<!-- markdownlint-disable MD033 MD041 -->
<img
src="https://kura.pro/audioanalyser/images/logos/audioanalyser.webp"
align="right"
alt="Audio Analyser's logo"
height="261"
width="261"
/>
<!-- markdownlint-enable MD033 MD041 -->
Audio Analyser: Speech-to-Text & Analysis
![Audio Analyser banner][banner]
Overview
**Audio Analyser** leverages the power of Microsoft Azure's advanced AI services to transform your audio data into valuable insight reports in no time through automatic speech-to-text, text analysis, and recommendations.
- **Solve the pain of manual audio analysis:** Manually analyzing audio is time consuming and limited. Audio Analyser automates the process, quickly surfacing key insights through AI-powered speech and language processing.
- **Discover Hidden Insights in Minutes**: AI-Powered Audio Analysis for Your Call Recordings and Audio Files.
- **Streamline call recording and audio file transcription**, uncover actionable insights in seconds with advanced text analysis, powered by Microsoft Azure AI services
- **Go beyond simple transcription:** Discover sentiment, key information, and gain a multi-faceted understanding of your conversations through in-depth analysis and comprehensive reports.
- **Audio Analyser** leverages the power of Azure's advanced AI services to transform your audio data into valuable insight reports in no time.
![divider][divider]
Key Features
- **Audio Recording**: Record audio files and conversations.
- **Speech to Text**: Convert spoken language into text using Azure's speech-to-text service.
- **Instant Transcription:** Instantly transcribe audio files and recordings into text.
- **Text Analysis**: Analyze text for various features using Azure's text analytics service.
- **Recommendations:** Get actionable recommendations based on the results of the analysis.
- **Support for outputting results in different formats**, including JSON, TXT and SQLite.
- **Actionable Insights:**
- Analyze text for various features, including Overall Sentiment, Positive/Negative Sentiment Analysis, Identify Key Topics and Entities, Language, Personally Identifiable Information (PII).
- Uncover sentiment and key information within conversations.
- **Data-Driven Reports:**
- Generate detailed reports for easy sharing and analysis.
- **Web Server**: A CherryPy-based web server to handle incoming requests and process them.
![divider][divider]
Built on a Robust Foundation
- **Azure-powered technology** and a secure **CherryPy web server** ensure accurate analysis and reliable data management.
- **Scalable architecture:** Adapt seamlessly to your needs, handling large datasets with ease.
**Experience the power of Audio Analyser today!**
[banner]: https://kura.pro/audioanalyser/images/titles/title-audioanalyser.webp "Speech-to-Text & Analysis: Easy, Fast, Accurate."
[divider]: https://kura.pro/common/images/elements/divider.svg "Divider"
![divider][divider]
Changelog
Artifacts 🎁
* [audioanalyser-0.0.6-py2.py3-none-any.whl](https://github.com/sebastienrousseau/audioanalyser/releases/download/v0.0.6/audioanalyser-0.0.6-py2.py3-none-any.whl)
* [audioanalyser-0.0.6.tar.gz](https://github.com/sebastienrousseau/audioanalyser/releases/download/v0.0.6/audioanalyser-0.0.6.tar.gz)
What's Changed
* refactor(audioanalyser): :sparkles: Code refactoring and UI updates by sebastienrousseau in https://github.com/sebastienrousseau/audioanalyser/pull/7
* v0.0.6 by sebastienrousseau in https://github.com/sebastienrousseau/audioanalyser/pull/8
- feat(audioanalyser): :arrow_up: dependency updates
- feat(audioanalyser): :art: text-to-speech, cli optimisation and various refactoring
- feat(audioanalyser): :sparkles: 0.0.5
- fix(audioanalyser): :bug: fixing on flake8
- refactor(audioanalyser): :sparkles: code refactoring and various UI optimisations
**Full Changelog**: https://github.com/sebastienrousseau/audioanalyser/compare/v0.0.5...v0.0.6