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Feedback: guides-detecting-low-confidence-words

Original URL: https://www.assemblyai.com/docs/guides/detecting-low-confidence-words
Category: guides
Generated: 05/08/2025, 4:41:49 pm


Generated: 05/08/2025, 4:41:48 pm

Technical Documentation Analysis: Detecting Low Confidence Words

Section titled “Technical Documentation Analysis: Detecting Low Confidence Words”

This documentation provides a functional code example but has several areas for improvement in clarity, structure, and user experience. Here’s my detailed feedback:

// INCORRECT - This won't work as shown
const transcript = await client.transcripts.transcribe({
audio_url: "./sample.mp4",
});

Problem: Local file paths cannot be used directly with audio_url. This will cause immediate failure.

Fix: Clarify the difference between local files and URLs:

// For URLs (remote files)
const transcript = await client.transcripts.transcribe({
audio_url: "https://example.com/audio.mp3",
});
// For local files
const transcript = await client.transcripts.transcribe({
audio: "./sample.mp4", // Note: different parameter name
});

The code lacks any error handling, which will frustrate users when things go wrong.

Add:

try {
const transcript = await client.transcripts.transcribe({
audio_url: "your-audio-url-here",
});
if (transcript.status === 'error') {
throw new Error(`Transcription failed: ${transcript.error}`);
}
} catch (error) {
console.error('Error:', error.message);
}

Current flow: Getting Started → Step-by-Step Instructions (but they’re not clearly numbered)

Improved structure:

# Detect Low Confidence Words in Transcripts
## Overview
- What are confidence scores?
- When to use this feature
- What you'll learn
## Prerequisites
- AssemblyAI account setup
- SDK installation
- Basic Node.js knowledge
## Implementation Guide
### Step 1: Initialize the Client
### Step 2: Transcribe Audio
### Step 3: Retrieve Sentences
### Step 4: Filter Low Confidence Words
### Step 5: Format Results
## Complete Example
## Troubleshooting
## Next Steps

The code is presented as disconnected snippets. Users need to see both individual steps AND a complete working example.

Add:

  • Node.js version requirements
  • Required AssemblyAI plan features
  • Estimated API costs/usage
  • Time expectations for transcription

Add explanation of:

  • Why 0.4 threshold was chosen
  • How to determine optimal thresholds for different use cases
  • Performance implications of different thresholds

Common issues to address:

  • Audio file format requirements
  • File size limitations
  • Network timeout issues
  • Invalid confidence threshold values

Current: “From there use the id from the transcript to request the transcript broken down into sentences.”

Better: “Once transcription is complete, we’ll use the transcript ID to fetch the same content organized by sentences, which makes it easier to identify problematic segments.”

// Unclear
const filterScores = filteredSentences.map(...)
// Better
const sentencesWithOnlyLowConfidenceWords = filteredSentences.map(...)

The example output appears without context. Add:

  • Explanation of what each field means
  • How to interpret the scores
  • What actions to take based on results
  1. Correct the audio file example - Show both local and remote file usage
  2. Add error handling throughout the code
  3. Number the steps clearly (Step 1, Step 2, etc.)
  4. Add a complete working example at the end
  1. Add a “What You’ll Build” section showing the expected output upfront
  2. Include a troubleshooting section with common errors
  3. Add validation examples for confidence thresholds
  4. Explain the business value - why detect low confidence words?
  1. Add navigation/table of contents for longer sections
  2. Include estimated time to complete (e.g., “⏱️ 10 minutes”)
  3. Add difficulty level (e.g., ”🟢 Beginner”)
  4. Cross-reference related guides
  1. Consistent formatting and indentation
  2. Meaningful variable names throughout
  3. Comments explaining business logic, not just syntax
  4. Type hints or JSDoc comments where helpful
  1. High Priority: Fix the audio file path issue
  2. High Priority: Add error handling
  3. Medium Priority: Restructure with clear steps
  4. Medium Priority: Add complete working example
  5. Low Priority: Enhance formatting and cross-references

This documentation has good technical content but needs significant improvements in presentation, error handling, and user guidance to provide a smooth developer experience.