Google Launches AI Edge Eloquent Offline Dictation App On iOS

Google released AI Edge Eloquent, a dictation app focused on offline transcription using on-device models, now available on iOS. The app processes speech locally and is positioned within a market that includes tools such as Wispr Flow, SuperWhisper and Willow.

Introducing Google AI Edge Eloquent

AI Edge Eloquent allows users to generate live transcriptions after downloading Gemma-based speech recognition models. Processing is handled on-device, enabling use without an internet connection. The system removes filler words and produces cleaner text output from spoken language. This approach is designed to reduce the need for manual editing.

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Refined Dictation Capabilities

The app includes options to convert transcripts into structured formats such as summaries or expanded text. Users can adjust output depending on use cases, including notes, documents or reports. These features support workflows that require quick conversion of speech into usable text. Output is formatted for immediate use.

Customizable And Robust Features

Users can switch between local processing and cloud-based enhancement. When cloud mode is enabled, Gemini models are used to further refine transcription results. Customization options include keyword lists and imported terminology, supporting more accurate transcription in specific contexts.

Deep Integration And Enhanced Usability

The app stores transcription history and allows users to search previous sessions. It also provides basic analytics such as word count and speaking speed. Interface design focuses on continuous dictation and quick access to stored content. Navigation is structured for efficiency.

Future Prospects And Market Impact

AI Edge Eloquent is currently limited to iOS, with indications of a future Android release. Planned features may include deeper system integration, such as keyboard-level functionality. Expansion would place Google more directly within the AI transcription market, where multiple tools already offer similar capabilities.

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CSE Reports March Market Shares As Argus Tops With 30.83%

by THEFUTURE.TEAM

April 7, 2026

Overview

Cyprus Stock Exchange (CSE) reported €31.50 million in share transactions for March 2026, including €11.24 million in pre-agreed trades. Data also cover the first quarter, with total transactions reaching €86.06 million across January to March.

Detailed Market Analysis

CSE provides market share calculations both including and excluding pre-agreed transactions. March figures incorporate these trades, while separate data sets highlight activity without them. Such differentiation reflects varying trading dynamics and offers a clearer view of market structure. Bond values are excluded from percentage calculations.

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Quarterly Performance Metrics

Figures for the January–March period show how market shares shift depending on the calculation methodology. Year-to-date data provide a broader perspective on member activity across the exchange. Inclusion or exclusion of pre-agreed transactions affects comparative positioning. These metrics are used to assess overall performance trends.

Key Participant Performance

Argus Stockbrokers Ltd recorded a 30.83% market share in March, with transactions totaling €9.71 million, placing it first for the month. CISCO Ltd held a 24.54% share in March and ranked first for the quarter with 26.19%. Mega Equity Financial Services Ltd followed with 18.31% in March and 24.08% across the quarter. Additional participants included Eurobank EFG Equities with 8.04% and Atlantic Securities Ltd with 7.46%, contributing to overall market activity.

Aggregate Trading Volumes

Pre-agreed transactions accounted for €11.24 million of March’s total turnover. Overall trading value reached €86.06 million for the first quarter. These figures reflect both negotiated and regular market activity, providing a fuller picture of trading volumes.

Conclusion

CSE data outline the distribution of market shares and transaction volumes across members. Distinctions between pre-agreed and regular trades highlight differences in activity patterns. Reported figures provide a basis for evaluating market structure and participant performance.

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