GB-Power-Market-JJ article-tts

拍照或文字转音频：文章照片 OCR 提取文字，或直接接收文字，生成 Microsoft Edge TTS 语音，支持中英文、自动转写、语速调节、逐句拆分。| Capture article photos (OCR) or plain text, generate natural audio via Edge TTS. Bilingual support (EN/ZH), configurable speed, voice, and sentence splitting.

install

source · Clone the upstream repo

git clone https://github.com/GeorgeDoors888/GB-Power-Market-JJ

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/GeorgeDoors888/GB-Power-Market-JJ "$T" && mkdir -p ~/.claude/skills && cp -r "$T/openclaw-skills/skills/54meteor/article-tts" ~/.claude/skills/georgedoors888-gb-power-market-jj-article-tts && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/GeorgeDoors888/GB-Power-Market-JJ "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/openclaw-skills/skills/54meteor/article-tts" ~/.openclaw/skills/georgedoors888-gb-power-market-jj-article-tts && rm -rf "$T"

manifest: openclaw-skills/skills/54meteor/article-tts/SKILL.md

source content

Article TTS Skill

Default Configuration

参数	默认值	说明
`lang`	`en`	语言： `en` 或 `zh`
`skipConfirmation`	`false`	是否跳过文字确认步骤
`speed`	`90%`	TTS 语速（ `--rate=-10%` = 90%）
`voice`	`en-US-EmmaNeural` （英文）/ `zh-CN-XiaoxiaoNeural` （中文）	TTS 声音
`splitSentences`	`false`	是否生成按句拆分的音频

Supported Languages

语言	OCR 语言包	TTS Voice
`en`	`eng` （预装）	`en-US-EmmaNeural`
`zh`	`chi_sim` （需安装）	`zh-CN-XiaoxiaoNeural`

中文 OCR 语言包安装：
Linux（WSL/Debian/Ubuntu）：
apt-get install tesseract-ocr-chi-sim
macOS：
brew install tesseract-lang
（自带中文）
Windows：下载
chi_sim.traineddata
放入 Tesseract 安装目录的
tessdata
文件夹

Workflow

Input Types

图片：OCR 提取文字（需要
```
lang
```
指定语言）
纯文字：直接 TTS，无需 OCR

Standard Flow（默认，需确认）

图片 → OCR 提取文字 → 展示给用户确认 → 用户确认 → 生成 TTS → 发送
文字 → 直接生成 TTS → 发送

Skip-Confirmation Flow ⚠️

用户说"不需要确认"或"直接生成"时，跳过确认步骤。

⚠️ 安全提示：skipConfirmation 会跳过文字确认步骤，OCR 提取的文本（可能包含敏感信息）会直接转为音频并发送。适用于可信来源、低敏感内容。建议默认关闭（
skipConfirmation: false
）。

OCR Step

# 图片预处理
from PIL import Image, ImageOps
img = Image.open(image_path)
img = ImageOps.autocontrast(img.convert('L'), cutoff=10)
w, h = img.size
img = img.resize((w*4, h*4), Image.LANCZOS)
img.save('/tmp/ocr_input.jpg', quality=99)

# 英文
tesseract /tmp/ocr_input.jpg stdout -l eng --psm 4

# 中文
tesseract /tmp/ocr_input.jpg stdout -l chi_sim --psm 4

TTS Step

全文字频

uvx edge-tts \
  -t "FULL TEXT" \
  -v en-US-EmmaNeural \
  --rate=-10% \
  --write-media OUTPUT_DIR/full_article.mp3

# 中文
uvx edge-tts \
  -t "中文文字内容" \
  -v zh-CN-XiaoxiaoNeural \
  --rate=-10% \
  --write-media OUTPUT_DIR/full_article.mp3

按句拆分（仅 splitSentences=true）

import subprocess, re

def split_sentences(text, lang='en'):
    if lang == 'zh':
        # 中文按句号/感叹号/问号拆分
        sentences = re.split(r'(?<=[。！？])\s*', text)
    else:
        # 英文按 .!? 拆分
        sentences = re.split(r'(?<=[.!?])\s+', text)
    return [s.strip() for s in sentences if s.strip()]

sentences = split_sentences(text, lang=lang)
for i, sentence in enumerate(sentences, 1):
    num = str(i).zfill(2)
    voice = 'zh-CN-XiaoxiaoNeural' if lang == 'zh' else 'en-US-EmmaNeural'
    subprocess.run([
        "uvx", "edge-tts",
        "-t", sentence,
        "-v", voice,
        "--rate=-10%",
        "--write-media", f"OUTPUT_DIR/sentence_{num}.mp3"
    ])

Output Directory

/mnt/d/wslspace/workspace/articles/YYYY-MM-DD-article-slug/
├── original_text.md
├── full_article.mp3
└── sentence_01.mp3 ...

Sending via Message Channel

The agent detects the active channel from the runtime context and calls

message(...)

accordingly. No hardcoded channel — the agent uses whichever channel the user is currently chatting through.

# Detect active channel automatically (from runtime inbound metadata)
# channel is inferred: feishu / telegram / discord / whatsapp / signal / imessage / openclaw-weixin

# 发送全文
message(action="send", channel="{active_channel}",
        message="📄 全文音频",
        media="PATH/full_article.mp3",
        filename="full_article.mp3")

# 发送每句
for i, sentence in enumerate(sentences, 1):
    num = str(i).zfill(2)
    message(action="send", channel="{active_channel}",
            message=f"📝 {num}: {sentence}",
            media=f"PATH/sentence_{num}.mp3",
            filename=f"sentence_{num}.mp3")

Channel Behavior Notes

Channel	音频支持	备注
Feishu	✅	直接发送 mp3
Telegram	✅	直接发送 mp3
Discord	✅	作为附件发送
WhatsApp	✅	直接发送 mp3
Signal	⚠️	取决于信号强度，可能不支持
iMessage	⚠️	通过 macOS 发送，mp3 兼容性一般
WeChat Work	✅	同 Feishu

If the channel does not support audio, the agent saves the file to

OUTPUT_DIR

and sends the file path as a text message instead.

Available TTS Voices

English

en-US-EmmaNeural

en-US-BrianNeural

en-GB-LibbyNeural

, ...

Chinese

zh-CN-XiaoxiaoNeural

（女声）,

zh-CN-YunxiNeural

（男声）,

zh-CN-YunyangNeural

（新闻男声）, ...

查看完整列表：

uvx edge-tts -l | grep "zh-CN"

Notes

Tesseract + English 预装；中文需
```
apt-get install tesseract-ocr-chi-sim
```
edge-tts 通过
```
uvx
```
运行，无需安装
图片质量直接影响 OCR 效果，尽量保持光线充足、角度端正