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Feedback: guides-translate_transcripts

Original URL: https://www.assemblyai.com/docs/guides/translate_transcripts
Category: guides
Generated: 05/08/2025, 4:34:18 pm


Generated: 05/08/2025, 4:34:17 pm

Technical Documentation Analysis & Improvement Recommendations

Section titled “Technical Documentation Analysis & Improvement Recommendations”

Problem: The documentation jumps into code without ensuring users can actually run it.

Missing Information:

  • No audio file preparation guidance
  • Incomplete Google Cloud setup (most complex part glossed over)
  • No error handling or troubleshooting
  • Missing dependency version compatibility information

Recommendation: Add a complete prerequisites section:

## Prerequisites & Setup
### 1. Prepare Your Audio File
- Supported formats: MP3, WAV, FLAC, M4A, etc.
- Place your audio file in the same directory as your script
- Rename it to `my-audio.mp3` or update the path in the code
### 2. AssemblyAI Setup
[existing content, but add validation step]
### 3. Choose Your Translation Provider
Before proceeding, you'll need to set up at least one translation service...

Problem: The flow doesn’t match typical user workflow - setup is incomplete, then suddenly jumps to different translation options.

Improved Structure:

# Translate AssemblyAI Transcripts Into Other Languages
## Overview
## Choosing a Translation Provider
## Complete Setup Guide
## Translation Methods
### Method 1: Google Translate (Recommended for Enterprise)
### Method 2: DeepL (Best Quality)
### Method 3: Open Source Options
## Complete Working Examples
## Troubleshooting
## Next Steps

Problem: No guidance on what happens when things go wrong.

Add Error Handling Examples:

# Add to each translation method
try:
transcript = transcriber.transcribe('./my-audio.mp3')
if transcript.status == aai.TranscriptStatus.error:
print(f"Transcription failed: {transcript.error}")
return
except Exception as e:
print(f"Error during transcription: {e}")
return
# Validate language detection
if not transcript.json_response.get('language_code'):
print("Warning: Language detection failed. Setting default...")
from_lang = 'auto' # or prompt user

Current: Vague bullet points about considerations.

Improved: Add a comparison table:

| Provider | Accuracy | Languages | Cost | Setup Complexity | Best For |
|----------|----------|-----------|------|------------------|----------|
| Google Translate | High | 100+ | Pay-per-use | Complex (GCP) | Enterprise, high volume |
| DeepL | Highest | 30+ | Free tier + paid | Simple | Quality-focused projects |
| translate-python | Variable | 100+ | Free | Very simple | Prototypes, low stakes |

Problem: “Follow Google’s docs” is not helpful in context.

Solution: Add step-by-step Google Cloud setup:

### Google Cloud Setup (Detailed Steps)
1. **Create a Google Cloud Project**
- Go to [Google Cloud Console](https://console.cloud.google.com/)
- Click "New Project"
- Name your project (e.g., "transcript-translation")
2. **Enable the Translation API**
- In your project, go to "APIs & Services" > "Library"
- Search for "Cloud Translation API"
- Click "Enable"
3. **Create Service Account Credentials**
- Go to "APIs & Services" > "Credentials"
- Click "Create Credentials" > "Service Account"
- Download the JSON key file
- Save it as `translate_creds.json` in your project folder
4. **Verify Setup**
```python
# Test your credentials
try:
translate_client = translate_v2.Client()
result = translate_client.get_languages()
print("✅ Google Translate setup successful!")
except Exception as e:
print(f"❌ Setup failed: {e}")
### 6. **Missing Complete Working Example**
**Problem**: Code is fragmented across sections.
**Solution**: Add a complete, runnable example at the end:
```python
"""
Complete Example: Translate AssemblyAI Transcript with DeepL
Run this after completing the setup steps above.
"""
import assemblyai as aai
import deepl
# Configuration
AAI_API_TOKEN = "your_assemblyai_token_here"
DEEPL_API_TOKEN = "your_deepl_token_here"
AUDIO_FILE_PATH = "./my-audio.mp3"
TARGET_LANGUAGE = "DE" # German
def main():
# Setup AssemblyAI
aai.settings.api_key = AAI_API_TOKEN
config = aai.TranscriptionConfig(language_detection=True)
transcriber = aai.Transcriber(config=config)
# Transcribe audio
print("🎵 Transcribing audio...")
transcript = transcriber.transcribe(AUDIO_FILE_PATH)
if transcript.status == aai.TranscriptStatus.error:
print(f"❌ Transcription failed: {transcript.error}")
return
print(f"✅ Transcription complete. Detected language: {transcript.json_response.get('language_code', 'unknown')}")
# Setup DeepL
translator = deepl.Translator(DEEPL_API_TOKEN)
# Translate sentences
print(f"🌐 Translating to {TARGET_LANGUAGE}...")
for i, sentence in enumerate(transcript.get_sentences(), 1):
try:
result = translator.translate_text(sentence.text, target_lang=TARGET_LANGUAGE)
print(f"\nSentence {i}:")
print(f"Original: {sentence.text}")
print(f"Translation: {result.text}")
except Exception as e:
print(f"❌ Translation failed for sentence {i}: {e}")
if __name__ == "__main__":
main()
## Common Issues & Solutions
### "No audio file found"
- Verify the file path is correct
- Ensure the file format is supported
- Check file permissions
### "Authentication failed" (Google)
- Verify your JSON credentials file path
- Ensure the Translation API is enabled in your GCP project
- Check that billing is enabled (required for API usage)
### "Invalid target language" (DeepL)
- DeepL uses specific language codes (e.g., "EN-US" not "en")
- Check supported languages: [DeepL Language Codes](https://www.deepl.com/docs-api/translate-text/)
### Translation quality is poor
- Try a different translation provider
- Consider translating paragraphs instead of individual sentences for better context
- Check if the source language was detected correctly

Add a section on:

  • How to estimate costs based on transcript length
  • Batch processing recommendations
  • Rate limiting considerations
  • When to translate full text vs. sentences vs. paragraphs

Current code lacks explanatory comments. Add context:

# Enable automatic language detection to identify the source language
config = aai.TranscriptionConfig(language_detection=True)
# This will be used to determine the source language for translation
from_lang = transcript.json_response['language_code']

These improvements would transform this from a fragmented code snippet collection into a comprehensive, user-friendly guide that actually helps users succeed with the task.