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**Are there any tools that leverage the Google Speech API to transcribe audio files?**
Google Cloud's Speech-to-Text API can transcribe audio files in real-time, making it useful for applications like live captioning and dictation.
The API supports a variety of audio formats, including WAV, FLAC, and MP3.
Speech-to-Text API can distinguish between multiple speakers in a single audio file, making it ideal for transcribing interviews and meetings.
The API uses Google's machine learning algorithms to improve its accuracy over time, resulting in more accurate transcriptions.
Speech-to-Text API supports over 120 languages and variants, including Spanish, French, and Mandarin.
The API allows users to customize their transcription settings, such as word timing and diarization.
The API also supports punctuation and capitalization, making the transcribed text easier to read.
Speech-to-Text API enables users to redact sensitive information from their transcriptions, ensuring privacy and security.
The API automatically detects and transcribes spoken numbers, dates, and other entities, providing structured data.
The API supports envelope detection, which can detect and transcribe audio data from a variety of sources.
Speech-to-Text API offers a feature called "speaker diarization," which can identify and separate different speakers in a conversation.
The API supports both synchronous and asynchronous transcription, allowing users to choose the best option for their use case.
Experience error-free AI audio transcription that's faster and cheaper than human transcription and includes speaker recognition by default! (Get started for free)