ElevenLabs Scribe vs Google Cloud Speech-to-Text

Per-minute batch cost is the deciding factor at call-center scale. ElevenLabs Scribe charges $0.003667 per audio minute versus Google Cloud Speech-to-Text at $0.016 per audio minute, making Scribe more than 4x cheaper per hour of recorded calls. Both tools include speaker diarizationdiarization - Splitting a transcript by speaker, so you can see who said what. at no extra charge, so that is neutral. For PII redaction, Scribe offers it as a paid add-on at $0.001167 per audio minute, while Google Cloud Speech-to-Text has no PII redaction at all. On concurrency, Google leads with 300 concurrent streaming sessions versus Scribe's 8, but the massive per-minute price gap far outweighs that advantage for bulk QA workloads.

Batch pricing is the central cost concern for developers building metered products. ElevenLabs Scribe charges $0.003667 per audio minute versus Google Cloud Speech-to-Text at $0.016 per audio minute, making Scribe roughly 4x cheaper at scale. Both tools offer Python and Node.js SDKs, but Google supports more languages, a real advantage that still does not overcome the pricing gap. Scribe also offers a WebSocket streaming API while Google Cloud Speech-to-Text does not, a meaningful difference for real-time product features. Both provide word-level timestampsword-level timestamps - The API reports exactly when each word is spoken in the audio, for subtitles and highlighting.. Scribe additionally supports more audio container formats, including AAC, AIFF, M4A, and OPUS, which Google does not list.

The deciding attributes for dictation are platform support, local vs. cloud processing, AI formatting, app pricing, and integrations. Neither ElevenLabs Scribe nor Google Cloud Speech-to-Text is a dedicated dictation app: both are cloud-based speech-to-text APIs where audio leaves the device, and neither provides a native dictation interface, AI formatting editor, or direct app integrations for voice typing. Available information covers API pricing and accuracy but says nothing about dictation-specific platforms or offline processing for either tool. With no basis to differentiate them on what matters most here, neither wins.

For clinical transcription under US healthcare privacy law, the HIPAA BAAHIPAA BAA - A signed Business Associate Agreement that lets you handle protected health information under US healthcare privacy law. is the deciding factor. Google Cloud Speech-to-Text offers a HIPAA BAA broadly, while ElevenLabs Scribe restricts it to enterprise contracts only, blocking most clinical buyers from the start. On PII redaction, ElevenLabs Scribe offers it as a paid add-on at about $0.07/hr, while Google Cloud Speech-to-Text has none, giving Scribe an edge there. Both tools match on custom vocabulary and SOC 2 Type II. Google Cloud Speech-to-Text also supports on-premises deployment, adding another compliance advantage. The HIPAA BAA gap is decisive for this use case.

The single most important question for a self-hostedself-host - Run the software on your own servers instead of the vendor’s cloud. deployment is whether a vendor actually offers an on-premises or self-host option. Google Cloud Speech-to-Text explicitly publishes a self-host and on-prem option, while ElevenLabs Scribe does not. That difference alone is decisive for this use case. Neither tool publishes information about open model weights, hardware requirements, maintenance status, or model parameter counts, so those factors cannot break the tie further. On the attribute that matters most, only Google Cloud Speech-to-Text has a confirmed answer of yes.

For voice agents, streaming latency and WebSocket support are the deciding factors. ElevenLabs Scribe publishes a 150 ms streaming latency and offers a native WebSocket streaming API, while Google Cloud Speech-to-Text has no WebSocket streaming API at all. On streaming price, Scribe charges $0.0065/audio-min versus Google's $0.016/audio-min, making Scribe less than half the cost per minute. Google leads on base-plan concurrencyconcurrency - How many phone calls the platform can handle at the same time. (300 vs. 8 concurrent sessions), but without WebSocket support, that concurrency advantage cannot serve real-time voice bots effectively. Both tools support custom vocabulary.