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Voice Dictation for Cursor: Code Comments, Documentation & AI Prompts

Enhance your AI-powered coding with voice input. Contextli helps you write code comments, documentation, and AI prompts faster.

Cursor brings AI to your code editor—and Contextli brings your voice. While Cursor helps you write code, Contextli helps you write everything around it: comments, documentation, AI prompts, and explanations. Together, they create a more natural, efficient development experience.

Pre-Built Modes

Contextli Modes for Cursor

Each mode transforms your voice into Cursor-ready content with specific formatting.

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Code Comment

Clear comments explaining code intent

Best for: Inline code comments

You say:

"Comment explaining why we're using a mutex here instead of a read write lock, it's because our write operations are frequent and we don't want readers to starve writers, the performance trade-off is acceptable for data consistency"

Contextli outputs:

// Using mutex over RWLock: Our write operations are frequent enough that
// RWLock would cause writer starvation. The slight read performance penalty
// is acceptable for guaranteed data consistency.
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Docstring

Function and class documentation

Best for: Function and class documentation

You say:

"Docstring for a function called process payment that takes an amount in cents and a customer ID and returns a payment result object with status and transaction ID, throws if the amount is negative or customer not found"

Contextli outputs:

/**
 * Process a payment for a customer.
 * 
 * @param {number} amountCents - Payment amount in cents (must be positive)
 * @param {string} customerId - Unique customer identifier
 * @returns {PaymentResult} Object containing status and transactionId
 * @throws {Error} If amountCents is negative
 * @throws {CustomerNotFoundError} If customerId doesn't exist
 * 
 * @example
 * const result = await processPayment(2500, 'cust_123');
 * // result: { status: 'success', transactionId: 'txn_456' }
 */
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AI Prompt

Prompts for Cursor's AI features

Best for: Directing Cursor's AI features

You say:

"AI prompt to refactor this function to use async await instead of callbacks, preserve the error handling but make it cleaner, and add proper TypeScript types for the parameters and return value"

Contextli outputs:

Refactor to async/await:

1. Convert callback-based flow to async/await
2. Preserve all error handling logic
3. Simplify error handling using try/catch
4. Add TypeScript types:
   - All function parameters
   - Return type (Promise<T>)
5. Maintain existing functionality

Focus: Clean, readable async code with proper typing.
Real-World Workflows

How to Use Contextli in Cursor

Step-by-step workflows for common Cursor tasks.

Document Code with Voice

You've written complex logic and need to add comments and docstrings before committing.

DeveloperSaves 1-2 minutes per function
  1. 1

    Position cursor above function

    Where docstring should go

  2. 2

    Activate Docstring mode

    Structured documentation

    ⌘+Shift+V
  3. 3

    Describe the function's purpose

    Parameters, returns, throws

  4. 4

    Repeat for key functions

    Build comprehensive documentation

Example Output:

/**
 * Validates user input against schema rules.
 * @param input - Raw user input
 * @returns ValidationResult...
See It In Action

Voice to Cursor: Real Examples

What you say versus what Contextli produces for Cursor.

Writing a complex code comment
micYou Say

"This implements optimistic locking by checking the version number before updating, if another process modified the record the version won't match and we retry with exponential backoff, we chose optimistic over pessimistic locking because our reads far outnumber writes"

auto_awesomeContextli Outputs
/**
 * Optimistic locking implementation:
 * - Checks version number before updates
 * - If version mismatch (concurrent modification), retries with exponential backoff
 * 
 * Why optimistic locking?
 * - Read-heavy workload (reads >> writes)
 * - Pessimistic locking would bottleneck reads unnecessarily
 * - Occasional retry cost < constant lock overhead
 */
Comparison

Contextli vs Other Cursor Voice Solutions

Contextli vs Cursor AI Chat

FeatureContextliCursor AI Chat
Voice input✅ Native voice❌ Typing only
Documentation✅ Structured output⚠️ AI generates
Your explanations✅ Your words⚠️ AI interpretation
Speed✅ Real-time dictation⚠️ Generate and edit

Cursor AI generates code. Contextli lets you create documentation and comments in your own voice—faster than typing, more authentic than AI-generated.

Why Use Contextli for Cursor?

Even with AI-assisted coding, developers still type a lot of non-code content. Comments explain why. Documentation explains how. AI prompts direct the AI. Contextli handles all of this by voice, letting you focus your keyboard time on actual code.

Cursor + Contextli: Common Questions

How does Contextli complement Cursor's AI features?

Cursor's AI writes code; Contextli helps you write everything else. Use Contextli for comments, documentation, AI prompts, and explanations—the human context that makes AI-generated code maintainable.

Can I dictate AI prompts for Cursor?

Yes! The AI Prompt mode helps you create clear, specific prompts for Cursor's AI features. Dictate what you want, and Contextli formats it into an effective prompt.

Cursor Integration Details

descriptionSupported Formats

  • checkJSDoc comments
  • checkPython docstrings
  • checkCode comments (//, #, /* */)
  • checkMarkdown
  • checkPlain text for AI prompts

lightbulbPro Tips

  • Use Docstring mode to quickly document functions before committing
  • AI Prompt mode helps you write better prompts for Cursor's AI
  • Combine Contextli dictation with Cursor's AI for maximum efficiency

infoGood to Know

  • arrow_rightCannot generate code via voice (use Cursor AI)
  • arrow_rightCannot execute Cursor commands via voice
  • arrow_rightCode formatting depends on editor settings
  • arrow_rightAI responses still require review

devicesPlatform Support

Works in Cursor editor on macOS.

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Start Using Voice Dictation in Cursor

Transform how you work in Cursor with context-aware voice dictation.