Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
openai-tts-python
Text-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio. Supports 6 voices (alloy, echo, fable, onyx, nova, shimmer), speed control (0.25x-4.0x), HD quality model, multiple output formats (mp3, opus, aac, flac), and automatic text chunking for long content (4096 char limit per request). Use when: (1) User requests audio/voice output with triggers like "read this to me", "convert to audio", "generate speech", "text to speech", "tts", "narrate", "speak", or when keywords "openai tts", "voice", "podcast" appear. (2) Content needs to be spoken rather than read (multitasking, accessibility). (3) User wants specific voice preferences like "alloy", "echo", "fable", "onyx", "nova", "shimmer" or speed adjustments.
skill openclawclawhub Free
Text-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio. Supports 6 voices (alloy, echo, fable, onyx, nova, shimmer), speed control (0.25x-4.0x), HD quality model, multiple output formats (mp3, opus, aac, flac), and automatic text chunking for long content (4096 char limit per request). Use when: (1) User requests audio/voice output with triggers like "read this to me", "convert to audio", "generate speech", "text to speech", "tts", "narrate", "speak", or when keywords "openai tts", "voice", "podcast" appear. (2) Content needs to be spoken rather than read (multitasking, accessibility). (3) User wants specific voice preferences like "alloy", "echo", "fable", "onyx", "nova", "shimmer" or speed adjustments.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, skill.md, openai_tts.py, manifest.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- merend
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenAI TTS
Text-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio from text.
Features
6 different voice options (male/female) Standard and HD quality models Automatic text chunking for long content (4096 char limit) Multiple output formats (mp3, opus, aac, flac)
Activation
This skill activates when the user: Requests audio/voice output: "read this to me", "convert to audio", "generate speech", "make this an audio file" Uses keywords: "tts", "openai tts", "text to speech", "voice", "audio", "podcast" Needs content spoken for accessibility, multitasking, or podcast creation Specifies voice preferences: "alloy", "echo", "fable", "onyx", "nova", "shimmer" Asks to "narrate", "speak", or "vocalize" text
Requirements
OPENAI_API_KEY environment variable must be set Python 3.8+ Dependencies: openai, pydub (optional, for long text)
Voices
VoiceTypeDescriptionalloyNeutralBalanced, versatileechoMaleWarm, conversationalfableNeutralExpressive, storytellingonyxMaleDeep, authoritativenovaFemaleFriendly, upbeatshimmerFemaleClear, professional
Basic Usage
from openai import OpenAI import os client = OpenAI(api_key=os.getenv('OPENAI_API_KEY')) response = client.audio.speech.create( model="tts-1", # or "tts-1-hd" for higher quality voice="onyx", # choose from: alloy, echo, fable, onyx, nova, shimmer input="Your text here", speed=1.0 # 0.25 to 4.0 (optional) ) with open("output.mp3", "wb") as f: for chunk in response.iter_bytes(): f.write(chunk)
Command Line
# Basic python -c " from openai import OpenAI client = OpenAI() response = client.audio.speech.create(model='tts-1', voice='onyx', input='Hello world') open('output.mp3', 'wb').write(response.content) "
Long Text (Auto-chunking)
from openai import OpenAI from pydub import AudioSegment import tempfile import os import re client = OpenAI() MAX_CHARS = 4096 def split_text(text): if len(text) <= MAX_CHARS: return [text] chunks = [] sentences = re.split(r'(?<=[.!?])\s+', text) current = '' for sentence in sentences: if len(current) + len(sentence) + 1 <= MAX_CHARS: current += (' ' if current else '') + sentence else: if current: chunks.append(current) current = sentence if current: chunks.append(current) return chunks def generate_tts(text, output_path, voice='onyx', model='tts-1'): chunks = split_text(text) if len(chunks) == 1: response = client.audio.speech.create(model=model, voice=voice, input=text) with open(output_path, 'wb') as f: f.write(response.content) else: segments = [] for chunk in chunks: response = client.audio.speech.create(model=model, voice=voice, input=chunk) with tempfile.NamedTemporaryFile(suffix='.mp3', delete=False) as tmp: tmp.write(response.content) segments.append(AudioSegment.from_mp3(tmp.name)) os.unlink(tmp.name) combined = segments[0] for seg in segments[1:]: combined += seg combined.export(output_path, format='mp3') return output_path # Usage generate_tts("Your long text here...", "output.mp3", voice="nova")
Models
ModelQualitySpeedCosttts-1StandardFast$0.015/1K charstts-1-hdHigh DefinitionSlower$0.030/1K chars
Output Formats
Supported formats: mp3 (default), opus, aac, flac response = client.audio.speech.create( model="tts-1", voice="onyx", input="Hello", response_format="opus" # or mp3, aac, flac )
Error Handling
from openai import OpenAI, APIError, RateLimitError import time client = OpenAI() def generate_with_retry(text, voice='onyx', max_retries=3): for attempt in range(max_retries): try: response = client.audio.speech.create( model="tts-1", voice=voice, input=text ) return response.content except RateLimitError: if attempt < max_retries - 1: time.sleep(2 ** attempt) # Exponential backoff continue raise except APIError as e: print(f"API Error: {e}") raise return None
Convert Article to Podcast
def article_to_podcast(article_text, output_file): intro = "Welcome to today's article reading." outro = "Thank you for listening." full_text = f"{intro}\n\n{article_text}\n\n{outro}" generate_tts(full_text, output_file, voice='nova', model='tts-1-hd') print(f"Podcast saved to {output_file}")
Batch Processing
def batch_tts(texts, output_dir, voice='onyx'): import os os.makedirs(output_dir, exist_ok=True) for i, text in enumerate(texts): output_path = os.path.join(output_dir, f"audio_{i+1}.mp3") generate_tts(text, output_path, voice=voice) print(f"Generated: {output_path}")
Links
OpenAI TTS Documentation OpenAI API Reference Pricing
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- README.md
- skill.md
- openai_tts.py
- manifest.json