Multimodal Capabilities
Learn how to work with images and visual content in AI SecureChat
AI SecureChat’s multimodal capabilities allow you to work with images and visual content alongside text, creating a more comprehensive and powerful AI experience. This guide explores how to leverage these capabilities effectively.
Understanding Multimodal AI
Multimodal AI can process and understand multiple types of information (modalities), including:
- Text (natural language)
- Images and video
- Audio and speech
- Charts and diagrams
- Structured data
This allows for more comprehensive understanding and analysis across different forms of content.
Multimodal AI can process and understand multiple types of information (modalities), including:
- Text (natural language)
- Images and video
- Audio and speech
- Charts and diagrams
- Structured data
This allows for more comprehensive understanding and analysis across different forms of content.
AI SecureChat currently supports:
- Text - Natural language in multiple languages
- Images - Photos, diagrams, screenshots, illustrations
- Documents - PDFs, presentations, reports with visual elements
- Charts and Graphs - Data visualizations
- Screenshots - Software interfaces and digital content
Support for audio and video modalities may be available depending on your organization’s configuration and the AI models being used.
Multimodal capabilities require specific AI models:
- Not all language models support multimodal inputs
- Your organization’s Prisme.ai configuration determines which models are available
- Models with multimodal support will be indicated in the model selector
- Performance may vary between different multimodal models
Check with your administrator if you’re unsure which models in your environment support multimodal features.
Working with Images
Uploading Images
Access image upload
Click the upload button (📎) in the message input area and select an image, or drag and drop an image directly into the chat.
Supported image formats include:
- PNG
- JPEG/JPG
- GIF (static)
- WebP
- BMP
- SVG (as an image; code parsing may be limited)
Add context (optional)
After uploading an image, you can provide additional context or specific questions about the image.
Providing context can help guide the AI’s analysis and generate more relevant responses.
Submit for analysis
Send your message with the image to have the AI process and analyze it.
The AI will acknowledge the image and provide an initial response based on its content.
Types of Image Analysis
General Image Description
Get a comprehensive description of what’s in an image
Text Extraction (OCR)
Extract and process text visible in images
Chart and Graph Analysis
Interpret data visualizations and extract insights
Technical Diagram Interpretation
Understand flowcharts, network diagrams, and technical illustrations
Document Analysis
Process documents that contain both text and visual elements
UI/UX Analysis
Evaluate screenshots of user interfaces
Content Categorization
Identify the type and category of visual content
Object and Entity Recognition
Identify specific objects and entities within images
Example Prompts for Image Analysis
Try these prompts after uploading an image: Describe what you see in this image in detail. Extract all the text visible in this image. What data does this chart show? Summarize the key trends. Explain this technical diagram and how the components interact. Identify any problems with this user interface design. Is there any personal or sensitive information in this image? Create a table of all the products and prices shown in this image. What are the key elements of this logo design? Copy
Advanced Image Interactions
Specific Use Cases
Text Extraction (OCR)
Extract and work with text from images:
Upload an image containing text
This can include:
- Scanned documents
- Photos of printed materials
- Screenshots with text
- Whiteboards and handwritten notes (with limitations)
Request text extraction
Ask the AI to extract the text with prompts like:
Work with the extracted text
Once the text is extracted, you can ask the AI to:
- Summarize the content
- Answer questions about the text
- Format or structure the information
- Translate the extracted text
- Find specific information within it
OCR performance varies based on:
- Text clarity and image quality
- Font type and size
- Background contrast
- Image resolution
For best results, use clear, high-resolution images with good lighting and contrast.
Chart and Graph Analysis
Get insights from data visualizations:
Upload a chart or graph
Support for various chart types:
- Bar charts and histograms
- Line graphs
- Pie and donut charts
- Scatter plots
- Area charts
- Combined visualizations
Ask for analysis
Request insights with prompts like:
Explore specific aspects
Dive deeper with follow-up questions:
Technical Diagram Interpretation
Understand complex visual information:
Upload a technical diagram
Works with various diagram types:
- Flowcharts and process diagrams
- Network and system architectures
- UML diagrams
- Circuit diagrams
- Engineering schematics
- Entity-relationship diagrams
Request explanation
Get comprehensive interpretations with prompts like:
Ask for specific details
Focus on particular elements:
UI/UX Analysis
Evaluate and improve user interfaces:
Upload UI screenshots
Analyze various UI elements:
- Website pages
- Mobile app screens
- Software interfaces
- Design mockups
- Forms and interactive elements
Request design analysis
Get UX insights with prompts like:
Focus on specific aspects
Target particular design elements:
Working with Audio
AI SecureChat can also process audio content with compatible multimodal models:
Uploading Audio
Access audio upload
Click the upload button (📎) in the message input area and select an audio file, or drag and drop directly into the chat.
Supported audio formats typically include:
- MP3
- WAV
- M4A
- OGG
- FLAC
Add context (optional)
Provide additional information about the audio to guide the AI’s analysis:
Submit for processing
Send your message with the audio file to have the AI process it.
The AI will acknowledge the audio and provide a response based on its content.
Audio Analysis Capabilities
Transcription
Convert spoken content to written text
Meeting Summarization
Extract key points and action items from recordings
Translation
Transcribe and translate audio to different languages
Speaker Identification
Distinguish between different speakers (with limitations)
Content Analysis
Identify topics, themes, and sentiments in spoken content
Q&A on Audio Content
Answer questions based on information in the audio
Example Prompts for Audio Analysis
Try these prompts after uploading an audio file: Transcribe this audio recording. Summarize the key points from this meeting. What action items were mentioned in this recording? Translate this speech to French. Identify the main topics discussed in this conversation. Create a timeline of events mentioned in this recording. What was the sentiment of the speakers in this discussion? Extract all the numbers and statistics mentioned. Copy
Audio Transcription and Processing
Convert speech to text with various options:
- Verbatim transcription (including filler words, pauses)
- Clean transcription (removing stutters, false starts)
- Timestamped transcription
- Speaker-attributed transcription (where possible)
Example prompts:
Convert speech to text with various options:
- Verbatim transcription (including filler words, pauses)
- Clean transcription (removing stutters, false starts)
- Timestamped transcription
- Speaker-attributed transcription (where possible)
Example prompts:
Extract structured information from meetings:
- Key discussion points
- Decisions made
- Action items and owners
- Follow-up questions
- Deadlines mentioned
Example prompts:
Analyze the substance and characteristics of audio:
- Topic identification
- Sentiment analysis
- Key information extraction
- Tone and style assessment
- Pattern recognition
Example prompts:
Audio Generation
Some multimodal models may offer limited audio generation capabilities:
Audio generation features:
- Are typically more limited than image generation
- May only be available with specific models
- Often have restrictions on duration and complexity
- May be in experimental phases depending on your organization’s Prisme.ai version
Check with your administrator about the availability of audio generation features in your environment.
Best Practices for Multimodal Work
Use High-Quality Media
Provide clear, well-lit images and clean audio recordings for best results.
Be Specific in Prompts
Clearly describe what aspects of the media you want the AI to focus on.
Combine Modalities Strategically
Use multiple media types together when they complement each other.
Verify Critical Information
Double-check important details extracted from images or audio.
Consider Privacy and Sensitivity
Be mindful of sensitive content in uploaded media, especially with faces or personal information.
Use Canvas for Complex Work
Leverage Canvas for more sophisticated editing and organization of multimodal content.
Save Intermediate Results
Export or save important outputs, especially for large media files that may be processed again.
Provide Context
Add explanatory text when uploading media to guide the AI’s understanding.
Troubleshooting Multimodal Issues
Privacy and Security Considerations
When working with multimodal content, be mindful of:
-
Personal Information: Avoid uploading images or audio with personally identifiable information (PII) unless necessary and permitted by your organization’s policies.
-
Confidential Content: Consider the sensitivity of visual information in screenshots, diagrams, or documents.
-
Consent: Ensure you have appropriate permissions when uploading media that includes other people, especially for audio recordings of conversations or meetings.
-
Data Retention: Understand your organization’s policies regarding how long uploaded media is retained in the system.
Prisme.ai implements several security measures for multimodal content:
Next Steps
Now that you understand the multimodal capabilities in AI SecureChat, explore these related features:
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