Text to Video with Background Music

npm install axios

import axios from "axios";

const API_BASE_URL = "https://api.pictory.ai/pictoryapis";
const CLIENT_ID = "YOUR_CLIENT_ID";
const CLIENT_SECRET = "YOUR_CLIENT_SECRET";

const STORY_TEXT =
  "AI is poised to significantly impact educators and course creators on social media. By automating tasks like content generation, visual design, and video editing, AI will save time and enhance consistency.";

async function createTextToVideoWithBackgroundMusic() {
  try {
    // Step 1: Get Access Token
    console.log("Step 1: Getting access token...");
    const tokenResponse = await axios.post(
      `${API_BASE_URL}/v1/oauth2/token`,
      {
        client_id: CLIENT_ID,
        client_secret: CLIENT_SECRET,
      },
      {
        headers: {
          "Content-Type": "application/json",
        },
      }
    );

    const accessToken = tokenResponse.data.access_token;
    console.log("Access token obtained successfully");
    console.log("Token expires in:", tokenResponse.data.expires_in, "seconds\n");

    // Step 2: Create Video with Custom Background Music
    console.log("Step 2: Creating video with background music...");
    const storyboardResponse = await axios.post(
      `${API_BASE_URL}/v2/video/storyboard/render`,
      {
        videoName: "text_to_video_with_music",
        backgroundMusic: {
          enabled: true,
          musicUrl: "https://example.com/your-music-file.mp3", // Your custom music URL
          volume: 0.3, // Volume level from 0 to 1 (0.3 = 30%)
          clips: [
            {
              start: 10, // Start at 10 seconds in the music file
              end: 70, // End at 70 seconds in the music file
            },
          ],
        },
        scenes: [
          {
            story: STORY_TEXT,
            createSceneOnNewLine: true,
            createSceneOnEndOfSentence: true,
          },
        ],
      },
      {
        headers: {
          "Content-Type": "application/json",
          Authorization: accessToken,
        },
      }
    );

    const renderJobId = storyboardResponse.data.data.jobId;
    console.log("Video with background music render job created");
    console.log("Job ID:", renderJobId, "\n");

    // Step 3: Monitor Job Status
    console.log("Step 3: Monitoring job status...");
    let jobCompleted = false;
    let jobResult = null;

    while (!jobCompleted) {
      const jobStatusResponse = await axios.get(`${API_BASE_URL}/v1/jobs/${renderJobId}`, {
        headers: {
          Authorization: accessToken,
        },
      });

      const status = jobStatusResponse.data.data.status;
      console.log("Current status:", status);

      if (status === "completed") {
        jobCompleted = true;
        jobResult = jobStatusResponse.data;
        console.log("\nVideo with background music created successfully!");
        console.log("Video URL:", jobResult.data.videoURL);
      } else if (status === "failed") {
        throw new Error("Job failed: " + JSON.stringify(jobStatusResponse.data));
      } else {
        // Wait 5 seconds before checking again
        await new Promise(resolve => setTimeout(resolve, 5000));
      }
    }

    return jobResult;
  } catch (error) {
    console.error("Error:", error.response?.data || error.message);
    throw error;
  }
}

// Run the function
createTextToVideoWithBackgroundMusic();

pip install requests

import requests
import time
import json

API_BASE_URL = 'https://api.pictory.ai/pictoryapis'
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'

STORY_TEXT = "AI is poised to significantly impact educators and course creators on social media. By automating tasks like content generation, visual design, and video editing, AI will save time and enhance consistency."

def create_text_to_video_with_background_music():
    try:
        # Step 1: Get Access Token
        print('Step 1: Getting access token...')
        token_response = requests.post(
            f'{API_BASE_URL}/v1/oauth2/token',
            json={
                'client_id': CLIENT_ID,
                'client_secret': CLIENT_SECRET
            },
            headers={
                'Content-Type': 'application/json'
            }
        )
        token_response.raise_for_status()

        access_token = token_response.json()['access_token']
        print('Access token obtained successfully')
        print(f"Token expires in: {token_response.json()['expires_in']} seconds\n")

        # Step 2: Create Video with Custom Background Music
        print('Step 2: Creating video with background music...')
        storyboard_response = requests.post(
            f'{API_BASE_URL}/v2/video/storyboard/render',
            json={
                'videoName': 'text_to_video_with_music',
                'backgroundMusic': {
                    'enabled': True,
                    'musicUrl': 'https://example.com/your-music-file.mp3',  # Your custom music URL
                    'volume': 0.3,  # Volume level from 0 to 1 (0.3 = 30%)
                    'clips': [
                        {
                            'start': 10,   # Start at 10 seconds in the music file
                            'end': 70      # End at 70 seconds in the music file
                        }
                    ]
                },
                'scenes': [
                    {
                        'story': STORY_TEXT,
                        'createSceneOnNewLine': True,
                        'createSceneOnEndOfSentence': True
                    }
                ]
            },
            headers={
                'Content-Type': 'application/json',
                'Authorization': access_token
            }
        )
        storyboard_response.raise_for_status()

        render_job_id = storyboard_response.json()['data']['jobId']
        print('Video with background music render job created')
        print(f'Job ID: {render_job_id}\n')

        # Step 3: Monitor Job Status
        print('Step 3: Monitoring job status...')
        job_completed = False
        job_result = None

        while not job_completed:
            job_status_response = requests.get(
                f'{API_BASE_URL}/v1/jobs/{render_job_id}',
                headers={
                    'Authorization': access_token
                }
            )
            job_status_response.raise_for_status()

            status = job_status_response.json()['data']['status']
            print(f'Current status: {status}')

            if status == 'completed':
                job_completed = True
                job_result = job_status_response.json()
                print('\nVideo with background music created successfully!')
                print(f"Video URL: {job_result['data']['videoURL']}")
            elif status == 'failed':
                raise Exception(f"Job failed: {json.dumps(job_status_response.json())}")
            else:
                # Wait 5 seconds before checking again
                time.sleep(5)

        return job_result

    except requests.exceptions.RequestException as error:
        print(f'Error: {error}')
        if hasattr(error, 'response') and error.response is not None:
            print(f'Response: {error.response.text}')
        raise

# Run the function
if __name__ == '__main__':
    create_text_to_video_with_background_music()

backgroundMusic: {
  enabled: true,
  autoMusic: true,
  volume: 0.4
}

clips: [
  { start: 0, end: 30 }, // First 30 seconds
  { start: 60, end: 90 }, // 30 seconds starting from 1 minute
  { start: 120, end: 180 }, // 1 minute starting from 2 minutes
];