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ease 0 out of 5 stars
features 0 out of 5 stars
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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Efficiently and precisely convert audio into text across over 85 languages and their variations. Enhance transcription accuracy by customizing models to better suit specific industry jargon. Unlock the full potential of spoken audio by allowing for search capabilities or analytics on the transcribed text, or enabling actions through your chosen programming language. Achieve high-quality audio-to-text transcriptions through advanced speech recognition technology. Expand your base vocabulary by incorporating particular terms or create your own bespoke speech-to-text models. Operate Speech to Text in various environments, whether in the cloud or locally through containers. Leverage the powerful technology that supports speech recognition in Microsoft products. Transform audio input from diverse sources, including microphones, audio files, and blob storage. Utilize speaker diarisation techniques to identify who spoke and when. Obtain well-structured transcripts complete with automatic punctuation and formatting. Customize your speech models for a better understanding of terminology specific to your organization or industry, ensuring a higher level of accuracy in your transcriptions. This versatility makes it easier to adapt the technology to your specific needs and applications.

Description

Decibri is an audio library written in Rust, aimed at developers focused on creating applications for real-time speech, voice agents, and audio processing. It includes functionalities for microphone input, speaker output, PCM streaming, and handling audio files, along with a command-line interface that supports Python, Node.js, Rust, and browser APIs. Among its many features are voice activity detection, acoustic echo cancellation, and optional enhancements such as denoising, filtering, automatic gain control, and limiting. Developers have the capability to stream audio they capture to either cloud or local speech-to-text services, while also playing back synthesized speech through its audio output systems. The library can be utilized in various scenarios, including the development of voice assistants, transcription services, conversational agents, wake-word detection, interactive robotics applications, full-duplex speech systems, audio processing pipelines, and for use in edge devices. It offers prebuilt native packages compatible with Windows, macOS, and Linux, and the Python and Node.js implementations do not require any additional build tools for setup. Additionally, the browser version allows for audio capture, energy-based speech detection, and playback, expanding its accessibility and usability across different platforms. This versatility makes Decibri a powerful tool in the realm of audio application development.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Transcribe No 
AssemblyAI No 
Azure AI Speech No 
Azure Marketplace Yes 
Deepgram No 
Google Cloud Speech-to-Text No 
Lont Yes 
Microsoft 365 Yes 
Microsoft Azure Yes 
OpenAI Realtime API No 
Voxtral No 

Integrations

Amazon Transcribe Yes 
AssemblyAI Yes 
Azure AI Speech Yes 
Azure Marketplace No 
Deepgram Yes 
Google Cloud Speech-to-Text Yes 
Lont No 
Microsoft 365 No 
Microsoft Azure No 
OpenAI Realtime API Yes 
Voxtral Yes 

Pricing Details

$1 per audio hour
Free Trial Yes 
Free Version No 

Pricing Details

$0
The core audio library is free under Apache-2.0. Fees for cloud speech-service providers are separate.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

Decibri

Founded

2008

Country

Australia

Website

decibri.com

Product Features

Transcription

AI / Machine Learning No 
Annotations No 
Audio/Video File Upload No 
Automatic Transcription No 
Collaboration Tools No 
File Sharing No 
For Manual Transcription No 
Full Text Search No 
Multi-Language Support No 
Natural Language Processing (NLP) No 
Playback Controls No 
Speech Recognition No 
Subtitles No 
Text Editor No 
Timecoding No 

Product Features

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