Extract Quoted Text
Extract and analyze quoted text, dialogue, and citations from any content
50 characters
About Quoted Text Extraction
Our advanced quote extraction tool identifies and extracts quoted text from any content using sophisticated pattern matching. Perfect for analyzing dialogue, citations, testimonials, and quoted content in documents, articles, and conversations.
Key Features
- Multiple Quote Types: Double quotes, single quotes, and smart quotes
- Context Preservation: Maintains surrounding context for each quote
- Speaker Detection: Identifies potential speakers or attribution
- Nested Quotes: Handles quotes within quotes correctly
- Length Analysis: Provides statistics on quote lengths
- Export Options: Export results as text, CSV, or JSON
Supported Quote Formats
- Double quotes:
"This is a quote" - Single quotes:
'This is also a quote' - Smart quotes:
"Curly quotes" and 'single curly' - Nested quotes:
"She said 'hello' to me" - Multi-line quotes: Quotes spanning multiple lines
- With attribution:
"Quote" - Author
Common Use Cases
- Extract dialogue from novels, scripts, and screenplays
- Gather testimonials and customer feedback quotes
- Analyze quoted content in research papers and articles
- Extract citations and references from academic texts
- Process interview transcripts and conversation logs
- Compile quotes for presentations and reports
Context Analysis Features
- Speaker Identification: Attempts to identify who said the quote
- Quote Position: Shows where quotes appear in the text
- Surrounding Context: Provides text before and after quotes
- Quote Clustering: Groups quotes by potential speakers
- Length Distribution: Analyzes quote length patterns
- Quote Density: Measures how quote-heavy the text is
Quote Types & Formatting
- Direct Speech: "I will be there tomorrow," she said.
- Indirect Quotes: He mentioned that "the meeting was productive."
- Block Quotes: Long quotes separated from main text
- Inline Citations: As noted: "This is important evidence."
- Dialogue Tags: "Hello," John said, "how are you?"
Export Formats
- Plain Text: Simple list of quotes, one per line
- CSV: Structured data with quote, context, speaker, and position
- JSON: Detailed format with full analysis and metadata
Analysis Features
- Quote Statistics: Total quotes, average length, distribution
- Speaker Analysis: Most quoted speakers and their quote counts
- Content Analysis: Keyword frequency in quotes
- Sentiment Indicators: Basic emotional tone of quotes
- Quote Complexity: Analysis of nested and complex quotes
Best Practices
- Include speaker attributions for better context analysis
- Use consistent quote formatting for optimal detection
- Consider context length settings based on your content type
- Review extracted quotes for accuracy, especially with nested quotes
- Use filters to focus on specific types of quoted content
Tips for Best Results
- • Clean up text formatting before extraction for better accuracy
- • Use the context length setting to capture speaker information
- • Check for smart quotes if working with formatted documents
- • Manually review complex nested quotes for accuracy