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Feedback: guides-translate_subtitles

Original URL: https://www.assemblyai.com/docs/guides/translate_subtitles
Category: guides
Generated: 05/08/2025, 4:34:14 pm


Generated: 05/08/2025, 4:34:13 pm

Technical Documentation Analysis & Feedback

Section titled “Technical Documentation Analysis & Feedback”

This documentation provides a functional walkthrough but lacks depth, clarity, and user-friendly features. Here’s my detailed analysis with actionable improvements:

Problem: Code is fragmented across sections without a full, runnable example.

Solution: Add a complete script at the end:

translate_subtitles.py
import assemblyai as aai
from googletrans import Translator
# Set up API key
aai.settings.api_key = "YOUR_API_KEY"
# Initialize objects
transcriber = aai.Transcriber()
translator = Translator()
def translate_subtitles(audio_path, target_language='es'):
"""
Transcribe audio and translate subtitles to target language
Args:
audio_path (str): Path to audio file or URL
target_language (str): Target language code (default: 'es' for Spanish)
Returns:
str: Translated SRT subtitle text
"""
try:
# Transcribe audio
transcript = transcriber.transcribe(audio_path)
# Generate SRT subtitles
subtitle_transcript = transcript.export_subtitles_srt()
# Translate subtitles
translation = translator.translate(subtitle_transcript, dest=target_language)
return translation.text
except Exception as e:
print(f"Error: {e}")
return None
# Example usage
if __name__ == "__main__":
result = translate_subtitles("./my-audio.mp3", "es")
if result:
print(result)

Problem: No guidance on handling common failures.

Solution: Add error handling section:

## Error Handling
Common issues and solutions:
### Transcription Errors
```python
try:
transcript = transcriber.transcribe(audio_path)
if transcript.status == aai.TranscriptStatus.error:
print(f"Transcription failed: {transcript.error}")
return None
except Exception as e:
print(f"API Error: {e}")
try:
translation = translator.translate(subtitle_transcript, dest=target_language)
except Exception as e:
print(f"Translation failed: {e}")
# Consider using alternative translation service
### 3. **Missing Prerequisites & Setup Details**
**Problem**: Assumes too much user knowledge.
**Solution**: Expand prerequisites:
```markdown
## Prerequisites
Before starting, ensure you have:
1. **Python 3.7+** installed
2. **AssemblyAI API Key**
- [Sign up for free](https://assemblyai.com/dashboard/signup)
- Copy API key from dashboard
- Keep it secure (never commit to version control)
3. **Audio file** in supported format:
- Formats: MP3, MP4, WAV, FLAC, etc.
- Maximum file size: 2.2GB
- Maximum duration: 12 hours
### Environment Setup
```bash
# Create virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install packages
pip install -U assemblyai googletrans==4.0.0rc1

⚠️ Important: Use googletrans==4.0.0rc1 for better stability.

## 📝 Content & Structure Issues
### 4. **Improve Code Flow & Explanations**
**Problem**: Steps lack context and rationale.
**Solution**: Add explanatory text:
```markdown
## Step 3: Generate Subtitles
First, transcribe your audio file. AssemblyAI processes the audio and returns timing information needed for subtitles:
```python
transcript = transcriber.transcribe("./my-audio.mp3")
# Wait for transcription to complete
print(f"Transcription status: {transcript.status}")

The transcription includes word-level timestamps that enable precise subtitle timing.

Convert the transcript to SRT (SubRip Subtitle) format:

subtitle_transcript = transcript.export_subtitles_srt()
print("Sample SRT output:")
print(subtitle_transcript[:200] + "...")

SRT format includes:

  • Sequential numbering
  • Timestamps (start → end)
  • Subtitle text
### 5. **Add Practical Examples with Expected Output**
**Problem**: No sample outputs or realistic examples.
**Solution**: Include example outputs:
```markdown
## Example Output
### Original English SRT:

1 00:00:00,000 —> 00:00:03,000 Welcome to our presentation on machine learning.

2 00:00:03,000 —> 00:00:06,500 Today we’ll explore neural networks and their applications.

### Translated Spanish SRT:

1 00:00:00,000 —> 00:00:03,000 Bienvenido a nuestra presentación sobre aprendizaje automático.

2 00:00:03,000 —> 00:00:06,500 Hoy exploraremos las redes neuronales y sus aplicaciones.

Problem: Vague reference to “other languages.”

Solution: Create dedicated section:

## Supported Languages
### Popular Language Codes:
| Language | Code | Example |
|----------|------|---------|
| Spanish | `es` | `dest='es'` |
| French | `fr` | `dest='fr'` |
| German | `de` | `dest='de'` |
| Portuguese | `pt` | `dest='pt'` |
| Italian | `it` | `dest='it'` |
| Chinese (Simplified) | `zh-cn` | `dest='zh-cn'` |
| Japanese | `ja` | `dest='ja'` |
### Language Detection:
```python
# Auto-detect source language
detection = translator.detect(subtitle_transcript)
print(f"Detected language: {detection.lang} (confidence: {detection.confidence})")

View all supported languages →

## 🔧 Technical Improvements
### 7. **Add Advanced Features**
```markdown
## Advanced Usage
### Batch Translation for Multiple Languages:
```python
def translate_to_multiple_languages(subtitle_text, languages=['es', 'fr', 'de']):
"""Translate subtitles to multiple languages"""
translations = {}
for lang in languages:
try:
result = translator.translate(subtitle_text, dest=lang)
translations[lang] = result.text
except Exception as e:
translations[lang] = f"Error: {e}"
return translations
def save_translated_subtitles(translated_text, filename, language):
"""Save translated subtitles to file"""
output_filename = f"{filename}_{language}.srt"
with open(output_filename, 'w', encoding='utf-8') as f:
f.write(translated_text)
print(f"Saved: {output_filename}")
### 8. **Add Troubleshooting Section**
```markdown
## Troubleshooting
### Common Issues:
**Issue**: `googletrans` connection errors
**Solution**:
```python
# Add retry logic
import time
from googletrans import Translator
def translate_with_retry(text, dest_lang, max_retries=3):
for attempt in range(max_retries):
try:
translator = Translator()
result = translator.translate(text, dest=dest_lang)
return result.text
except Exception as e:
if attempt < max_retries - 1:
time.sleep(2 ** attempt) # Exponential backoff
---