See Documents ThroughAI-Powered Vision
Upload any document and watch AI highlight entities, analyze sentiment, and create interactive annotations with visual overlays.
Drag & drop a document or click to browse
Supports PDF and image files
Visual Intelligence Features
See your documents come alive with AI-powered visual analysis
Smart Entity Detection
Automatically identify and highlight people, organizations, locations, dates, and more
Color-Coded Annotations
Different entity types displayed with intuitive color coding for quick recognition
Sentiment Overlays
Visual sentiment analysis showing positive, negative, and neutral content
Interactive Layers
Toggle different annotation types on and off for focused analysis
Deep Document Understanding
AI comprehends context and relationships between entities
Confidence Scoring
See AI confidence levels for each detected entity and annotation
How Visual Document Analysis Works
A powerful combination of AI technologies working together to understand your documents
1. Document Processing
Our advanced optical character recognition (OCR) technology extracts text from any document format, including PDFs, scanned images, and native documents. The system preserves layout, formatting, and structural information to maintain document context.
The AI processes each page independently while maintaining cross-page relationships, ensuring accurate entity tracking throughout multi-page documents. This approach handles complex layouts including tables, columns, headers, and footers with high accuracy.
2. Entity Recognition
Advanced natural language processing identifies and categorizes entities within your documents. The system recognizes people, organizations, locations, dates, monetary values, contact information, and custom entity types specific to your industry.
Each entity is assigned a confidence score based on contextual analysis, surrounding text patterns, and linguistic markers. The AI understands relationships between entities, identifying hierarchies and associations that provide deeper document insights.
3. Sentiment Analysis
The sentiment analysis engine evaluates tone, context, and emotional indicators throughout your documents. It identifies positive, negative, and neutral sentiments at both the document and entity level, providing insights into document tone and potential risk areas.
This is particularly valuable for legal documents, customer communications, and business contracts where understanding sentiment can highlight important clauses, obligations, or areas requiring attention.
4. Visual Annotations
All detected entities and analysis results are rendered as interactive visual overlays directly on your document. Color-coded highlights make it easy to distinguish between different entity types at a glance, while confidence indicators show the reliability of each detection.
Users can toggle annotation layers, filter by entity type, and interact with individual annotations to see detailed information. This visual approach dramatically reduces document review time and improves comprehension of complex documents.
Real-World Applications
Discover how visual document analysis transforms workflows across industries
Legal Document Review
Attorneys review contracts, agreements, and legal documents faster with automatic entity highlighting and sentiment analysis. Quickly identify parties, dates, monetary values, and potentially risky clauses.
Financial Analysis
Financial analysts extract key data from reports, statements, and filings with precision. Visual annotations highlight important figures, dates, and entities for rapid analysis and decision-making.
Compliance Auditing
Compliance teams verify document accuracy and completeness by visually tracking required entities and information. Ensure all necessary details are present and properly formatted.
Due Diligence
M&A teams process large volumes of documents efficiently with AI-powered entity recognition. Identify key stakeholders, financial terms, and important dates across hundreds of documents.
Customer Communications
Customer service teams analyze communications with sentiment overlays to identify satisfaction levels, key issues, and areas requiring immediate attention.
Research & Analysis
Researchers extract structured data from unstructured documents quickly and accurately. Build databases of entities, relationships, and insights from document collections.
Key Benefits
Why organizations choose visual document analysis
Save Time
Reduce document review time by up to 80% with instant visual annotations and entity highlighting. What previously took hours now takes minutes, freeing your team for higher-value work.
Improve Accuracy
AI-powered entity recognition achieves 95%+ accuracy, reducing human error in data extraction. Confidence scores for each detection help you focus review efforts where needed most.
Enhance Understanding
Visual overlays make complex documents easier to comprehend at a glance. Color coding, interactive annotations, and sentiment analysis provide instant insights that text-only review cannot match.
Scale Operations
Process thousands of documents with consistent quality. The AI maintains the same high standards whether analyzing one document or one million, enabling unprecedented scale.
Frequently Asked Questions
Common questions about visual document analysis
What document formats are supported?
The visual document viewer supports PDF files, common image formats (PNG, JPG, JPEG), and can process both native digital documents and scanned images. The OCR technology handles various document qualities and layouts.
How accurate is the entity recognition?
Our AI achieves 95%+ accuracy for common entity types like people, organizations, dates, and monetary values. Each detection includes a confidence score, and the system continuously improves through machine learning.
Can I customize the entity types detected?
Yes, you can configure custom entity types specific to your industry or use case. The system can be trained to recognize domain-specific terminology, codes, references, and specialized information.
Is my document data secure?
Absolutely. All documents are processed with enterprise-grade encryption, and data is never shared with third parties. Documents can be processed on-premises for organizations with strict security requirements.
How does sentiment analysis work on documents?
The AI analyzes text context, word choice, and linguistic patterns to determine sentiment. It considers document type, industry norms, and contextual factors to provide accurate sentiment assessments for legal, business, and other document types.
Can I export the annotations and analysis results?
Yes, all annotations, entity data, sentiment scores, and analysis results can be exported in various formats including JSON, CSV, and structured reports. This enables integration with your existing workflows and systems.
Ready to See Your Documents Differently?
Transform how you analyze and understand documents with visual AI