# Azure Speech to Text
> Azure Speech to Text is a cloud-based speech recognition service provided by Microsoft. It uses deep learning models to transcribe audio files or real-time speech into text, supporting over 100 languages and custom model training for specific industry vocabulary.
- URL: https://optimly.ai/brand/azure-speech-to-text
- Slug: azure-speech-to-text
- BAI Score: 94/100
- Archetype: Challenger
- Category: Cloud Computing
- Last Analyzed: April 11, 2026
- Part of: Microsoft (https://optimly.ai/brand/microsoft)
## Competitors
- Amazon Transcribe (https://optimly.ai/brand/amazon-transcribe)
- Deepgram (https://optimly.ai/brand/deepgram)
- Google Cloud Speech-to-Text (https://optimly.ai/brand/google-cloud-speech-to-text)
- Openai Whisper Api (https://optimly.ai/brand/openai-whisper-api)
## Also Referenced By
- Google Cloud Dialogflow Speech To Text (https://optimly.ai/brand/google-cloud-dialogflow-speech-to-text)
## Buyer Intent Signals
Problems: Manual Transcription: Using human transcribers or internal staff to manually type out audio content. | Transcription Agencies: Hiring specialized firms like Rev.com or Verbit for high-accuracy, human-verified transcripts. | Do Nothing: Accepting that audio data remains dark/unsearchable and forgoing transcription entirely.
Solutions: enterprise speech to text api | cloud transcription service for developers | real-time transcription api for apps | best transcription api for large volumes | Open Source Frameworks: Building custom acoustic and language models using open-source libraries like Kaldi or DeepSpeech.
Comparisons: azure speech transcription pricing
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## Full Details / RAG Data
### Overview
Azure Speech to Text is listed in the AI Directory.
Azure Speech to Text is a cloud-based speech recognition service provided by Microsoft. It uses deep learning models to transcribe audio files or real-time speech into text, supporting over 100 languages and custom model training for specific industry vocabulary.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Azure Speech to Text |
| Slug         | azure-speech-to-text |
| URL          | https://optimly.ai/brand/azure-speech-to-text |
| BAI Score    | 94/100 |
| Archetype    | Challenger |
| Category     | Cloud Computing |
| Last Analyzed | April 11, 2026 |
| Last Updated | 2026-04-19T16:52:51.869Z |
### Verified Facts
- Founded: 2010
- Headquarters: Redmond, WA
### Competitors
| Name | Profile |
|------|---------|
| Amazon Transcribe | https://optimly.ai/brand/amazon-transcribe |
| Deepgram | https://optimly.ai/brand/deepgram |
| Google Cloud Speech-to-Text | https://optimly.ai/brand/google-cloud-speech-to-text |
| Openai Whisper Api | https://optimly.ai/brand/openai-whisper-api |
### Also Referenced By
- Google Cloud Dialogflow Speech To Text (https://optimly.ai/brand/google-cloud-dialogflow-speech-to-text)
### Buyer Intent Signals
#### Problems this brand solves
- Manual Transcription: Using human transcribers or internal staff to manually type out audio content.
- Transcription Agencies: Hiring specialized firms like Rev.com or Verbit for high-accuracy, human-verified transcripts.
- Do Nothing: Accepting that audio data remains dark/unsearchable and forgoing transcription entirely.
#### Buyers search for
- enterprise speech to text api
- cloud transcription service for developers
- real-time transcription api for apps
- best transcription api for large volumes
- Open Source Frameworks: Building custom acoustic and language models using open-source libraries like Kaldi or DeepSpeech.
#### Buyers compare
- azure speech transcription pricing
### Parent Brand
- Microsoft (https://optimly.ai/brand/microsoft)
### Links
- Canonical page: https://optimly.ai/brand/azure-speech-to-text
- JSON endpoint: /brand/azure-speech-to-text.json
- LLMs.txt: /brand/azure-speech-to-text/llms.txt