assemblyai-transcribe

v0.1.0a5 safe
1.0
Low Risk

Small CLI for uploading local audio to AssemblyAI and printing or saving transcripts.

🤖 AI Analysis

Final verdict: SAFE

The package assemblyai-transcribe has a very low risk score due to the absence of any potentially harmful activities such as network calls, shell executions, obfuscations, or credential harvesting.

  • No network calls detected
  • No shell execution patterns found
  • No obfuscation or credential harvesting patterns observed
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a transcription tool.
  • Shell: No shell execution patterns detected, indicating no direct system command execution risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2496 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with assemblyai-transcribe 
Create a fully-functional mini-app called 'AudioTranscriber' using the Python package 'assemblyai-transcribe'. This app will serve as a simple command-line interface (CLI) tool designed to help users transcribe their local audio files into text. Here are the key steps and features your application should include:

1. **Setup**: Ensure you have Python installed on your machine. Install the required packages, including 'assemblyai-transcribe', via pip.
2. **Authentication**: Prompt the user to input their API key from AssemblyAI, which will be used to authenticate requests to the AssemblyAI service.
3. **File Selection**: Allow users to select one or more audio files from their local directory. The app should support common audio formats like MP3, WAV, and FLAC.
4. **Transcription Process**: Use 'assemblyai-transcribe' to upload the selected audio file(s) to AssemblyAI's servers and initiate the transcription process. Display a progress indicator while the transcription is being processed.
5. **Output Options**: Provide options for the user to choose where they want the transcript outputted - either printed to the console or saved as a text file in a specified location.
6. **Error Handling**: Implement robust error handling to manage issues such as invalid file formats, network errors during transcription, and incorrect API keys.
7. **User Interface**: Design a clean and intuitive CLI interface that guides the user through each step of the process clearly and concisely.
8. **Advanced Features (Optional)**: Consider adding advanced features such as real-time transcription updates, support for multiple languages, and integration with cloud storage services for saving transcripts.

By following these guidelines, you'll create a powerful yet straightforward tool for anyone needing to quickly transcribe audio files into readable text.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!