Azure AI Speech (Speech-to-Text)

Azure AI Speech (Speech-to-Text) is a paid product — published pricing: from $1/hr (standard) and $0.30/hr (batch transcription). Pricing changes; verify on the vendor's own page before budgeting.

Azure AI Speech (Speech-to-Text) runs on API and SDK. It is not listed for other platforms; check the vendor for anything beyond API and SDK.

Azure AI Speech (Speech-to-Text) is used through its API: get a key from the vendor, then call it from your own code. There is no desktop app to install.

Azure AI Speech (Speech-to-Text) lists 100 languages. That is the Whisper-family multilingual set, so quality varies by language — English and the large European languages are strongest.

Custom Speech model training requires labelled data and a separate Speech Studio workflow; some neural features region-locked.

Microsoft-shop teams, Office/Teams integrations, custom-domain speech models via Custom Speech.

No. Azure AI Speech (Speech-to-Text) is a proprietary API from Microsoft Azure. If you need source you can read and run yourself, the open-source tools in this directory are the place to look.

No — Azure AI Speech (Speech-to-Text) is a API and SDK application, not a web app. You install it rather than sign in to it.

Azure AI Speech (Speech-to-Text) is made by Microsoft Azure.

In this directory Azure AI Speech (Speech-to-Text) is filed under commercial api, hyperscaler as a API.

There is a side-by-side page at /tools/azure-speech-alternatives comparing Azure AI Speech (Speech-to-Text) with the closest tools in the same category on price, platform and features.

Yes. If what you want is transcripts rather than the tool itself, Whipscribe does the same job as a hosted API: submit a file or URL, poll a job id, pull the result as txt, json, srt, vtt or docx. $0.012 a minute — about $0.72 an audio hour — bought as credits that never expire. The automation recipes on this site show it wired to Drive folders, Zoom recordings, S3 buckets and no-code platforms.

Azure AI Speech (Speech-to-Text) is another vendor's product; Whipscribe is a per-minute transcription service. Recordings are transcribed on our own servers and never used for training, and every job returns five formats plus an AI summary, quotes and topics. The first 20 minutes of any recording are transcribed free, and a pack from $6 (500 minutes) transcribes the rest and opens every export.

$0.012 a minute — about $0.72 an audio hour — bought as credits that never expire. There is no subscription and no monthly minimum: a 3-hour recording is about $2.16, a thousand-hour archive is about $720 once. The first 20 minutes of any recording are transcribed free, and a pack from $6 (500 minutes) transcribes the rest and opens every export, so you can see what your recording holds before paying anything.

Three things are moving across the whole speech-to-text market right now: summaries, action items and speaker insights generated on top of the transcript rather than sold separately; private, secured deployment where the audio never leaves a boundary you control; and agent access — transcription exposed as a tool that Claude, Cursor or a workflow runner can call directly. Whipscribe ships all three today: per-job insights, our own servers, and an MCP server.