🚀 Best-in-class Voice AI!
Add low latency real-time transcription to your application with Cheetah Streaming Speech-to-Text.
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TLDR: Convierte voz en texto con la IA de Picovoice

Picovoice ofrece dos modelo de transcripción: Asíncrono y en streaming. Cada modelo devuelve resultados de texto en función de si es necesario transcribir después de procesarlo o en tiempo real.

Picovoice’s on-device speech-to-text models, Leopard and Cheetah, now support Spanish. Speech-to-text, also known as automatic speech recognition (ASR), makes it easy to add audio and video transcription to applications. Enterprises can now create text transcripts of audio and video input quickly without jeopardizing user privacy or worrying about user experience.

Zero-latency, real-time transcription in Spanish

Similar to cloud real-time transcription APIs, Cheetah Streaming Speech-to-Text empowers enterprises to increase the accessibility and discoverability of their audio and video content - whether it’s a live event, online meeting, or medical dictation.

With its unique on-device and streaming voice data processing capability, Cheetah Streaming Speech-to-Text elevates the user experience and enables new use cases that hadn’t been possible before. Contact centers can automate certain inquiries and provide agents with real-time coaching. Online meeting providers can add real-time speech-to-speech translation along with real-time transcription.

🚀 Best-in-class Voice AI!
Add low latency real-time transcription to your application with Cheetah Streaming Speech-to-Text.
Start Free

What makes Spanish Cheetah Streaming Speech-to-Text unique?

Cheetah Streaming Speech-to-Text processes voice data locally and in real time, enabling “real” real-time applications.

  1. Zero network latency: Unlike cloud transcription APIs, such as AWS Transcribe and Google Speech-to-Text, it does not send voice data to remote servers to get it transcribed, eliminating the latency in voice AI applications.
  2. Streaming data processing: Unlike state-of-the-art on-device transcription engines, such as Whisper, Cheetah is designed to handle streaming voice input, eliminating the limitations for real-time applications.

To learn more, visit Cheetah Streaming Speech-to-Text platform page or start building with your favorite SDK!

Python
NodeJS
Android
iOS
Go
Java
.NET
Rust
React
Flutter
React Native
C
JavaScript
o = pvcheetah.create(access_key)


partial_transcript, is_endpoint =
  o.process(get_next_audio_frame())
Build with Python

Choosing the best Spanish Speech-to-Text

Evaluate Cheetah Streaming Speech-to-Text accuracy by comparing it against popular asynchronous Spanish speech-to-text models using our open-source Spanish speech-to-text benchmark.

Open-source Benchmark to evaluate Spanish speech-to-text models of Picovoice Cheetah, Amazon Transcribe, Google Speech-to-Text, and Whisper!

Compara los modelos de Picovoice Cheetah, Whisper, Amazon Transcribe y Google Speech-to-text en español. ¡Elige el mejor para tu aplicación!

Custom Spanish Speech-to-Text Models

Enterprises heavily invest in their branding. After all these efforts, having a customer service AI agent that doesn’t recognize the name of your product is not acceptable, regardless of its ability to recognize all the other words. Improving Cheetah Streaming Speech-to-Text accuracy by using Picovoice Console’s type-and-train interface does not require knowledge of Machine Learning. Customize the default Spanish model for your domain and application in minutes.

Picovoice Console add custom vocabulary to default models

Visit Leopard Speech-to-Text platform page if you’re interested in converting Spanish audio and video files to text using asynchronous speech-to-text that achieves cloud-level accuracy without jeopardizing user privacy!