# 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