Build “real” real-time transcription software.
On-device streaming speech-to-text with cloud-level accuracy without cloud latency
It felt like we tried every available solution on the market, and only Picovoice provided the stability, processing speed, excellent accuracy out of the box, and flexible training capabilities that we required. They are truly on the cutting edge of voice technology.
What is Cheetah Streaming Speech-to-Text?
Cheetah Streaming Speech-to-Text is software that automatically transcribes voice data in real time without network delay or compromising accuracy.
Cheetah Streaming Speech-to-Text processes voice data locally, enabling live transcription on-device, mobile, web browsers, on-premise, or cloud.
Build with cross-platform transcription SDKs
o = pvcheetah.create(access_key)partial_transcript, is_endpoint =o.process(get_next_audio_frame())
Why Cheetah Streaming Speech-to-Text?
Real-time transcription APIs send voice data to the vendor’s cloud, making them vulnerable to latency, congestion, outages, and throttling.
Cheetah Streaming Speech-to-Text processes voice data when and where received, resulting in a guaranteed real-time transcription experience without unpredictable delays.
Zero latency real-time transcription
Cloud Performance
- ✅Accurate
- 🎚Custom models
- 🤸Platform-agnostic
…with on-device benefits
- ⏱️Zero latency
- ⚡No downtime
- 🔒Private by design
Evaluate the accuracy of transcription software transparently
Boost the accuracy of Cheetah Streaming Speech-to-Text with customization
Deploy Cheetah Streaming Speech-to-Text on any platform
Generate real-time transcripts with no network delays
Ensure voice data and transcript privacy and security
Cheetah Streaming Speech-to-Text
Does Cheetah Streaming Speech-to-Text sound too good to be true? See for yourself!
Start Now- Pre-trained transcription models
- Custom vocabulary
- Keyword boosting
- Intuitive SDKs
- Trucasing and Punctuation
- English, French, German, Italian, Portuguese, and Spanish
More from Picovoice
On-device AI Models to Convert Voice to Text in French
On-device AI Models to Convert Voice to Text in Spanish
Multilingual On-device Speech-to-Text for Real-time Applications
AI Voice Assistant for iOS Powered by Local LLM
AI Voice Assistant for Android Powered by Local LLM
Local LLM-Powered Voice Assistant for Web Browsers
Cheetah Streaming Speech-to-Text
What is a real-time transcription engine?
Real-time transcription, also known as real-time speech-to-text, streaming transcription, streaming speech-to-text, live transcription, or live speech-to-text, refers to the technology and tools that convert audio streams to text synchronously with audio generation.
How does on-device real-time transcription differ from cloud-based real-time transcription APIs?
Cloud-based real-time transcription APIs record and send voice data to vendor servers where the transcription engine resides to convert voice into text. On-device real-time transcription brings the transcription engine where voice data is, offering guaranteed real-time experience by eliminating unpredictable delays.
What are the benefits of on-device real-time transcription over cloud-based real-time transcription?
Cloud-based real-time transcription converts voice data into text with delay due to network latency and connectivity issues. On-device real-time transcription eliminates these inherent latency and reliability limitations by processing voice data on the device without sending it to a 3rd party cloud. For time-sensitive applications, such as agent assistance, medical dictation, or meeting transcription, delays affect the experience and productivity. A recent study on delays in virtual communication depicts internet lag as a wrench in mental gears.
Can I use Cheetah Streaming Speech-to-Text in the cloud?
Yes. You can run Cheetah Streaming Speech-to-Text in the cloud, whether private, public, or hybrid. Picovoice on-device voice recognition technology allows enterprises to decide where to run the transcription engine instead of making the Picovoice cloud mandatory for voice processing.
What are the key metrics for evaluating real-time transcription engines?
Key metrics for evaluating real-time transcription engines are latency, reliability & resiliency, accuracy, availability of features, the total cost of ownership, and data privacy and governance. Each metric may have different weights in different projects of the same company.
Which platforms does Cheetah Streaming Speech-to-Text support?
Which languages does Cheetah Streaming Speech-to-Text support?
Cheetah Streaming Speech-to-Text currently supports English, French, German, Italian, Portuguese, and Spanish.
What should I do to request Cheetah Streaming Speech-to-Text to support other languages?
Reach out to Picovoice Sales to tell us about your commercial endeavor.
How do I get technical support for Cheetah Streaming Speech-to-Text?
Picovoice docs, blog, Medium posts, and GitHub are great resources to learn about voice AI, Picovoice technology, and how to start building transcription products. You can report bugs and issues on GitHub. If you need help with developing your product, you can purchase the optional Support Add-on or upgrade your account to the Developer Plan.