Convert your speech to text right now
- Speech Adaptation Beta
- Provide a list of words or expressions to act as "hints" that helps to recognize specific phrases in your audio input. You can use Classes to automatically convert spoken numbers into addresses, years, or currencies, or do other conversions depending on context.
- Automatic speech recognition
- Automatic speech recognition (ASR) powered by deep learning neural networking to power your applications like voice search or speech transcription.
- Global vocabulary
- Recognizes more than 120 languages and variants with an extensive vocabulary.
- Real-time streaming or prerecorded audio support
- Audio input can be streamed from an application’s microphone or sent from a prerecorded audio file (inline or through Google Cloud Storage). Multiple audio encodings are supported, including FLAC, AMR, PCMU, and Linear-16.
- Auto-Detect Language Beta
- When you need to support multilingual scenarios, you can now specify two to four language codes and Speech-to-Text will identify the correct language spoken and provide the transcript.
- Noise robustness
- Handles noisy audio from many environments without requiring additional noise cancellation.
- Inappropriate content filtering
- Filter inappropriate content in text results for some languages.
- Automatic Punctuation Beta
- Accurately punctuates transcriptions (e.g., commas, question marks, and periods) with machine learning.
- Model selection
- Optimize for your use case by choosing from a selection of four pre-built models: voice commands and search, telephony, video transcription, and default.
- Speaker Diarization Beta
- Know who said what you can now get automatic predictions about which of the speakers in a conversation spoke each utterance.
- Multichannel recognition
- In multiparticipant recordings where each participant is recorded in a separate channel (e.g., phone call with two channels or video conference with four channels), Speech-to-Text will recognize each channel separately and then annotate the transcripts so that they follow the same order as in real life.
|Feature||Standard models (all models except enhanced phone and video)||Premium models (enhanced phone, video)|
|0-60 Minutes||Over 60 Mins up to 1 Million Mins||0-60 Minutes||Over 60 Mins up to 1 Million Mins|
|Speech Recognition (without Data Logging - default)||Free||$0.006 / 15 seconds *||Free||$0.009 / 15 seconds *|
|Speech Recognition (with Data Logging opt-in)||Free||$0.004 / 15 seconds *||Free||$0.006 / 15 seconds *|
This pricing is for applications on personal systems (e.g., phones, tablets, laptops, desktops). Please contact us for approval and pricing to use the Speech-to-Text API on embedded devices (e.g., cars, TVs, appliances, or speakers).
* Each request is rounded up to the nearest increment of 15 seconds. For example, if you make three separate requests (Standard model), each containing 7 seconds of audio, you are billed $0.018 USD for 45 seconds (3 × 15 seconds) of audio. Fractions of seconds are included when rounding up to the nearest increment of 15 seconds. That is, 15.14 seconds are rounded up and billed as 30 seconds.
A product or feature listed on this page is in beta. For more information on our product launch stages, see here.
Cloud AI products comply with the SLA policies listed here. They may offer different latency or availability guarantees from other Google Cloud services.