# Use Cases

Mantis AI can be applied to a wide range of scenarios where audio processing is needed. This section provides detailed examples of how to use Mantis AI to solve real-world problems.

## Common Applications

### Business Applications

- [Meeting Transcription and Analysis](meetings.md): Automatically transcribe, summarize, and extract action items from meeting recordings.
- [Customer Service Analysis](customer-service.md): Process customer calls to identify common issues, sentiment, and improvement opportunities.
- [Sales Call Analysis](sales-calls.md): Extract insights from sales calls to improve conversion rates and identify successful patterns.

### Content Creation

- [Podcast Processing](podcasts.md): Transcribe and summarize podcast episodes for show notes, SEO, and content repurposing.
- [Video Content](video-content.md): Process YouTube videos and other video content for transcription, summarization, and analysis.
- [Lecture Processing](lectures.md): Convert educational content into searchable, summarized text for easier studying.

### Research and Education

- [Interview Analysis](interviews.md): Process research interviews to identify themes, patterns, and key insights.
- [Focus Group Processing](focus-groups.md): Analyze focus group recordings to extract valuable feedback and insights.
- [Educational Content](education.md): Create study materials from lecture recordings and educational videos.

## Getting Started with Use Cases

Each use case includes:

1. A detailed explanation of the problem being solved
2. Step-by-step code examples
3. Tips for customizing the solution for your specific needs
4. Common challenges and how to overcome them

Choose a use case from the list above to get started, or continue reading for general best practices when applying Mantis AI to your specific needs.

## Best Practices

When applying Mantis AI to your own use cases, consider these best practices:

### Crafting Effective Extraction Prompts

The quality of your extraction results depends heavily on the prompts you provide. Here are some tips:

- **Be specific**: Clearly define what information you want to extract
- **Provide context**: Include relevant background information in your prompt
- **Use examples**: For complex extractions, include examples of the desired output format
- **Break down complex tasks**: For multi-part extractions, consider making multiple calls with focused prompts

### Processing Large Audio Files

For long audio files (over 30 minutes), consider:

- Breaking the file into smaller segments for processing
- Using a more focused approach with extraction to target specific information
- Implementing progress tracking for better user experience

### Handling Multiple Files

When processing multiple files:

- Use asynchronous processing when possible
- Implement error handling to continue processing even if some files fail
- Consider batching files for more efficient processing 