IMA TTS Generator

Convert text, scripts, and captions into natural voiceovers for videos, explainers, product demos, and social posts.

3,891 stars

Best use case

IMA TTS Generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Convert text, scripts, and captions into natural voiceovers for videos, explainers, product demos, and social posts.

Teams using IMA TTS Generator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ima-tts-ai/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/allenfancy-gan/ima-tts-ai/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ima-tts-ai/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How IMA TTS Generator Compares

Feature / AgentIMA TTS GeneratorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Convert text, scripts, and captions into natural voiceovers for videos, explainers, product demos, and social posts.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# IMA TTS AI — Text-to-Speech Generator

**For complete API documentation, security details, all parameters, speaker list, and Python examples, read `SKILL-DETAIL.md`.**

## Model ID Reference (CRITICAL)

| Friendly Name | model_id | Notes |
|---------------|----------|-------|
| Seed TTS 2.0 | `seed-tts-2.0` | ✅ Default and only supported model |

**Sub-models (via extra-params):**
- `seed-tts-2.0-expressive` — More expressive, emotional (default)
- `seed-tts-2.0-standard` — More stable, neutral

## When User Says "帮我制作旁白/配音"

**Must ask first:**
| Question | Parameter | Required |
|----------|-----------|----------|
| 要朗读的内容/文案 | `prompt` | ✅ Yes |

**Recommend asking:**
| Question | Parameter | Options |
|----------|-----------|---------|
| 音色/发音人 | `speaker` | 魅力苏菲、Vivi、云舟、大壹 等 (see SKILL-DETAIL.md) |

**Optional:**
| Question | Parameter | Range |
|----------|-----------|-------|
| 情感/情绪 | `audio_params.emotion` | neutral, sad, angry |
| 语速 | `audio_params.speech_rate` | [-50, 100], 0=normal |
| 音量 | `audio_params.loudness_rate` | [-50, 100], 0=normal |

## User Input Parsing

| User says | Parameter | Value |
|-----------|-----------|-------|
| 旁白/配音/朗读 | prompt + speaker | Ask for content first |
| 女声/female | speaker | e.g. `zh_female_vv_uranus_bigtts` |
| 男声/male | speaker | e.g. `zh_male_sophie_uranus_bigtts` |
| 语速快/slow | audio_params.speech_rate | Positive/negative value |
| expressive/standard | model | Sub-model selection |

## Script Usage

```bash
# List available TTS models
python3 {baseDir}/scripts/ima_tts_create.py --api-key $IMA_API_KEY --list-models

# Generate speech (default model: seed-tts-2.0)
python3 {baseDir}/scripts/ima_tts_create.py \
  --api-key $IMA_API_KEY \
  --model-id seed-tts-2.0 \
  --prompt "Text to be spoken here." \
  --user-id {user_id} \
  --output-json

# With speaker and emotion
python3 {baseDir}/scripts/ima_tts_create.py \
  --api-key $IMA_API_KEY \
  --model-id seed-tts-2.0 \
  --prompt "阳光青年音色测试,你好世界。" \
  --extra-params '{"model":"seed-tts-2.0-expressive","speaker":"zh_male_sophie_uranus_bigtts","audio_params":{"emotion":"neutral"}}' \
  --user-id {user_id} \
  --output-json
```

## Sending Results to User

```python
# ✅ CORRECT: Use remote URL directly
message(action="send", media=audio_url, caption="✅ 语音合成成功!\n• 模型:[Name]\n• 耗时:[X]s\n• 积分:[N pts]\n\n🔗 原始链接:[url]")

# ❌ WRONG: Never download to local file
```

## UX Protocol (Brief)

1. **Pre-generation:** "🔊 开始语音合成… 模型:[Name],预计[X~Y]秒,消耗[N]积分"
2. **Progress:** Every 10-15s: "⏳ 语音合成中… [P]%"
3. **Success:** Send audio via `media=audio_url` + include link in caption
4. **Failure:** Natural language error + suggest retry. See SKILL-DETAIL.md for error translation.

**Never say to users:** script names, API endpoints, attribute_id, technical parameter names.

## Environment

Base URL: `https://api.imastudio.com`
Headers: `Authorization: Bearer $IMA_API_KEY` · `x-app-source: ima_skills` · `x_app_language: en`

## Core Flow

1. `GET /open/v1/product/list?app=ima&platform=web&category=text_to_speech` → get `attribute_id`, `credit`
2. `POST /open/v1/tasks/create` → get `task_id`
3. `POST /open/v1/tasks/detail` → poll every 2-5s until `resource_status==1`

**MANDATORY:** Always query product list first. `attribute_id` is required.

## Estimated Generation Time

| Model | Estimated Time | Poll Every |
|-------|---------------|------------|
| seed-tts-2.0 | 5~30s | 3s |

## User Preference Memory

Storage: `~/.openclaw/memory/ima_prefs.json`
- **Save** when user explicitly says "用XXX音色" / "默认用XXX"
- **Clear** when user says "换个音色" / "推荐一个"

## Popular Speakers (Quick Reference)

| Category | Speaker Name | speaker ID |
|----------|-------------|------------|
| 通用 | 魅力苏菲 | `zh_male_sophie_uranus_bigtts` |
| 通用 | Vivi | `zh_female_vv_uranus_bigtts` |
| 通用 | 云舟 | `zh_male_m191_uranus_bigtts` |
| 视频配音 | 大壹 | `zh_male_dayi_uranus_bigtts` |
| 角色扮演 | 知性灿灿 | `zh_female_cancan_uranus_bigtts` |

**Full speaker list:** See `volcengine_tts_timbre_list.json` in project or SKILL-DETAIL.md.

**⚠️ Important:** Use native format (`*_uranus_bigtts`), NOT `BV*_streaming` format.

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