fun-asr
Alibaba Bailian Fun-ASR recording transcription. Supports Chinese, English and other languages, with auto language detection and speaker diarization. Suitable for subtitles, transcription, and meeting notes.
Alibaba Bailian Fun-ASR recording transcription. Supports Chinese, English and other languages, with auto language detection and speaker diarization. Suitable for subtitles, transcription, and meeting notes.
Overview
| Field | Value |
|---|---|
| Model ID | fun-asr |
| CLI | dlazy fun-asr |
| MCP | fun-asr (Claude Code surfaces this as mcp__dlazy__fun-asr) |
| Type | text |
| Execution | Async task; the CLI polls until completion (--no-wait returns generateId immediately) |
| Batch | Supports --batch <n> parallel fan-out |
Parameters
| Arg | Type | Required | Notes |
|---|---|---|---|
audio_url | url | Yes | Audio URL; audio (accepts URL, local path, or data: URL) |
language_code | "zh" | "en" | No | Language; default "zh" |
diarize | string | No | Diarize Speakers; default false |
tag_audio_events | string | No | tag_audio_events; default false |
num_speakers | string | No | num_speakers |
--input @file.jsonor--input '{...}'can supply all args at once; flags take precedence over--inputkeys.
CLI Examples
dlazy fun-asr --help
dlazy fun-asr --audio_url "https://example.com/source.mp3"
dlazy fun-asr --audio_url "./local-audio.mp3"
dlazy fun-asr --audio_url "https://example.com/source.mp3" --dry-run
dlazy fun-asr --audio_url "https://example.com/source.mp3" --no-wait
dlazy fun-asr --audio_url "https://example.com/source.mp3" --batch 4Compose with a pipeline
dlazy gemini-2.5-tts --prompt "reference voice line" \
| dlazy fun-asr --audio_url -MCP
MCP is consumed by AI clients, not handwritten. Once dLazy is registered as an MCP server the tool appears in the client's tool list — Claude Code surfaces it as mcp__dlazy__fun-asr; generic clients (e.g. OpenClaw) call it as fun-asr.
See MCP setup for how to add the server.
Output
{
"outputs": [
{ "type": "json", "id": "o_...", "value": { /* tool-specific payload */ } }
]
}Structured payloads are returned as json outputs; the inner shape is tool-specific.
elevenlabs-stt
ElevenLabs scribe_v1 speech-to-text with auto language detection and optional speaker diarization. Suitable for subtitles, transcription, and meeting notes.
prompt
Prompt rewriting tool: rewrites user natural language into structured high-quality prompts directly usable for image/video/audio/Agent generation.