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Whisper

✓ verified, sync 2026-08-20

9 checks on record, most recent 2026-10-30 (responded).

PricingPaid
Rating5.0 on Toolify
Category AI Speech RecognitionAI Speech-to-TextAI TranscriberAI TranslateOpen Source AI ModelsAI Browsers +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 Whisper's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and Whisper itself is not confirmed.

Most recent check 2026-10-30
Result: responded.

Checked on 9 distinct dates, since 2026-08-31. Checked roughly every 7.5 nights on this listing's own record.

2026-10-302026-10-282026-10-242026-10-182026-10-122026-09-302026-09-242026-09-182026-08-31

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 2026-10-28 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.

  • Multilingual speech recognition
  • Speech translation
  • Language identification
  • Voice activity detection

What it does.

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

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.

registry ID ndock:tool:whisper

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