Google Cloud Speech-to-Text vs TranscriptionStar

Google Cloud Speech-to-Text converts audio into text and provides APIs for adding speech recognition to applications. It offers synchronous, asynchronous, and streaming recognition for post-processing, periodic, or real-time results, and lists support for 85+ languages and variants. Model adaptation lets users provide hints for domain-specific terms, rare words, and phrases. Speaker diarization can predict which speaker produced each utterance; the service also supports multichannel recognition and says it can handle noisy audio without additional noise cancellation. Specialized models are available for voice control, phone calls, and video transcription. API v2 includes data residency, audit logging, and customer-managed encryption keys. Speech-to-Text On-Prem runs in private data centers and is offered through a sales contact. Developer access includes REST and RPC APIs, client libraries, and command-line quickstarts. Listed pricing includes Speech-to-Text V2 API standard recognition models at $0.02 a month, billed at $0.016 / 1 minute for 0–500,000 minutes, with lower rates at higher monthly volumes; V1 standard plans include 60 free minutes per month. Costs depend on duration, channel count, model, batch method, and API version, with each channel billed separately.

TranscriptionStar has no write-up on Specifiction yet; its figures are above.