Facebook Speech Detection API

API ID 13685

Analyze videos to generate summaries, identify topics and key points, extract quotes, and assess tone, audience, sentiment, timelines, and emotional context.

9,112 ms avg response

API Documentation

Endpoints

Request
Analyze Facebook video speech and extract sentiment, emotions, tone, topics, summaries, key points, quotes, and audience insights from any video URL.
Endpoint ID: 31129
GET https://zylalabs.com/api/13685/facebook+speech+detection+api/31129/tag+sentiment
INPUT PARAMETERS

Tag Sentiment — Endpoint Features

Object Description
url Required Enter the video URL

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

url
API EXAMPLE RESPONSE
JSON
{
    "success": true,
    "data": {
        "url": "https://www.facebook.com/leomessi/videos/1214407187496899/",
        "summary": "The transcript consists of a repetitive affirmative response, indicating agreement or acknowledgment.",
        "mainTopics": [
            "Affirmation",
            "Agreement"
        ],
        "keyPoints": [
            "The speaker is confirming information.",
            "The communication is extremely brief."
        ],
        "tone": "Neutral",
        "targetAudience": "General",
        "quotes": [
            "Sí. Sí. Sí."
        ],
        "timeline": "The entire transcript is a single, continuous sequence of affirmative responses.",
        "sentiment": "neutral",
        "emotions": {
            "joy": "10",
            "anger": "0",
            "sadness": "0",
            "fear": "0",
            "surprise": "0",
            "disgust": "0",
            "neutral": "90"
        },
        "dominant_emotion": "neutral"
    }
}
Tag Sentiment — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/13685/facebook+speech+detection+api/31129/tag+sentiment?url=https://www.facebook.com/leomessi/videos/1214407187496899/' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

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 Facebook Speech Detection API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

Facebook Speech Detection API is a powerful speech and content analysis solution designed to extract meaningful insights from spoken content in Facebook videos. By providing a Facebook video URL, users can automatically analyze the speech within the video and receive structured information about its meaning, emotional characteristics, sentiment, and key themes.

The API processes spoken content and generates a concise summary that captures the main idea of the video.

Facebook Speech Detection API FAQs

Key fields in the response include "summary," "mainTopics," "keyPoints," "tone," "targetAudience," "quotes," "timeline," "sentiment," and "emotions," which provide a comprehensive analysis of the video's content.

The response data is organized in a JSON format, with a "success" field indicating the request status and a "data" object containing detailed insights about the video, such as summaries and emotional analysis.

The endpoint provides insights on sentiment, emotions, tone, topics, summaries, key points, quotes, and audience insights, allowing users to understand the video's content and emotional context.

Users can customize their requests by providing different Facebook video URLs to analyze various videos, allowing for tailored insights based on the specific content of each video.

Typical use cases include content summarization, sentiment analysis for marketing, audience engagement assessment, and extracting key themes for research or content creation based on video analysis.

Data accuracy is maintained through advanced AI algorithms that analyze speech patterns and emotional cues, ensuring reliable extraction of insights from the spoken content in videos.

Users can utilize the returned data to create summaries for reports, identify key themes for content strategy, assess audience sentiment, and enhance engagement by understanding emotional responses to video content.

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