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ease
features
design
support

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Description

LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.

Description

LiteScribe is an innovative transcription service powered by AI that converts various forms of audio such as meetings and interviews into precise text across more than 100 languages, while also providing features like AI-generated summaries, action items, topic tags, and sentiment analysis. It boasts an impressive word accuracy rate of 94.1% for real-world English audio, which can reach approximately 95% when High Accuracy mode is utilized. The platform includes functionalities such as speaker diarization, translation, PII redaction, and profanity filtering, making it versatile for various professional needs. Users can pose questions to AI regarding their entire transcript library through more than 14 models or their own API key, and they can save reusable prompts in a dedicated Prompt Vault. Audio can be captured from direct uploads, social media links, cloud storage solutions, a Chrome extension, and built-in desktop and mobile applications. Additionally, the Meeting Mode allows users to record calls on platforms like Zoom, Teams, Meet, and Webex without requiring a bot to join the meeting. Export options are available in multiple formats including DOCX, PDF, PPTX, XLSX, and SRT. The desktop application, compatible with Windows, macOS, and Linux, can operate entirely offline, ensuring that sensitive audio files remain secure on the device without being transmitted elsewhere. This makes LiteScribe a reliable choice for professionals who prioritize confidentiality in their audio data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow

Integrations

C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free plan with 120 minutes/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge/litert

Vendor Details

Company Name

LiteScribe

Country

United Kingdom

Website

litescribe.ai

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Product Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

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