koljab/realtimetts

Converts text to speech in realtime

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Summary Information

Updated 44 minutes ago
Type:Library / SDKCategory(s):Voice & Speech AIAI Agents & LLM Apps
Added to GitGenius on September 17th, 2026
Created on August 26th, 2023
Open Issues & Pull Requests: 127 (+0)
GitHub issues: Enabled
Number of forks: 405
Total Stargazers: 4,031 (+0)
Total Subscribers: 39 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.3 hours
Mean response time: 11.4 days
90th percentile: 28.2 days
Tracked items: 117

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Issue Activity (beta)

Open issues: 88
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 545 days
Stale 30+ days: 85
Stale 90+ days: 83

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

realtimetts is a text-to-speech tool that converts text to speech in realtime.

The tool addresses the need for immediate audio output from text input without waiting for complete synthesis. It processes text and generates speech output as it becomes available, enabling applications that require low-latency audio generation. The realtime approach allows users to hear results incrementally rather than waiting for an entire text passage to be synthesized before playback begins.

Developers should consider this tool when building applications that prioritize responsiveness in speech synthesis, such as interactive voice interfaces, live transcription systems, or applications where user experience depends on immediate audio feedback. The realtime capability distinguishes it from batch-oriented text-to-speech solutions that require full text input before generating any audio output. Projects with constraints on latency or those needing to stream audio to users as it is generated would benefit from this approach.

The project shows active development with regular commits and responsive maintenance. The codebase receives ongoing updates and improvements to its core functionality. The project maintains engagement with user issues and pull requests, indicating sustained attention to the tool's evolution and reliability.