Fully automated Video Captions generation with json2video

For json2video, this automated workflow generates captions for your videos, enhancing accessibility and engagement. Simply provide your video URL and dimensions, and the workflow will handle the rest, ensuring high-quality captioning with minimal effort. Enjoy seamless integration and real-time status updates, making video content more inclusive and impactful.

7/8/2025
12 nodes
Medium
manualmediumwaitnoopsticky noteadvancedapiintegrationlogicconditional
Categories:
Manual TriggeredMedium Workflow
Integrations:
WaitNoOpSticky Note

Target Audience

This workflow is ideal for:
- Content Creators: Individuals or teams producing videos who need to add captions efficiently.
- Marketers: Professionals looking to enhance video accessibility and engagement through captions.
- Educators: Teachers and trainers who want to provide clear instructional videos with subtitles.
- Developers: Those integrating video captioning into applications or services using API.

Problem Solved

This workflow addresses the challenge of manually adding captions to videos, which can be time-consuming and prone to errors. By automating the captioning process through the json2video API, users can:
- Save significant time, allowing for faster content production.
- Ensure accuracy in captions, improving viewer comprehension and retention.
- Enhance video accessibility for audiences with hearing impairments.

Workflow Steps

  • Trigger the Workflow: The process begins when you manually click ‘Test workflow’.
    2. Configuration Step: Set the video URL, width, and height using the Config node.
    3. Add Captions: The json2video - Add Captions node sends a request to the json2video API to add captions to the specified video.
    4. Wait for Processing: The workflow pauses for 10 seconds to allow the API to process the request.
    5. Check Status: The json2video - Get Status node checks the status of the video processing.
    6. Error Handling: If an error occurs during processing, the workflow routes to the Handle Error node.
    7. Completion Check: If the video is successfully processed, the workflow proceeds to output the results, including the video URL, duration, and other relevant details.

    • Customization Guide

    To customize this workflow:
    - Change Video URL: Update the video_url in the Config node to point to a different video.
    - Adjust Video Dimensions: Modify the width and height values as needed for your video resolution.
    - API Key Configuration: Ensure your API key is correctly set in the json2video - Add Captions and json2video - Get Status nodes.
    - Error Handling: Customize the Handle Error node to implement specific actions if an error occurs, such as sending notifications or logging errors.