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Feedback: guides-transcribing-github-files

Original URL: https://www.assemblyai.com/docs/guides/transcribing-github-files
Category: guides
Generated: 05/08/2025, 4:34:55 pm


Generated: 05/08/2025, 4:34:54 pm

Technical Documentation Analysis: Transcribing GitHub Files

Section titled “Technical Documentation Analysis: Transcribing GitHub Files”

This documentation covers the basic workflow but lacks depth and fails to address common user scenarios and potential issues. Here’s my detailed feedback:

  • Missing: No mention of API key requirements or setup
  • Add: Prerequisites section with account setup and API key configuration
  • Add: Links to getting started documentation
  • Missing: Comprehensive error scenarios and solutions
  • Add: Common error codes and troubleshooting steps
  • Add: What to do when GitHub rate limits are hit
  • Add: Handling network timeouts and retry logic

Current issue: Vague file requirements Improved version:

## Prerequisites
- AssemblyAI API key ([get one here](link))
- Audio files ≤100MB in supported formats (MP3, WAV, M4A, etc.)
- Public GitHub repository access
## Supported Audio Formats
- MP3, WAV, M4A, FLAC, OGG
- Maximum file size: 100MB
- For larger files, see our [file splitting guide](link)

Add visual clarity:

## Step 2: Get the Raw File URL
### Method 1: Via GitHub UI
1. Navigate to your audio file in the repository
2. Click the filename to open the file view
3. Right-click "View raw" → "Copy link address"
### Method 2: Construct URL manually
Format: `https://github.com/{username}/{repo}/raw/{branch}/{path/to/file}`
Example: `https://github.com/john-doe/my-audio/raw/main/recordings/interview.mp3`
⚠️ **Important**: The URL must point to the raw file, not the GitHub file viewer page

Current issue: Incomplete code snippets Improved version:

# Python - Complete Example
import assemblyai as aai
# Set your API key
aai.settings.api_key = "your-api-key-here"
# Initialize transcriber
transcriber = aai.Transcriber()
try:
# GitHub raw file URL
audio_url = "https://github.com/user/audio-files/raw/main/audio.mp3"
# Start transcription
transcript = transcriber.transcribe(audio_url)
# Check for errors
if transcript.status == aai.TranscriptStatus.error:
print(f"Transcription failed: {transcript.error}")
else:
print(f"Transcription completed: {transcript.text}")
except Exception as e:
print(f"Error: {e}")
// TypeScript - Complete Example
import { AssemblyAI } from 'assemblyai';
const client = new AssemblyAI({
apiKey: process.env.ASSEMBLYAI_API_KEY!
});
async function transcribeGitHubFile() {
try {
const audioUrl = "https://github.com/user/audio-files/raw/main/audio.mp3";
const transcript = await client.transcripts.transcribe({
audio_url: audioUrl
});
if (transcript.status === 'error') {
console.error('Transcription failed:', transcript.error);
return;
}
console.log('Transcription:', transcript.text);
} catch (error) {
console.error('Error:', error);
}
}
# Transcribing Audio Files from GitHub
## Overview
Brief explanation of when and why to use this method.
## Prerequisites
- API key setup
- File requirements
- Repository access
## Quick Start
- Minimal working example
## Step-by-Step Guide
- Detailed walkthrough
## Advanced Options
- Custom configurations
- Batch processing
## Troubleshooting
- Common issues and solutions
## Best Practices
- Security considerations
- Performance tips
## Related Guides
- Links to relevant documentation

Add warning section:

## ⚠️ Security Considerations
**Public Repository Requirement**: Files must be in public repositories, making them accessible to anyone with the URL.
**For sensitive content**:
- Use [private S3 buckets](link) instead
- Consider [signed URLs](link) for temporary access
- Implement [webhook-based processing](link)
## Working with Large Files
**If your file exceeds 100MB**:
1. Split audio using [these tools](link)
2. Use cloud storage ([S3 guide](link), [GCS guide](link))
3. Consider our [streaming API](link) for real-time processing
## Processing Multiple Files
```python
# Batch processing example
audio_files = [
"https://github.com/user/repo/raw/main/file1.mp3",
"https://github.com/user/repo/raw/main/file2.mp3"
]
for url in audio_files:
transcript = transcriber.transcribe(url)
print(f"File: {url.split('/')[-1]}")
print(f"Text: {transcript.text}\n")
## Common Issues
| Error | Cause | Solution |
|-------|--------|----------|
| "File not publicly accessible" | Private repo or incorrect URL | Verify repo is public and URL is raw file link |
| "Unsupported file format" | Wrong audio format | Convert to MP3, WAV, or other supported formats |
| "File too large" | File >100MB | Split file or use cloud storage |
  • How long does transcription take?
  • Can I use private repositories?
  • What happens if the GitHub file is deleted?
  • Are there rate limits?

Add clear next steps:

## What's Next?
- [Configure advanced transcription options](link)
- [Add speaker labels and timestamps](link)
- [Set up webhooks for automated processing](link)
- [Integrate with your application](link)

This improved structure would transform a basic guide into comprehensive documentation that addresses real user needs and reduces support requests.