Frequently Asked Questions
Frequently Asked Questions
Quick answers to the most common DeepTalk questions. For more detailed troubleshooting, see the Common Issues Guide.
Getting Started
What are the system requirements?
Minimum Requirements:
- Operating System: Windows 10, macOS 10.14, or Linux (Ubuntu 18.04+)
- RAM: 4GB (8GB recommended for large files)
- Storage: 2GB free space (more for large content libraries)
- CPU: Multi-core processor recommended
For Optimal Performance:
- RAM: 8GB+ for large files and projects
- Storage: SSD recommended, 10GB+ for content libraries
- CPU: 4+ cores for faster processing
- Network: Stable internet for external services
Do I need internet connection to use DeepTalk?
Basic Functionality: DeepTalk can work offline for:
- Viewing and editing existing transcripts
- Basic file management and organization
- Exporting content to various formats
Internet Required For:
- External transcription services (Speaches, cloud STT)
- AI analysis and chat (Ollama, cloud AI services)
- Software updates and feature downloads
- Community support and documentation access
What audio formats are supported?
Supported Audio Formats:
- MP3: Most common, universally supported
- WAV: High quality, uncompressed
- M4A: Apple format, good compression
- FLAC: Lossless compression
- OGG: Open source format
- AAC: Advanced Audio Coding
Supported Video Formats:
- MP4: Most common video format
- MOV: Apple video format
- AVI: Windows video format
- MKV: Matroska video format
File Size Limits:
- Maximum file size: 2GB per file
- Recommended size: Under 500MB for optimal performance
- Duration: No specific limit, but longer files take more time to process
Installation and Setup
How do I install external services?
For Speaches (Enhanced Transcription):
# Option 1: Direct Installation
pip install speaches
speaches serve --port 8000
# Option 2: Docker
docker run -p 8000:8000 speaches/server
For Ollama (AI Analysis):
# macOS/Linux
curl -fsSL https://ollama.ai/install.sh | sh
# Download models
ollama pull llama2
ollama serve
Configuration in DeepTalk:
- Open Settings → Services
- Set Speaches URL:
http://localhost:8000
- Set Ollama URL:
http://localhost:11434
- Test connections and verify functionality
Why can’t DeepTalk connect to external services?
Common Connection Issues:
Service Not Running:
- Verify Speaches/Ollama services are started
- Check service status in terminal/command prompt
- Restart services if necessary
Wrong URL Configuration:
- Default Speaches:
http://localhost:8000
- Default Ollama:
http://localhost:11434
- Verify URLs in DeepTalk Settings
Firewall/Network Issues:
- Check firewall settings allow local connections
- Verify no other software using the same ports
- Test connectivity with browser or curl
Service Configuration:
- Ensure services are configured to accept connections
- Check service logs for error messages
- Verify correct models are downloaded (for Ollama)
How do I update DeepTalk?
Automatic Updates:
- DeepTalk checks for updates automatically
- Notification appears when updates are available
- Follow prompts to download and install
Manual Update Process:
- Check current version: Help → About DeepTalk
- Download latest: Visit GitHub releases page
- Backup data: Export important projects and settings
- Install update: Run installer or replace application
- Verify functionality: Test key features after update
Update Best Practices:
- Backup before updating: Export critical content
- Read release notes: Understand new features and changes
- Test after update: Verify everything works as expected
- Report issues: Submit bugs if problems occur
Using DeepTalk
How can I improve transcription quality?
Audio Quality Optimization:
- Use high-quality recordings: Clear audio produces better transcripts
- Minimize background noise: Record in quiet environments
- Ensure good microphone placement: Close to speakers, avoid echo
- Use proper recording levels: Avoid distortion or very quiet audio
Service Configuration:
- Use enhanced services: Speaches provides better accuracy than basic STT
- Select appropriate models: Choose models optimized for your content type
- Configure language settings: Ensure correct language is selected
- Test different services: Compare results across different providers
Post-Processing Improvement:
- Review and edit transcripts: Manual correction improves accuracy
- Fix speaker labels: Correct speaker identification and names
- Add context: Include background information for better understanding
- Use consistent terminology: Maintain consistent vocabulary across transcripts
How can I improve analysis quality?
Content Preparation:
- High-quality transcripts: Accurate transcripts produce better analysis
- Complete speaker information: Proper speaker identification helps analysis
- Contextual information: Add relevant background and context
- Consistent formatting: Well-formatted transcripts analyze better
AI Service Optimization:
- Use appropriate models: Select models suitable for your content type
- Configure analysis parameters: Adjust depth and focus areas
- Provide clear prompts: Specific analysis requests produce better results
- Use context effectively: Include relevant background information
Analysis Customization:
- Custom prompts: Create specialized analysis templates
- Focus areas: Specify what aspects to emphasize
- Industry-specific analysis: Tailor analysis for your domain
- Iterative improvement: Refine analysis based on results
How should I organize my projects?
Project Structure Strategy:
- Purpose-based: Organize by project goal or outcome
- Time-based: Group by date ranges or periods
- Team-based: Organize by departments or teams
- Content-based: Group by meeting type or subject matter
Effective Organization:
Recommended Project Structure:
├── Active Projects
│ ├── Q1 2024 Planning
│ ├── Product Launch Alpha
│ └── Team Retrospectives
├── Completed Projects
│ ├── Q4 2023 Review
│ ├── Hiring Interviews
│ └── Training Sessions
└── Templates and Standards
├── Meeting Templates
├── Analysis Templates
└── Export Formats
Best Practices:
- Consistent naming: Use standardized naming conventions
- Descriptive titles: Include date, purpose, and participants
- Regular maintenance: Archive completed projects, update active ones
- Tag systematically: Use consistent tagging for easy discovery
What’s the difference between search modes?
Vector Search Mode:
- How it works: Finds similar content based on semantic meaning
- Best for: Discovering related concepts and themes
- Speed: Fast response times
- Results: Ranked by similarity with confidence scores
Keyword Search Mode:
- How it works: Finds exact word or phrase matches
- Best for: Finding specific quotes or precise information
- Speed: Very fast
- Results: Exact matches with context
AI Chat Mode:
- How it works: Combines search with AI interpretation
- Best for: Natural language questions and analysis
- Speed: Slower but more comprehensive
- Results: Conversational responses with explanations
When to Use Each:
- Keyword search: Finding specific quotes, names, or facts
- Vector search: Exploring themes, discovering related content
- AI chat: Complex questions requiring interpretation and analysis
Advanced Features
How do I set up automated workflows?
Basic Automation Setup:
- Define triggers: What events should start automation
- Configure actions: What should happen when triggered
- Set parameters: Customize behavior and outputs
- Test workflow: Verify automation works as expected
Common Automation Examples:
- Daily reports: Automatic export of daily transcript summaries
- Project updates: Regular analysis and reporting for ongoing projects
- Quality assurance: Automatic review and validation of processed content
- Integration sync: Automatic export to external systems
Advanced Automation:
- Custom scripts: Develop specialized automation scripts
- API integration: Connect with external workflow systems
- Conditional logic: Complex decision-making in automated processes
- Error handling: Robust error recovery and notification
How do I integrate with other tools?
Common Integrations:
Project Management:
- Export action items: Send tasks to Jira, Asana, Trello
- Sync timelines: Update project schedules based on meeting content
- Track decisions: Monitor decision implementation and outcomes
Document Management:
- Archive transcripts: Store in SharePoint, Google Drive, Box
- Generate reports: Create documents in standard company formats
- Version control: Maintain document history and changes
Communication Platforms:
- Share insights: Post summaries to Slack, Teams channels
- Notify stakeholders: Automated updates via email or messaging
- Collaboration: Enable team discussion around transcript content
Integration Methods:
- API connections: Programmatic integration with business systems
- Export automation: Scheduled or triggered content distribution
- Webhook integration: Real-time notifications and updates
- Manual workflows: Streamlined manual processes for common tasks
Can I customize analysis prompts?
Yes, DeepTalk supports extensive analysis customization:
Custom Prompt Creation:
- Industry-specific analysis: Tailor prompts for your business domain
- Role-based perspectives: Generate insights for different stakeholder groups
- Outcome-focused analysis: Emphasize specific types of results
- Quality standards: Apply consistent analysis criteria
Prompt Categories:
- Executive summaries: High-level insights for leadership
- Technical analysis: Detailed examination of technical discussions
- Action item extraction: Focus on tasks and follow-up items
- Risk assessment: Identify potential issues and concerns
Template Management:
- Save reusable prompts: Create libraries of analysis templates
- Share with team: Distribute standard analysis approaches
- Version control: Maintain prompt history and improvements
- Performance tracking: Monitor effectiveness of different prompts
Troubleshooting
DeepTalk won’t start or crashes frequently
Common Startup Issues:
- Check system requirements: Verify minimum hardware/software requirements
- Free up resources: Close other applications, restart computer
- Check permissions: Ensure DeepTalk has necessary file system access
- Review logs: Look for error messages during startup
Crash Prevention:
- Update software: Ensure latest version of DeepTalk
- Monitor resources: Watch memory and CPU usage during operation
- Manage file sizes: Break up very large files into smaller segments
- Regular maintenance: Clear temporary files and restart periodically
Processing takes too long or fails
Performance Optimization:
For Transcription:
- Audio quality: Better quality audio processes faster and more accurately
- File size: Smaller files process faster; consider splitting large files
- Service selection: Try different transcription services for speed/quality balance
- System resources: Ensure adequate RAM and CPU available
For AI Analysis:
- Model selection: Faster models for routine analysis, comprehensive models for detailed work
- Content scope: Analyze specific sections rather than entire long transcripts
- Prompt efficiency: Use focused, specific analysis prompts
- Service configuration: Optimize AI service settings for your hardware
Processing Failures:
- Check service connectivity: Verify external services are responding
- Review file format: Ensure supported audio/video format
- Monitor system resources: Avoid processing during high system load
- Retry with smaller content: Test with shorter files to isolate issues
My exports don’t look right
Common Export Issues:
Formatting Problems:
- Template selection: Choose appropriate template for your needs
- Content selection: Verify all desired elements are included
- Format compatibility: Ensure target format supports required features
- Preview before export: Check preview to identify issues early
Missing Content:
- Selection settings: Verify content selection includes all desired elements
- Permission issues: Ensure export has access to all referenced content
- Template configuration: Check that template includes all required sections
- Processing status: Ensure all content has completed processing
Quality Improvement:
- Template customization: Modify templates to better fit your needs
- Content preparation: Improve source content quality before export
- Format optimization: Choose formats that best support your content type
- Review and iterate: Test different options to find optimal settings
I can’t find content I know I uploaded
Content Discovery:
Search Strategies:
- Use multiple search terms: Try different keywords and phrases
- Check all projects: Content might be in unexpected projects
- Review recent items: Check Recent section on Home page
- Search by metadata: Use date, speaker, or tag filters
Organization Check:
- Project assignments: Verify content is assigned to expected projects
- Archive status: Check if content has been archived
- Permission settings: Ensure you have access to view content
- Folder structure: Review project and folder organization
Recovery Options:
- Check trash/deleted items: Content might be in trash folder
- Review import history: Check upload logs for processing status
- Backup recovery: Restore from backup if content was accidentally deleted
- Contact support: Get help if content appears to be lost
Getting Help
Where can I get additional support?
Community Resources:
- GitHub Discussions: https://github.com/michael-borck/deep-talk/discussions
- GitHub Issues: https://github.com/michael-borck/deep-talk/issues (for bug reports)
- Documentation: Complete guides in the docs/ directory
Self-Help Resources:
- Common Issues Guide: Detailed troubleshooting for frequent problems
- User Guide: Comprehensive feature explanations and usage guidance
- Tutorials: Step-by-step learning workflows
- Features Guide: In-depth capability documentation
Before Requesting Help:
- Search existing issues: Check if your problem has been reported
- Try troubleshooting steps: Follow relevant troubleshooting guides
- Gather information: Include error messages, system info, steps to reproduce
- Test reproducibility: Verify the issue occurs consistently
How do I report bugs or request features?
Bug Reports:
- Check existing issues: Search GitHub issues for similar problems
- Gather details: Error messages, system information, steps to reproduce
- Create clear report: Use GitHub issue template with all relevant information
- Provide examples: Include sample files or screenshots if helpful
Feature Requests:
- Describe use case: Explain the problem you’re trying to solve
- Propose solution: Suggest how the feature might work
- Consider alternatives: Think about different approaches to the same goal
- Engage community: Discuss with others who might benefit
Effective Communication:
- Be specific: Provide detailed, actionable information
- Be respectful: Remember that development is volunteer work
- Be patient: Complex issues take time to investigate and resolve
- Follow up: Provide additional information if requested
Still need help? Check the Common Issues Guide for detailed troubleshooting, or visit our GitHub Discussions for community support.