Feedback: guides-audio-intelligence

Documentation Feedback

Original URL: https://www.assemblyai.com/docs/guides/audio-intelligence
Category: guides
Generated: 05/08/2025, 4:43:56 pm

---

Claude Sonnet 4 Feedback

Generated: 05/08/2025, 4:43:55 pm

Technical Documentation Analysis & Feedback

Overall Assessment

This documentation serves as a landing page but falls short of providing meaningful guidance for users interested in Audio Intelligence features. It requires significant improvements to become a valuable resource.

Critical Issues & Recommendations

1. Missing Core Information

Problem: The overview lacks essential context and foundational information.

Recommendations:

• Add a proper introduction explaining what Audio Intelligence models are
• Include a feature comparison table showing capabilities, accuracy levels, and use cases
• Provide prerequisite information (API access, supported formats, etc.)
• Add pricing/usage limit information

Improved Overview Example:

# Audio Intelligence Overview

AssemblyAI's Audio Intelligence models provide advanced audio analysis capabilities beyond basic speech-to-text transcription. These AI-powered models can detect sentiment, identify speakers, flag inappropriate content, extract key insights, and more.

## Available Models
| Feature | Description | Use Cases |
|---------|-------------|-----------|
| Content Moderation | Detects hate speech, profanity, and sensitive content | Social media, education platforms |
| Entity Detection | Identifies and redacts PII (names, SSNs, addresses) | Healthcare, legal, compliance |
| Auto Chapters | Creates topic-based segments with summaries | Podcasts, meetings, lectures |
| Key Phrases | Extracts important terms and highlights | Research, content analysis |

## Getting Started
- **Prerequisites**: AssemblyAI API key, audio files in supported formats (MP3, WAV, M4A)
- **Supported Languages**: English (with limited support for Spanish, French)
- **File Limits**: Up to 5GB per file, 12 hours maximum duration

2. Poor Content Structure

Problem: The page is just a list of links without logical organization or user journey guidance.

Recommendations:

• Group features by category (Content Safety, Privacy & Compliance, Content Enhancement, Analytics)
• Add difficulty levels (Beginner, Intermediate, Advanced)
• Include estimated completion times
• Provide a “Quick Start” path for new users

Improved Structure Example:

## Quick Start (5 minutes)
→ [Basic Audio Intelligence Setup](/docs/guides/audio-intelligence-quickstart)

## Content Safety & Moderation
🔰 **Beginner** (10 min) → [Detecting Inappropriate Content](/docs/guides/content-moderation-basics)
🔶 **Intermediate** (15 min) → [Identifying hate speech in audio or video files](/docs/guides/identifying-hate-speech-in-audio-or-video-files)

## Privacy & Compliance
🔰 **Beginner** (10 min) → [Understanding PII Detection](/docs/guides/pii-detection-overview)
🔶 **Intermediate** (20 min) → [Redact PII Entities in a Transcript with Entity Detection](/docs/guides/entity_redaction)

3. Missing Context and Examples

Problem: No preview of what users will accomplish or code samples.

Recommendations:

• Add brief descriptions for each guide explaining the outcome
• Include code snippets showing the basic API call structure
• Provide before/after examples of processed audio

Example Enhancement:

### Identifying Hate Speech in Audio Files
Automatically detect and flag inappropriate content in audio/video uploads.

**What you'll build**: A content moderation system that processes uploaded media and returns confidence scores for hate speech detection.

```python
# Basic API call
response = client.transcribe(
    audio_url="your-audio-file.mp3",
    content_safety=True
)
print(response.content_safety_labels)

Outcome: [{"label": "hate_speech", "confidence": 0.89, "timestamp": "12.5s"}]

### 4. **Technical Implementation Gaps**

**Problem**: No information about integration complexity or requirements.

**Recommendations**:
- Add a technical requirements section
- Include common integration patterns
- Provide troubleshooting links
- Add performance expectations

**Addition Needed**:
```markdown
## Integration Requirements
- **SDK Support**: Python, Node.js, cURL
- **Processing Time**: ~0.15x audio duration (e.g., 10-minute file = ~1.5 minutes processing)
- **Rate Limits**: 100 concurrent requests, 1000 requests/hour (Free tier)
- **Webhooks**: Available for async processing notifications

## Common Integration Patterns
- **Batch Processing**: Upload multiple files for overnight processing
- **Real-time Analysis**: Stream audio for live content moderation
- **Hybrid Approach**: Combine multiple Audio Intelligence features in single API call

5. User Experience Issues

Problem: No clear path for different user types or use cases.

Recommendations:

• Add user persona-based navigation
• Include use case scenarios
• Provide decision trees for feature selection

Improvement Example:

## Choose Your Path

### 👩‍💼 **Content Manager**
You need to moderate user-generated audio content
→ Start with [Content Moderation Guide]

### 🏥 **Healthcare Developer**
You're building HIPAA-compliant transcription
→ Start with [PII Redaction Guide]

### 🎙️ **Podcast Producer**
You want to auto-generate episode chapters
→ Start with [Podcast Summarization Guide]

### 📊 **Data Analyst**
You need to extract insights from meeting recordings
→ Start with [Meeting Analytics Guide]

Additional Recommendations

1. Add FAQ Section: Address common questions about accuracy, supported languages, and pricing
2. Include Performance Metrics: Provide accuracy percentages and processing speed benchmarks
3. Create Comparison Guide: Help users choose between different Audio Intelligence features
4. Add Visual Elements: Include diagrams showing the audio processing pipeline
5. Implement Progressive Disclosure: Start with basic concepts, then link to advanced topics

Priority Actions

1. High Priority: Add comprehensive overview and feature descriptions
2. High Priority: Reorganize content with clear user paths
3. Medium Priority: Add code examples and technical requirements
4. Medium Priority: Include performance expectations and limitations
5. Low Priority: Add visual elements and advanced comparison features

This documentation needs substantial content addition and restructuring to serve users effectively.

---