Build accurate and private transcription software.
On-device transcription with cloud-level accuracy bringing control back to enterprises
What is Leopard Speech-to-Text?
Leopard Speech-to-Text is software that converts audio and video recordings into text with cloud-level accuracy without sacrificing privacy.
Leopard Speech-to-Text brings speech recognition to where data resides, enabling transcription on the device, mobile, web browsers, on-prem, or cloud.
Build with intuitive Speech-to-Text SDKs
o = pvleopard.create(access_key)transcript, words =o.process_file(path)
Why Leopard Speech-to-Text?
Speech-to-text APIs require enterprises to send their data to a 3rd party cloud, giving away control over their data and product.
Leopard Speech-to-Text offers the same performance with no compromises.
Don't leave any data behind
Creating new possibilities for your content, product, and database
Just like “best” cloud transcription APIs…
Leopard Speech-to-Text offers cloud-level accuracy, model customization, and cross-platform support…
…with no compromises
…without sacrificing privacy, reliability, and affordability, enabling use cases that were impossible before.
Your product, your decision
Evaluate the accuracy of Leopard Speech-to-Text vs other transcription APIs scientifically with the open-source speech-to-text benchmark, enabling you to make decisions confidently with your data.
Boost accuracy with custom models
Customize pre-trained speech-to-text models instantly by adding domain-specific vocabulary and boosting frequently-used words on a self-service platform, achieving the highest possible accuracy.
Create seamless experiences
Deploy Leopard Speech-to-Text anywhere and offer seamless experiences across devices, mobile apps, web browsers, on-premise, cloud, or all.
Do not rely on “check the box” compliance models
Process voice data without sharing it with 3rd parties, ensuring compliance with GDPR, HIPAA, CCPA, and more - including any policies that come in the future.
Develop dependable products
Build reliable products with predictable response times by bringing speech-to-text closer to your data to bypass network latency, congestion, outages, or throttling.
Scale your business, not cloud providers’
Do not bear the cost of running bulky models in the cloud. Big Tech uses on-device speech-to-text for their products because running large models in the cloud is costly, even for them.
Leopard Speech-to-Text
The best way to learn about Leopard Speech-to-Text is to use it!
Start Now- Pre-trained models
- Custom vocabulary
- Keyword boosting
- Intuitive SDKs
- Trucasing and Punctuation
- Word-level Confidence Scores
- Word-level Timestamps
- English, French, German, Italian, Japanese, Korean, Portuguese, and Spanish
Leopard Speech-to-Text
What is speech-to-text?
Speech-to-text (STT), also known as Automatic Speech Recognition (ASR) and Open-Domain Large Vocabulary Speech Recognition (LVSR), refers to the technology and methodologies that convert voice data into text.
How does on-device speech-to-text differ from cloud-based speech-to-text?
Cloud-based speech-to-text APIs send voice data to vendors’ servers, where the transcription engine resides. On-device voice processing brings voice recognition where voice data is, eliminating all the steps related to cloud processing.