assemblyai

v0.64.4 safe
1.0
Low Risk

AssemblyAI Python SDK

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk across all assessed categories, including network, shell execution, obfuscation, and credential handling. There is no indication of malicious activity or supply-chain compromise.

  • Low network risk as expected for an API client.
  • No evidence of shell execution, obfuscation, or credential harvesting.
Per-check LLM notes
  • Network: The observed network calls are typical for an API client that interacts with external services.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "API Documentation" -> https://www.assemblyai.com/docs/
  • Detailed PyPI description (31943 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 172 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 23 unique contributor(s) across 100 commits in AssemblyAI/assemblyai-python-sdk
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • self._http_client = httpx.Client( base_url=self.settings.base_url, he
  • self._http_client = httpx.AsyncClient( base_url="https://" + self._api_host,
  • self._http_client = httpx.Client( base_url="https://" + api_host, hea
✓ 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: assemblyai.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AssemblyAI/assemblyai-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AssemblyAI" 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 
Create a voice-to-text transcription service using the AssemblyAI Python SDK. Your goal is to develop a simple yet powerful command-line tool that allows users to upload audio files and receive real-time transcriptions. This tool should be user-friendly and capable of handling various types of audio files efficiently.

### Project Overview:
- **Name:** VoiceTranscribe
- **Purpose:** Convert uploaded audio files into text transcripts.
- **Features:**
  - Upload any supported audio file type.
  - Display the transcription process status.
  - Save the final transcript to a specified location.
  - Provide options for adjusting transcription settings such as speaker separation.
  - Support multiple languages.

### Steps to Build:
1. **Setup Environment:** Install Python and necessary libraries including `assemblyai`.
2. **API Setup:** Register for an API key from AssemblyAI and configure your environment to use it.
3. **User Interface Design:** Develop a simple command-line interface (CLI) for interacting with the application.
4. **File Handling:** Implement functionality to accept audio files from the user and validate their format.
5. **Transcription Process:** Use the AssemblyAI SDK to initiate the transcription process on the uploaded file.
6. **Status Updates:** Display real-time updates about the transcription progress.
7. **Output Management:** Once completed, save the transcription text to a user-specified file path.
8. **Enhancements:** Add additional features like language detection and speaker separation based on user input.

### Utilizing AssemblyAI SDK:
- **Upload Audio Files:** Use the SDK's upload methods to send audio files to AssemblyAI's servers.
- **Transcription Control:** Leverage the SDK to manage transcription tasks, including starting, stopping, and monitoring them.
- **Retrieve Transcripts:** After transcription, fetch the results using the SDK and handle them accordingly.
- **Error Handling:** Implement robust error handling to manage issues like network failures or invalid inputs.

By following these steps, you will create a versatile tool that can significantly enhance the accessibility and usability of audio content.

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