File Processing
Upload, parse, and process various file types including documents, images, and audio files
File Processing
CoAI.Dev provides comprehensive file processing capabilities, enabling users to upload and analyze various file types. The system extracts text content from documents, images, and audio files, making the information accessible to AI models for analysis and conversation.
Overview
The file processing system offers:
- 📄 Document Processing: Extract text from PDFs, Word docs, Excel sheets, PowerPoint presentations
- 🖼️ Image Analysis: OCR text extraction from images and visual content analysis
- 🎵 Audio Transcription: Convert audio files to text for analysis
- ☁️ Flexible Storage: Multiple storage backends for different deployment needs
- 🤖 Universal Compatibility: Works with all AI models, not just vision-capable ones
- 🔒 Privacy-First: Optional local processing for sensitive data
Zero Dependencies
File processing works out-of-the-box with no external dependencies required. Deploy anywhere including Docker, Vercel, and Render with one-click deployment.
Supported File Types
Document Formats
Word Documents and Text Files
- Microsoft Word:
.docx
,.doc
files - Plain Text:
.txt
,.md
,.csv
files - Rich Text:
.rtf
files - Code Files:
.js
,.py
,.html
,.css
and other code formats
Processing Features:
- Full text extraction with formatting preservation
- Metadata extraction (author, creation date, etc.)
- Table and list structure recognition
- Hyperlink and reference extraction
Supported Models: All AI models can analyze extracted text content
Image Processing
Advanced image analysis and text extraction:
Optical Character Recognition
Powered by PaddleOCR for high-accuracy text extraction:
- Multi-Language Support: English, Chinese, Japanese, Korean, and 80+ languages
- Layout Recognition: Preserve document structure and formatting
- Handwriting Recognition: Extract text from handwritten documents
- Table Recognition: Extract structured data from image tables
OCR Configuration:
Deployment Options:
- Hosted Service: Use CoAI.Dev's OCR service
- Self-Hosted: Deploy PaddleOCR API locally for privacy
- Hybrid: Local processing for sensitive content, cloud for general use
Audio Processing
Convert speech to text for AI analysis:
Audio Transcription Service:
- Azure Speech to Text: High-accuracy transcription service
- Multiple Languages: Support for 100+ languages and dialects
- Speaker Recognition: Identify different speakers in conversations
- Timestamp Extraction: Precise timing for audio segments
Supported Audio Formats:
- Common Formats: MP3, WAV, M4A, FLAC
- Professional: AIFF, WMA, OGG
- Video Audio: Extract audio from MP4, AVI, MOV files
Configuration Example:
Storage Options
Multiple Storage Backends
Choose the storage solution that fits your deployment:
Major Cloud Providers
Amazon S3:
Google Cloud Storage:
Azure Blob Storage:
Benefits:
- Global accessibility and reliability
- Automatic scaling and redundancy
- Built-in security and compliance
- Integration with other cloud services
Setup and Configuration
Quick Setup
Enable File Processing
In the admin panel, navigate to System Settings → General Settings and enable file processing features.
Configure Storage
Choose and configure your preferred storage backend:
- For development: Use local storage or Base64
- For production: Use cloud storage (S3, GCS, Azure)
- For privacy: Use local MinIO or file system storage
Set Up OCR (Optional)
For image text extraction, deploy the OCR service:
Using Docker:
Configure OCR Endpoint:
Advanced Configuration
File Size Limits:
Processing Options:
Usage Examples
Document Analysis
Upload and Analyze a Research Paper:
- User uploads a PDF research paper
- System extracts text, tables, and references
- AI can summarize findings, explain concepts, or answer questions about the content
Business Report Processing:
- Upload Excel financial reports
- Extract data and calculations
- Generate insights, trends analysis, and recommendations
Image Processing
OCR Text Extraction:
- Upload image of handwritten notes
- OCR extracts text content
- AI can organize, summarize, or expand on the notes
Visual Content Analysis:
- Upload diagram or chart
- AI describes visual elements and extracts data
- Provide explanations or suggest improvements
Audio Transcription
Meeting Notes:
- Upload meeting recording
- Transcribe to text with speaker identification
- Generate meeting summaries and action items
Educational Content:
- Upload lecture recordings
- Create transcripts with timestamps
- Generate study notes and Q&A materials
Best Practices
Performance Optimization
File Size Management:
- Compress large files before upload
- Use appropriate formats for content type
- Implement file size limits based on usage patterns
- Consider chunking for very large files
Storage Efficiency:
- Implement automatic cleanup of old files
- Use CDN for frequently accessed files
- Compress images without quality loss
- Deduplicate identical files
Security Considerations
Data Privacy:
- Use local storage for sensitive documents
- Implement automatic file deletion policies
- Encrypt files at rest and in transit
- Audit file access and processing logs
Content Filtering:
- Scan uploads for malware and viruses
- Filter inappropriate content types
- Validate file integrity before processing
- Implement rate limiting for uploads
User Experience
Upload Interface:
- Provide clear file type and size guidance
- Show upload progress and processing status
- Enable drag-and-drop functionality
- Support bulk uploads with progress tracking
Error Handling:
- Provide clear error messages for failed uploads
- Offer alternative processing options
- Implement retry mechanisms for network issues
- Guide users through troubleshooting steps
Troubleshooting
Common Issues
File Upload Fails
Problem: Files fail to upload or process
Solutions:
- Check file size limits and formats
- Verify storage backend connectivity
- Ensure sufficient disk space or storage quota
- Check network connectivity and firewall settings
- Review server logs for specific error messages
OCR Not Working
Problem: Text extraction from images fails
Solutions:
- Verify OCR service is running and accessible
- Check image quality and resolution
- Ensure supported language configuration
- Test with different image formats
- Review OCR service logs for errors
Performance Issues
Slow Processing:
- Optimize file sizes before upload
- Use faster storage backends (SSD vs HDD)
- Increase processing server resources
- Enable parallel processing for large files
- Consider CDN for file delivery
Storage Costs:
- Implement file lifecycle policies
- Use appropriate storage tiers
- Compress files when possible
- Monitor and optimize storage usage
- Consider hybrid storage strategies
File processing capabilities greatly enhance the versatility of your AI platform. Continue with Search Integration to add web search capabilities, or explore Conversation Sharing for collaborative features.