The YT Video Analyzer API provides developers with powerful tools to analyze and extract insights from YouTube videos. With features such as sentiment analysis, keyword extraction, and metadata retrieval, this API enables users to gain a deeper understanding of video content, audience engagement, and trending topics. Easily integrate it into your applications to enhance content discovery and optimize video performance on the YouTube platform.
{"code":200,"status":"success","video_url":"https://www.youtube.com/watch?v=FAyKDaXEAgc","language":"English","analysis_result":"Here's a highly structured summary of the audio:\n\n1. **Core Theme**\n The central theme is the report of bullying (being mocked) and a subsequent, intensely escalating, and ultimately distorted rage from a listener in response to that report.\n\n2. **Main Content Skeleton**\n * An adult (or older figure) greets a younger individual and asks about their school day.\n * The younger individual expresses distress, stating that everyone was mocking them.\n * The adult's reaction begins with a questioning repetition of the phrase \"mocking you\" and rapidly escalates into a guttural, demonic-sounding roar, repeatedly emphasizing the act of mocking with extreme anger and vocal distortion.\n\n3. **Key Quotes**\n * \"Hey buddy, how was school?\"\n * \"Everybody was mocking me.\"\n * \"Everybody was mocking you?\"\n * \"Everybody was mocking you!\" (repeated with increasing rage and vocal distortion)"}
curl --location --request POST 'https://zylalabs.com/api/13125/yt+video+analyzer+api/26608/analyze+yt+video' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"url": "https://www.youtube.com/watch?v=FAyKDaXEAgc",
"language": "en"
}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the YT Video Analyzer API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
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Introducing the Video Analyzer API — a robust solution specifically designed for developers, content creators, and business analysts aiming to process audio and video content efficiently. This advanced API leverages cutting-edge audio extraction technology and powerful multimodal large language models, enabling users to transform lengthy YouTube videos into concise, structured, business-grade summaries in an instant.
This API offers more than just basic URL processing. It supports advanced customization, allowing you to utilize the prompt parameter to infuse your own system instructions. Tailor the AI to generate summaries in specific tones, formats, or perspectives to address your unique business needs.
The YT Video Analyzer API provides tools to analyze and extract insights from YouTube videos, including sentiment analysis, keyword extraction, and metadata retrieval.
The API simplifies audio extraction by overcoming anti-bot measures and environmental challenges, allowing for high-quality audio extraction without complex authentication.
The API provides structured JSON data that includes a Core Theme, Content Skeleton, and Key Quotes, enabling users to quickly grasp the essence of the video.
Yes, the API includes sentiment analysis capabilities, allowing users to understand the emotional tone of the video content.
High-Density Structured Output refers to the detailed and organized JSON data provided by the API, which includes key insights and summaries of the video.
Users can gain insights into audience engagement, trending topics, and effective script frameworks for marketing and content creation.
The API follows a zero-retention policy, permanently deleting all media files and cached data from requests within milliseconds to ensure data security.
Practical applications include analyzing viral competitor videos for marketing strategies, summarizing industry research, and enhancing content discovery.
The structured output includes fields such as Core Theme, Content Skeleton, and Key Quotes, which provide a comprehensive overview of the video.
The multimodal AI engine captures semantics, emotional tones, and logical structures with unmatched accuracy, surpassing traditional speech-to-text systems.
Yes, the API is designed for business intelligence and research, allowing users to rapidly summarize and analyze video content for strategic insights.
Yes, the API includes keyword extraction features that help identify important terms and phrases from the video.
The API allows marketers to analyze competitor videos for script frameworks and inspirational quotes, providing strategic insights to enhance their marketing efforts.
The API enables users to transform lengthy videos into concise summaries almost instantly, making information consumption swift and effective.
The API provides output data in structured JSON format, which is easy to integrate into various applications.
Yes, the YT Video Analyzer API can be easily integrated into applications to enhance content discovery and optimize video performance.
The Core Theme provides a summary of the main idea or message of the video, helping users quickly understand its essence.
By analyzing video content and extracting key insights, the API helps users discover relevant and trending topics in their areas of interest.
The API offers advanced features such as accurate sentiment analysis, structured output, and seamless audio extraction, making it more efficient than traditional methods.
The "Analyze YT Video" endpoint returns structured JSON data that includes insights such as view count, engagement rates, comments sentiment, viewer demographics, and detailed descriptions and tags associated with the video.
Key fields in the response data include "video_url," "language," "analysis_result," "Core Theme," "Content Skeleton," and "Key Quotes," providing a comprehensive overview of the video's content and performance.
The response data is organized in a structured JSON format, with clear sections for the Core Theme, Content Skeleton, and Key Quotes, allowing users to easily navigate and extract relevant insights.
The endpoint provides information on video performance metrics, including view counts, engagement rates, sentiment analysis of comments, and demographic insights, enabling users to optimize their content strategies.
Users can specify parameters such as the unique YouTube video identifier and optional customization prompts to tailor the analysis output, allowing for personalized summaries and insights.
Users can leverage the returned data to enhance marketing strategies, conduct competitive analysis, and generate reports by utilizing insights from the Core Theme and Key Quotes to inform decision-making.
Data accuracy is maintained through the use of advanced multimodal AI technology, which captures semantics and emotional tones, ensuring high-quality analysis that surpasses traditional methods.
Typical use cases include analyzing competitor videos for marketing insights, summarizing industry conferences for research, and integrating video summarization features into productivity tools for enhanced knowledge management.
The "Analyze YT Video" endpoint provides insights such as view counts, engagement rates, sentiment analysis of comments, viewer demographics, and detailed descriptions and tags associated with the video, enabling users to optimize their content strategies.
Users can customize their data requests by utilizing the prompt parameter, allowing them to specify system instructions for tailored summaries in desired tones, formats, or perspectives to meet unique business needs.
The API returns data in a structured JSON format, organized into clear sections such as "Core Theme," "Content Skeleton," and "Key Quotes," making it easy for users to navigate and extract relevant insights.
Key fields include "Core Theme," which summarizes the main idea of the video; "Content Skeleton," outlining the video structure; and "Key Quotes," highlighting significant statements, all aiding in quick comprehension of the video content.
The response data is organized in a structured manner, with distinct sections for each type of insight, allowing users to easily locate and utilize specific information relevant to their analysis or reporting needs.
Data accuracy is ensured through the use of advanced multimodal AI technology, which captures semantics and emotional tones, along with rigorous testing to validate the output against real-world video content.
If the API returns partial or empty results, users should check the video identifier for accuracy, ensure the video is publicly accessible, and consider retrying the request or adjusting parameters for better results.
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