Leopard
Speech-to-Text

cloud-level accuracy, without compromises, and on your terms

Accurate

Leopard achieves competitive results compared to Watson Speech to Text, Google Speech-to-Text, Amazon Transcribe, and Azure Cognitive Services. Picovoice remains the only ASR vendor that backs its performance claims with open-source and reproducible benchmarks. [1]

Cost-Effective

10x to 22x more cost-effective compared to cloud-based speech recognition APIs. [1] [2] [3] [4] [5]

Private

All voice data is processed on-device. Intrinsically HIPAA and GDPR compliant.

Zero-Latency

Edge-first architecture eliminates unpredictable network delay.

Reliable

100% of the voice recognition is on-device. No concurrency limit. No downtime.

Free Tier

100 hours of free transcription per month. No credit card is required.

Custom Vocabulary

Understand what matters the most by including terms unique to your use case.

Cross Platform

Runs everywhere. Linux, macOS, Windows, Android, iOS, Raspberry Pi, and NVIDIA Jetson Nano are supported.

Efficient

Breakthrough efficiency built upon proprietary deep learning technology. Runs everywhere even on tiny embedded processors with a compact size of 20 MB. [1]

Leopard leopard = Leopard.Create("${ACCESS_KEY}");

string text = leopard.ProcessFile("${PATH}");

Build with .NET

leopard = pvleopard.create('${ACCESS_KEY}')

text = leopard.process_file('${PATH}')

Build with Python

const leopard = new Leopard("${ACCESS_KEY}");

const text = leopard.processFile("${PATH}");

Build with NodeJS

Leopard leopard = new Leopard.Builder()
    .setAccessKey("${ACCESS_KEY}")
    .build();

String text = leopard.processFile("${PATH}");

Build with Java

leopard = Leopard{AccessKey: "${ACCESS_KEY}"}

text, err := leopard.ProcessFile("${PATH}")

Build with Go

Leopard leopard = new Leopard.Builder("${ACCESS_KEY}")
  .setModelPath("${MODEL_PATH}")
  .build(appContext);
    
String text = leopard.processFile("${PATH}");

Build with Android

let leopard = Leopard(
    accessKey: "${ACCESS_KEY}",
    modelPath: "${MODEL_PATH}")

let text = leopard.process_file("${PATH}");

Build with iOS

leopard = await Leopard.create(
    "${ACCESS_KEY}",
    "${MODEL_PATH}");

String text = = await leopard.processFile("${PATH}");

Build with Flutter

const leopard = await Leopard.create(
    "${ACCESS_KEY}",
    "${MODEL_PATH}")

const text = await leopard.processFile("${PATH}")

Build with React Native

Need a streaming Speech-to-Text SDK? Try out Cheetah Speech-to-Text.

Leopard Speech-to-Text