Asr's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and Omnilingual Asr itself is not confirmed.

Most recent check 2026-11-04

Result: responded.

Checked on 30 distinct dates, since 2026-08-30. Checked roughly every 1.1 nights on this listing's own record.

2026-11-042026-11-032026-11-022026-10-312026-10-302026-10-292026-10-282026-10-272026-10-262026-10-252026-10-242026-10-23 +18

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-09-29 and no change was observed since.

No approved price events on record

No approved price change is on record.

Features

As listed by the vendor, unedited.

Scales speech recognition to 1,600+ native languages (5,000+ via few-shot prompts)
Language-adaptive encoders for shared speech representations across tongues
LLM-enhanced decoders for grammatically rich text and translations
Integrated language identification for routing mixed-language audio
Balanced training strategies to narrow WER gaps between languages
Flexible deployment as open-source checkpoints or cloud APIs

What it does.

The vendor's own description, unedited, not our claim.

Omnilingual ASR is an advanced automatic speech recognition technology that unifies speech recognition across a vast number of languages, scaling from dozens to over 1,600 natively and extending to 5,000+ via few-shot prompts. It achieves this by combining wav2vec-style self-supervision, LLM-enhanced decoders, and balanced multilingual corpora to learn language-agnostic acoustic patterns. This website serves as a comprehensive knowledge base, detailing its research breakthroughs, current technologies, datasets, implementation strategies, and deployment guidance for achieving omnilingual reach in a single model.

registry ID ndock:tool:omnilingual-asr

More ai speech recognition tools.

Whisper Whisper is a general-purpose speech recognition model developed by OpenAI. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. Whisper uses a Transformer sequence-to-sequence model trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets.