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speechall-clispeechall CLI 命令行

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:speechall-cli(speechall CLI 命令行)
来源仓库:https://github.com/atacan/speechall-cli
安装命令:
openclaw skills install speechall-cli
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

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ClawHubOpenClaw
openclaw skills install speechall-cli

简介

安装并使用 voiceall CLI 工具进行语音转文本转录。当用户想要执行以下操作时使用:(1) 将音频或视频文件转录为文本,(2) 在 macOS 或 Linux 上安装 Speechall,(3) 列出可用的 STT 模型及其功能,(4) 使用终端中的说话者分类、字幕或其他转录功能。在提及语音、音频转录 CLI 或命令行中的语音转文本时触发。

SKILL.md

name
speechall-cli
description
Install and use the speechall CLI tool for speech-to-text transcription. Use when the user wants to: (1) transcribe audio or video files to text, (2) install speechall on macOS or Linux, (3) list available STT models and their capabilities, (4) use speaker diarization, subtitles, or other transcription features from the terminal. Triggers on mentions of speechall, audio transcription CLI, or speech-to-text from the command line.

speechall-cli

CLI for speech-to-text transcription via the Speechall API. Supports multiple providers (OpenAI, Deepgram, AssemblyAI, Google, Gemini, Groq, ElevenLabs, Cloudflare, and more).

Installation

Homebrew (macOS and Linux)

brew install Speechall/tap/speechall

Without Homebrew: Download the binary for your platform from https://github.com/Speechall/speechall-cli/releases and place it on your PATH.

Verify

speechall --version

Authentication

An API key is required. Provide it via environment variable (preferred) or flag:

export SPEECHALL_API_KEY="your-key-here"
# or
speechall --api-key "your-key-here" audio.wav

The user can create an API key on https://speechall.com/console/api-keys

Commands

transcribe (default)

Transcribe an audio or video file. This is the default subcommand — speechall audio.wav is equivalent to speechall transcribe audio.wav.

speechall <file> [options]

Options:

FlagDescriptionDefault
--model <provider.model>STT model identifieropenai.gpt-4o-mini-transcribe
--language <code>Language code (e.g. en, tr, de)API default (auto-detect)
--output-format <format>Output format (text, json, verbose_json, srt, vtt)API default
--diarizationEnable speaker diarizationoff
--speakers-expected <n>Expected number of speakers (use with --diarization)
--no-punctuationDisable automatic punctuation
--temperature <0.0-1.0>Model temperature
--initial-prompt <text>Text prompt to guide model style
--custom-vocabulary <term>Terms to boost recognition (repeatable)
--ruleset-id <uuid>Replacement ruleset UUID
--api-key <key>API key (overrides SPEECHALL_API_KEY env var)

Examples:

# Basic transcription
speechall interview.mp3

# Specific model and language
speechall call.wav --model deepgram.nova-2 --language en

# Speaker diarization with SRT output
speechall meeting.wav --diarization --speakers-expected 3 --output-format srt

# Custom vocabulary for domain-specific terms
speechall medical.wav --custom-vocabulary "myocardial" --custom-vocabulary "infarction"

# Transcribe a video file (macOS extracts audio automatically)
speechall presentation.mp4

models

List available speech-to-text models. Outputs JSON to stdout. Filters combine with AND logic.

speechall models [options]

Filter flags:

FlagDescription
--provider <name>Filter by provider (e.g. openai, deepgram)
--language <code>Filter by supported language (tr matches tr, tr-TR, tr-CY)
--diarizationOnly models supporting speaker diarization
--srtOnly models supporting SRT output
--vttOnly models supporting VTT output
--punctuationOnly models supporting automatic punctuation
--streamableOnly models supporting real-time streaming
--vocabularyOnly models supporting custom vocabulary

Examples:

# List all available models
speechall models

# Models from a specific provider
speechall models --provider deepgram

# Models that support Turkish and diarization
speechall models --language tr --diarization

# Pipe to jq for specific fields
speechall models --provider openai | jq '.[].identifier'

Tips

  • On macOS, video files (.mp4, .mov, etc.) are automatically converted to audio before upload.
  • On Linux, pass audio files directly (.wav, .mp3, .m4a, .flac, etc.).
  • Output goes to stdout. Redirect to save: speechall audio.wav > transcript.txt
  • Errors go to stderr, so piping stdout is safe.
  • Run speechall --help, speechall transcribe --help, or speechall models --help to see all valid enum values for model identifiers, language codes, and output formats.

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