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What is Azure Speech to Text?

Efficiently transform audio recordings into written text in more than 85 languages and their distinct variations. You can boost accuracy by tailoring models to fit specialized terminology relevant to different fields. Harness the potential of spoken audio by enabling search functionalities or performing analytics on the transcribed content, which can lead to actionable insights, all within your preferred programming framework. Obtain top-notch audio-to-text transcriptions using advanced speech recognition technology. Broaden your vocabulary with specialized terms or construct custom speech-to-text models that meet your specific requirements. Deploy Speech to Text solutions in a versatile manner, whether in cloud environments or on local devices through containers. Utilize the same robust technology that supports speech recognition in numerous Microsoft products. Convert audio from a variety of inputs including microphones, audio files, and cloud-based storage solutions. Implement speaker diarization to track who is speaking and when during discussions. Enjoy well-organized transcripts that come with automatic formatting and punctuation. Additionally, personalize your speech models to adeptly recognize industry-specific terminology, thus enhancing overall efficiency. This level of customization ensures that the transcriptions are not only accurate but also contextually relevant.

What is aiOla?

aiOla is an advanced tech lab specializing in Conversational, Voice, and Speech AI, boasting an enterprise-level ASR foundation model alongside cutting-edge TTS technology. Its primary aim is to assist businesses and developers in seamlessly integrating speech technologies into various processes, either via an intuitive in-house application or through smooth API connections. Our expertise lies in speech-to-text and text-to-speech AI that achieves remarkable accuracy rates of 95% across diverse languages, accents, specialized jargon, industries, and acoustic environments. With our patented ASR technology, supported by globally recognized researchers, enterprises can capture spoken data in real-time, organize it efficiently, and transform it into actionable insights via a centralized data platform. By empowering frontline employees with hands-free operational capabilities and equipping voice AI agents with robust enterprise-grade ASR and TTS, aiOla integrates effortlessly into existing workflows, internal applications, and products. Offering support for over 120 languages, along with strong privacy measures and real-time processing capabilities, we position ourselves as the reliable partner for organizations seeking to enhance efficiency, gather more data, and make informed decisions utilizing AI-driven conversational technology. Our commitment to innovation ensures that aiOla remains at the forefront of the rapidly evolving landscape of speech technology.

Media

Media

Integrations Supported

Azure Marketplace
Lont
Microsoft 365
Microsoft Azure

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

$1 per audio hour
Free Trial Offered?

Pricing Information

Custom

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/

Company Facts

Organization Name

aiOla

Date Founded

2022

Company Location

Israel

Company Website

aiola.ai

Categories and Features

Speech to Text

Not specified

Transcription

Not specified

Categories and Features

AI Voice Models

Not specified

Conversational AI

Not specified

Speech Recognition

Not specified

Text to Speech

Not specified

Workflow Management

Not specified

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