Sonicker: Voice Cloning Web App Built with Claude Code in 4 Days

Sonicker is a voice cloning web application that generates cloned speech from just 3 seconds of audio input. The tool was built by a solo developer in 4 days using Claude Code.
Technical Implementation
The core model powering Sonicker is Qwen3-TTS, which the developer notes is "a great model but heavy to run locally." To make it accessible, they built a web service that runs the model without requiring local installation.
The entire application was written with Claude Code. According to the developer: "Claude Code handled the entire frontend, API integration, and deployment config. I mostly just described what I wanted and reviewed the output."
Features and Specifications
- Requires only 3 seconds of audio for voice cloning
- No registration required to try
- Free credits included
- Supports multiple languages: English, Spanish, Japanese, Korean, Chinese, French and more
- Specifically lists support for 10 major languages: English, Chinese, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian
- Workflow: Upload a voice sample + enter text → generates cloned speech
- The developer notes: "Honestly, the quality is surprisingly good."
Technical Stack
- Core model: Qwen3-TTS (available on GitHub)
- Built with: Opus 4.6, Next.js, Cloudflare workers
- Deployment: Web service architecture to avoid local model weight issues
Resources
- Model repository: https://github.com/QwenLM/Qwen3-TTS
- Web app: sonicker.com
The developer is seeking feedback on potential use cases, asking: "Curious what use cases people here would find most useful — content creation, dubbing, accessibility?"
📖 Read the full source: r/ClaudeAI
👀 See Also

nah: A context-aware permission guard for Claude Code
nah is a PreToolUse hook that intercepts every tool call in Claude Code, classifying commands by action type like filesystem_read or git_history_rewrite and applying policies based on context. It runs a deterministic classifier in milliseconds with optional LLM escalation for ambiguous cases.

llm-use – An Open-Source Framework for Routing and Orchestrating Multi-LLM Agent Workflows
llm-use is revolutionizing automation with its open-source framework designed to efficiently route and orchestrate multi-LLM agent workflows. Explore its impact on AI operations.

Snip: Open-source tool reduces Claude Code token usage with YAML filters
Snip is a Go-based tool that sits between Claude Code and the shell, filtering verbose command output through declarative YAML pipelines to reduce token usage by 60-90%. It includes 16 composable pipeline actions and works with multiple AI coding agents.

Claude Token Counter Updated with Model Comparison Feature
Simon Willison's Claude Token Counter tool now supports comparing token counts across different Claude models. The update reveals Opus 4.7 uses 1.0–1.35× more tokens than Opus 4.6 due to an updated tokenizer, potentially increasing costs by around 40% despite identical pricing.