Text to Video with Captions

npm install axios

pip install requests

import axios from "axios";

const API_BASE_URL = "https://api.pictory.ai/pictoryapis";
const API_KEY = "YOUR_API_KEY";

// Story text - used for AI visual selection and content understanding
const STORY_TEXT = "AI is poised to significantly impact educators and course creators on social media.";

// Caption text - displayed as subtitles (Spanish translation)
const CAPTION_TEXT = "La IA está destinada a impactar significativamente a los educadores y creadores de cursos en las redes sociales.";

async function createTextToVideoWithCaption() {
  try {
    console.log("Creating video with custom captions...");

    const response = await axios.post(
      `${API_BASE_URL}/v2/video/storyboard/render`,
      {
        videoName: "text_to_video_with_caption",
        scenes: [
          {
            story: STORY_TEXT,              // English for visual selection
            caption: CAPTION_TEXT,          // Spanish for subtitles
            captionLanguage: "es",          // Spanish language code
            createSceneOnNewLine: false,    // Required when using captions
            createSceneOnEndOfSentence: false, // Required when using captions
          },
        ],
      },
      {
        headers: {
          "Content-Type": "application/json",
          Authorization: API_KEY,
        },
      }
    );

    const jobId = response.data.data.jobId;
    console.log("✓ Video creation started!");
    console.log("Job ID:", jobId);

    // Monitor progress
    console.log("\nMonitoring video creation...");
    let jobCompleted = false;
    let jobResult = null;

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

      const status = statusResponse.data.data.status;
      console.log("Status:", status);

      if (status === "completed") {
        jobCompleted = true;
        jobResult = statusResponse.data;
        console.log("\n✓ Video with captions is ready!");
        console.log("Video URL:", jobResult.data.videoURL);
      } else if (status === "failed") {
        throw new Error("Video creation failed: " + JSON.stringify(statusResponse.data));
      }

      await new Promise(resolve => setTimeout(resolve, 5000));
    }

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

createTextToVideoWithCaption();

import requests
import time
import json

API_BASE_URL = 'https://api.pictory.ai/pictoryapis'
API_KEY = 'YOUR_API_KEY'

# Story text - used for AI visual selection and content understanding
STORY_TEXT = "AI is poised to significantly impact educators and course creators on social media."

# Caption text - displayed as subtitles (Spanish translation)
CAPTION_TEXT = "La IA está destinada a impactar significativamente a los educadores y creadores de cursos en las redes sociales."

def create_text_to_video_with_caption():
    try:
        print("Creating video with custom captions...")

        response = requests.post(
            f'{API_BASE_URL}/v2/video/storyboard/render',
            json={
                'videoName': 'text_to_video_with_caption',
                'scenes': [
                    {
                        'story': STORY_TEXT,              # English for visual selection
                        'caption': CAPTION_TEXT,          # Spanish for subtitles
                        'captionLanguage': 'es',          # Spanish language code
                        'createSceneOnNewLine': False,    # Required when using captions
                        'createSceneOnEndOfSentence': False  # Required when using captions
                    }
                ]
            },
            headers={
                'Content-Type': 'application/json',
                'Authorization': API_KEY
            }
        )
        response.raise_for_status()

        job_id = response.json()['data']['jobId']
        print("✓ Video creation started!")
        print(f"Job ID: {job_id}")

        # Monitor progress
        print("\nMonitoring video creation...")
        job_completed = False
        job_result = None

        while not job_completed:
            status_response = requests.get(
                f'{API_BASE_URL}/v1/jobs/{job_id}',
                headers={'Authorization': API_KEY}
            )
            status_response.raise_for_status()

            status = status_response.json()['data']['status']
            print(f"Status: {status}")

            if status == 'completed':
                job_completed = True
                job_result = status_response.json()
                print("\n✓ Video with captions is ready!")
                print(f"Video URL: {job_result['data']['videoURL']}")
            elif status == 'failed':
                raise Exception(f"Video creation failed: {status_response.json()}")

            time.sleep(5)

        return job_result

    except requests.exceptions.RequestException as error:
        print(f"Error: {error}")
        raise

if __name__ == '__main__':
    create_text_to_video_with_caption()