chough

Included with Lifetime

$97 forever

Fast ASR CLI tool for transcribing audio/video files. Use when user wants to transcribe audio/video, generate subtitles (VTT), convert speech to text with timestamps (JSON), or optimize transcription for low memory.

Image & Video

What this skill does


## Installation

**Arch Linux:** `paru -S chough-bin`
**macOS:** `brew install --cask hyperpuncher/tap/chough`
**Windows:** `winget install chough`
**Source:** `go install github.com/hyperpuncher/chough/cmd/chough@latest`

**Requires:** `ffmpeg` for audio/video support

## Quick Reference

```bash
# Basic transcription (text to stdout)
chough audio.mp3

# Pipe audio from stdin
cat audio.mp3 | chough

# JSON with timestamps
chough -f json podcast.mp3 > transcript.json

# WebVTT subtitles
chough -f vtt -o subs.vtt video.mp4

# Low memory (30s chunks)
chough -c 30 audiobook.mp3

# Use remote server (requires CHOUGH_URL)
chough --remote audio.mp3
```

## Flags

| Flag               | Description                      | Default |
| ------------------ | -------------------------------- | ------- |
| `-c, --chunk-size` | Chunk size in seconds            | 60      |
| `-f, --format`     | Output: text, json, vtt          | text    |
| `-o, --output`     | Output file                      | stdout  |
| `-r, --remote`     | Transcribe via CHOUGH_URL server | -       |
| `--version`        | Show version                     | -       |

## Chunk Size Guide

- **15-30s**: Low memory (~500MB), higher error rate
- **60s**: Balanced (default) - ~1.6GB RAM

## Remote Mode

Use `--remote` flag to transcribe via an HTTP server instead of local processing. Requires `CHOUGH_URL` environment variable.

```bash
# Set server URL
export CHOUGH_URL=http://localhost:8080

# Transcribe via remote server
chough --remote audio.mp3
```

Check for `CHOUGH_URL` env var → verify `/health` endpoint → use server if healthy, otherwise fallback to local CLI.

### Endpoints

| Method | Endpoint      | Description                                    |
| ------ | ------------- | ---------------------------------------------- |
| POST   | `/transcribe` | Transcribe audio (file upload, URL, or base64) |
| GET    | `/health`     | Health check with queue status                 |

### Examples

```bash
# Upload file
curl -X POST http://localhost:8080/transcribe \
  -F "[email protected]" \
  -F "format=json" \
  -F "chunk_size=60"

# Transcribe from URL
curl -X POST http://localhost:8080/transcribe \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/audio.mp3", "format": "vtt"}'

# Base64 audio
curl -X POST http://localhost:8080/transcribe \
  -H "Content-Type: application/json" \
  -d '{"base64": "...", "format": "text"}'

# Health check
curl http://localhost:8080/health
```

## Performance

| Duration | Time  | Speed          |
| -------- | ----- | -------------- |
| 15s      | 2.0s  | 7.4x realtime  |
| 1min     | 4.3s  | 14.1x realtime |
| 5min     | 16.2s | 18.5x realtime |
| 30min    | 90.2s | 19.9x realtime |

## Troubleshooting

**Out of memory:** Use `-c 30` or `-c 15`
**Model fails:** Check internet, verify `$XDG_CACHE_HOME` is writable
**ffmpeg errors:** Ensure ffmpeg is installed

## Notes

- First run downloads ~650MB model to `$XDG_CACHE_HOME/chough/models`
- Auto-extracts audio from video files
- Set `CHOUGH_MODEL` env var to use custom model path
- Set `CHOUGH_URL` env var for `--remote` mode (must start with `http://` or `https://`)
- VTT groups tokens into subtitle cues automatically

## Docs

- [GitHub](https://github.com/hyperpuncher/chough)

Files: 1

Size: 3.5 KB

Complexity: 7/100

Category: Image & Video

Source: https://github.com/hyperpuncher/dotagents/tree/main/skills/chough

Related in Image & Video

watch

Included

Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.

Image & Videoscriptsfeatured

physical-ai-defect-image-generation

Included

Use when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.

Image & Videoscripts

accelint-react-best-practices

Included

React performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.

Image & Videoscripts

elevenlabs-agents

Included

Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication

Image & Videoscripts

humanizer

Included

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.

Image & Videoscripts

generating-mermaid-diagrams

Included

Salesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.

Image & Videoscripts