assemblyai-hello-world

Create a minimal working AssemblyAI transcription example. Use when starting a new AssemblyAI integration, testing your setup, or learning basic transcription patterns. Trigger with phrases like "assemblyai hello world", "assemblyai example", "assemblyai quick start", "simple assemblyai transcription".

1,868 stars

Best use case

assemblyai-hello-world is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Create a minimal working AssemblyAI transcription example. Use when starting a new AssemblyAI integration, testing your setup, or learning basic transcription patterns. Trigger with phrases like "assemblyai hello world", "assemblyai example", "assemblyai quick start", "simple assemblyai transcription".

Teams using assemblyai-hello-world should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/assemblyai-hello-world/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/assemblyai-pack/skills/assemblyai-hello-world/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/assemblyai-hello-world/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How assemblyai-hello-world Compares

Feature / Agentassemblyai-hello-worldStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Create a minimal working AssemblyAI transcription example. Use when starting a new AssemblyAI integration, testing your setup, or learning basic transcription patterns. Trigger with phrases like "assemblyai hello world", "assemblyai example", "assemblyai quick start", "simple assemblyai transcription".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# AssemblyAI Hello World

## Overview
Minimal working examples demonstrating AssemblyAI's three core capabilities: async transcription, audio intelligence features, and LeMUR (LLM-powered analysis).

## Prerequisites
- Completed `assemblyai-install-auth` setup
- Valid API key configured in `ASSEMBLYAI_API_KEY`

## Instructions

### Step 1: Basic Transcription (Remote URL)

```typescript
import { AssemblyAI } from 'assemblyai';

const client = new AssemblyAI({
  apiKey: process.env.ASSEMBLYAI_API_KEY!,
});

async function transcribeUrl() {
  const transcript = await client.transcripts.transcribe({
    audio: 'https://storage.googleapis.com/aai-web-samples/5_common_sports_702.wav',
  });

  if (transcript.status === 'error') {
    throw new Error(`Transcription failed: ${transcript.error}`);
  }

  console.log('Transcript:', transcript.text);
  console.log('Duration:', transcript.audio_duration, 'seconds');
  console.log('Word count:', transcript.words?.length);
}

transcribeUrl().catch(console.error);
```

### Step 2: Transcribe a Local File

```typescript
async function transcribeLocal() {
  // The SDK handles upload automatically when you pass a local path
  const transcript = await client.transcripts.transcribe({
    audio: './recording.mp3',
  });

  console.log('Transcript:', transcript.text);

  // Access word-level timestamps
  for (const word of transcript.words ?? []) {
    console.log(`[${word.start}ms - ${word.end}ms] ${word.text} (${word.confidence})`);
  }
}
```

### Step 3: Enable Audio Intelligence Features

```typescript
async function transcribeWithIntelligence() {
  const transcript = await client.transcripts.transcribe({
    audio: 'https://storage.googleapis.com/aai-web-samples/5_common_sports_702.wav',
    speaker_labels: true,       // Who said what
    auto_highlights: true,       // Key phrases extraction
    sentiment_analysis: true,    // Sentiment per sentence
    entity_detection: true,      // Named entities (people, orgs, locations)
    summarization: true,         // Auto-summary
    summary_model: 'informative',
    summary_type: 'bullets',
  });

  // Speaker diarization
  for (const utterance of transcript.utterances ?? []) {
    console.log(`Speaker ${utterance.speaker}: ${utterance.text}`);
  }

  // Key phrases
  for (const result of transcript.auto_highlights_result?.results ?? []) {
    console.log(`Key phrase: "${result.text}" (mentioned ${result.count} times)`);
  }

  // Sentiment analysis
  for (const result of transcript.sentiment_analysis_results ?? []) {
    console.log(`${result.sentiment}: "${result.text}"`);
  }

  // Summary
  console.log('Summary:', transcript.summary);
}
```

### Step 4: LeMUR — Ask Questions About Your Audio

```typescript
async function lemurDemo() {
  // First, transcribe
  const transcript = await client.transcripts.transcribe({
    audio: 'https://storage.googleapis.com/aai-web-samples/5_common_sports_702.wav',
  });

  // Then use LeMUR to analyze
  const { response } = await client.lemur.task({
    transcript_ids: [transcript.id],
    prompt: 'Summarize the key topics discussed and list any action items mentioned.',
  });

  console.log('LeMUR response:', response);
}
```

## Output
- Working transcription from a remote URL or local file
- Word-level timestamps with confidence scores
- Speaker-labeled utterances (diarization)
- Key phrases, sentiment analysis, entity detection
- LeMUR-powered summarization and Q&A

## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| `transcript.status === 'error'` | Bad audio URL/format | Verify URL is publicly accessible, supported format |
| `Authentication error` | Invalid API key | Check `ASSEMBLYAI_API_KEY` environment variable |
| `File not found` | Wrong local path | Verify file exists at the specified path |
| `Unsupported audio format` | Incompatible format | Use MP3, WAV, M4A, FLAC, OGG, or WebM |

## Resources
- [Transcribe an Audio File](https://www.assemblyai.com/docs/getting-started/transcribe-an-audio-file)
- [Audio Intelligence Models](https://www.assemblyai.com/docs/audio-intelligence)
- [LeMUR Documentation](https://www.assemblyai.com/docs/lemur)
- [Supported File Types](https://www.assemblyai.com/docs/concepts/faq#what-audio-and-video-formats-are-supported)

## Next Steps
Proceed to `assemblyai-local-dev-loop` for development workflow setup.

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