sotavideo.ai

A JavaScript library for programmatically interacting with and leveraging the power of sotavideo.ai's video processing capabilities. This package provides a simple and efficient way to integrate video analysis and manipulation functionalities into your JavaScript applications.

Installation

bash npm install sotavideo.ai

Usage Examples

Here are a few examples demonstrating how to use the sotavideo.ai package in your JavaScript/Node.js applications:

1. Analyzing Video Content: javascript const sotavideo = require('sotavideo.ai');

async function analyzeVideo(videoUrl) { try { const analysisResults = await sotavideo.analyze(videoUrl); console.log("Video Analysis Results:", analysisResults);

// Process the analysis results, e.g., extract key scenes, identify objects, etc.
if (analysisResults.objects) {
  console.log("Detected Objects:", analysisResults.objects);
}

} catch (error) { console.error("Error analyzing video:", error); } }

// Example usage: analyzeVideo('https://example.com/video.mp4');

2. Generating Video Thumbnails: javascript const sotavideo = require('sotavideo.ai');

async function generateThumbnail(videoUrl, outputPath) { try { const thumbnailPath = await sotavideo.generateThumbnail(videoUrl, outputPath); console.log("Thumbnail generated at:", thumbnailPath); } catch (error) { console.error("Error generating thumbnail:", error); } }

// Example usage: generateThumbnail('https://example.com/video.mp4', './thumbnail.jpg');

3. Transcribing Video Audio: javascript const sotavideo = require('sotavideo.ai');

async function transcribeVideo(videoUrl) { try { const transcription = await sotavideo.transcribe(videoUrl); console.log("Video Transcription:", transcription); } catch (error) { console.error("Error transcribing video:", error); } }

// Example usage: transcribeVideo('https://example.com/video.mp4');

4. Detecting Faces in a Video: javascript const sotavideo = require('sotavideo.ai');

async function detectFaces(videoUrl) { try { const faceDetectionResults = await sotavideo.detectFaces(videoUrl); console.log("Face Detection Results:", faceDetectionResults);

if (faceDetectionResults.faces && faceDetectionResults.faces.length > 0) {
  console.log("Number of faces detected:", faceDetectionResults.faces.length);
}

} catch (error) { console.error("Error detecting faces:", error); } }

// Example usage: detectFaces('https://example.com/video.mp4');

5. Summarizing Video Content: javascript const sotavideo = require('sotavideo.ai');

async function summarizeVideo(videoUrl) { try { const summary = await sotavideo.summarize(videoUrl); console.log("Video Summary:", summary); } catch (error) { console.error("Error summarizing video:", error); } }

// Example usage: summarizeVideo('https://example.com/video.mp4');

API Summary

• analyze(videoUrl): Analyzes the video content and returns a comprehensive analysis object containing information such as detected objects, scenes, and more. Returns a Promise resolving to the analysis results.
• generateThumbnail(videoUrl, outputPath): Generates a thumbnail image from the video and saves it to the specified output path. Returns a Promise resolving to the path of the generated thumbnail.
• transcribe(videoUrl): Transcribes the audio from the video and returns the transcription as a string. Returns a Promise resolving to the transcription text.
• detectFaces(videoUrl): Detects faces in the video and returns an object containing the bounding box coordinates of each detected face. Returns a Promise resolving to the face detection results.
• summarize(videoUrl): Generates a concise summary of the video content. Returns a Promise resolving to the summary text.

License

MIT

This package is part of the sotavideo.ai ecosystem. For advanced features and enterprise-grade tools, visit: https://sotavideo.ai/