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Let any text speak with AnySpeak.ai – text to speech powered by Qwen3-TTS - Web UI & CLI - Open Source

anyspeak 최신버젼 다운로드

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# AnySpeak.ai

→ <a href="https://anyspeak.ai">Listen to speech examples</a> ←

**→ The app is already online. You can try it at [anyspeak.ai](https://anyspeak.ai).**

**Let any text speak.** Open-source text-to-speech powered by [Qwen3-TTS](https://github.com/QwenLM/Qwen3-TTS), with a web UI and optional local CLI.

---

## Screenshots

| View - Player | View - Editor |
|---------------|---------------|
| [![View - Player](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/View%20-%20Player.png)](screenshots/View%20-%20Player.png) | [![View - Editor](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/View%20-%20Editor.png)](screenshots/View%20-%20Editor.png) |

| Feature - CLEAN | Feature - Quality |
|-----------------|-------------------|
| [![Feature - CLEAN](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/Feature%20-%20CLEAN.png)](screenshots/Feature%20-%20CLEAN.png) | [![Feature - Quality](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/Feature%20-%20Quality.png)](screenshots/Feature%20-%20Quality.png) |

| Feature - IMPROVE | Feature - VIDEO |
|-------------------|-----------------|
| [![Feature - IMPROVE](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/Feature%20-%20IMPROVE.png)](screenshots/Feature%20-%20IMPROVE.png) | [![Feature - VIDEO](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/Feature%20-%20VIDEO.png)](screenshots/Feature%20-%20VIDEO.png) |

| View - Moods | Feature - Community |
|--------------|---------------------|
| [![View - Moods](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/View%20-%20Moods.png)](screenshots/View%20-%20Moods.png) | [![Feature - Community](https://raw.githubusercontent.com/anyspeak-ai/anyspeak/main/screenshots/Feature%20-%20Community.png)](screenshots/Feature%20-%20Community.png) |

---

## ✨ Features

- **TTS:** Multiple voices and Qwen3-TTS models (1.7B CustomVoice, VoiceDesign, Base). Supported languages: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish.
- **Speaker tags:** Use `[SPEAKER_NAME]` in text for multi-speaker output.
- **Mood tags:** Use `[SPEAKER:mood]` (e.g. `[VIVIAN:happy]`) for emotional expressiveness.
- **Timing tags:** Use `[SPEAKER:mood:timing]` (e.g. `[RYAN:+1.5]` for 1.5 s pause after, `[VIVIAN:happy:-0.3]` for shorter gap or even speaker overlapping) or the + TIMING button to control pacing between segments.
- **Custom voices:** Voice Design by selecting attributes (gender, language, old/young, slow/fast, high/low, loud/soft, warm/rough).
- **CLEAN:** Analyze and clean text for better TTS output.
- **CHECK:** Quality check with Whisper (compare original vs. synthesized).
- **IMPROVE:** Post-process generated audio by chunk: selectively regenerate mispronounced segments, trim silence, add pauses, or edit text and re-generate. Compare original vs. improved before applying. You can also edit finished MP3s afterward (e.g. different wording or different speaker at a specific place) without regenerating everything.
- **VIDEO:** Create video from audio and images (with optional subtitles).
- **Load & Save (MP3):** Load and save via MP3. Very powerful: you can continue working at the same place, and files store the original text with tags in their metadata.
- **Import:** Load text from URL or file.
- **Local CLI:** [run_local.py](run_local.py) for offline generation (see [RUN_LOCAL_INSTRUCTIONS.txt](RUN_LOCAL_INSTRUCTIONS.txt)).

---

## ⚙️ Requirements

- Python 3.10+ (3.12 recommended)
- **Hardware:** x86_64 CPU with AVX support (typical Intel/AMD from ~2011 onward), 8 GB free RAM minimum

FFmpeg and all other dependencies are installed automatically on first run.

---

## 📦 Installation

1. **Clone the repo** and ensure [Python 3.10+](https://www.python.org/downloads/) is installed (3.12 recommended).  
   Windows: During installation, check *Add Python to PATH*.

2. **Run the script** — that’s it. On first run, `run_local.py` installs everything (venv, packages, FFmpeg, TTS model) automatically. No manual `pip install` or model downloads needed.

```bash
git clone https://github.com/anyspeak-ai/anyspeak.git
cd anyspeak
python run_local.py "Hello world" -o hello.mp3
```

First run takes ~10–20 minutes (downloads ~5 GB). Later runs convert immediately.

See [RUN_LOCAL_INSTRUCTIONS.txt](RUN_LOCAL_INSTRUCTIONS.txt) for details (platform-specific notes, server mode, troubleshooting).

---

## ▶️ Usage

### CLI (text → MP3)

```bash
python run_local.py input.txt -o output.mp3
python run_local.py "[RYAN] Hello world" -o hello.mp3
```

### Web UI (full features)

```bash
python run_local.py --server
```

Then open [http://localhost:5000](http://localhost:5000). Server mode downloads additional models (~15 GB total) on first run.

See [RUN_LOCAL_INSTRUCTIONS.txt](RUN_LOCAL_INSTRUCTIONS.txt) for options (custom port, reinstall, uninstall).

---

## 📁 Project layout (main files)

| Path | Description |
|------|-------------|
| `run_local.py` | All-in-one CLI and server launcher (first run installs everything) |
| `RUN_LOCAL_INSTRUCTIONS.txt` | Local usage guide |
| `LICENSE` | AGPL-3.0 license |
| `app.py` | Flask server and TTS API |
| `config.py` | Central configuration |
| `index.html` | Main web UI |
| `footer.json` | Footer content (privacy, terms, license, contact, GitHub URL) |
| `communityfeatures.html` / `communityfeatures.py` | Community features page |
| `feature_*.html` / `feature_*.py` | Feature modules (clean, check, improve, video, timing, custom voice, import) |
| `utils_whisper.py` | Whisper for quality check |
| `provenance.py` | Proof of origin: metadata, Ed25519 signature, audio watermark |
| `provenance_detect.py` | CLI tool to verify provenance in MP3/MP4/WAV files |
| `provenance_hashes.json` | Provenance configuration (hashes, signing key, auto-sign) |

---

## Proof of Origin

Every generated file gets an inaudible watermark and metadata. Files can optionally be **signed with Ed25519** to prove their origin. Toggle auto-signing in `provenance_hashes.json`:

```json
"sign_automatically": true
```

Set to `false` to skip signing on export. You can always sign or verify manually:

```bash
python provenance.py --generate-keys          # first-time: create key pair
python provenance.py --sign-file output.mp3    # sign an existing file
python provenance_detect.py output.mp3         # verify provenance
```

---

<a id="roadmap"></a>
## 🗺️ Roadmap

**Preprocessing**
- Improved CLEAN feature (e.g. add spelling check)
- Improved custom voice feature (e.g. add voice cloning)

**Postprocessing**
- Improved IMPROVE feature (e.g. add speed management)

**New features**
- MCP as universal API (JSON in → MP3 out)
- Batch processing
- Sound effect library and integration (like video feature)

---

## 📄 License

AnySpeak is open source under **AGPL-3**. You may use, modify, and distribute it. If you modify it or offer it as a service, you must make the source code available to users under AGPL-3. If you prefer not to do that, a **commercial license** is available – [hello@anyspeak.ai](mailto:hello@anyspeak.ai).

---

## 💬 Community

- **Community features:** Contribute improvements or add plugins/integrations on the Community Features page.
- You can work on [Roadmap](#roadmap) items or bring your own ideas – best integrated as community features.
- **Contributing:** By submitting a pull request, you agree to the [Contributor License Agreement (CLA)](CLA.md).
- **GitHub ⭐ stars** are welcome if you like the project: [github.com/anyspeak-ai/anyspeak](https://github.com/anyspeak-ai/anyspeak)

---

## 🙏 Acknowledgments

Thanks to the following projects and communities that make AnySpeak possible:

- **[Qwen3-TTS](https://github.com/QwenLM/Qwen3-TTS)** by Alibaba Cloud / QwenLM — the core TTS engine
- **[OpenAI Whisper](https://github.com/openai/whisper)** — used for quality checking and text comparison
- **[Hugging Face](https://huggingface.co)** — model hosting and distribution

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