Last updated: March 15, 2026

Choose Steve AI if you need varied video styles (animated, whiteboard, live-action), extensive branding controls, and multi-language support for long-form content. Choose Raw Shorts if you prioritize fast generation of short-form social media videos at lower cost with a simpler API. Both platforms offer REST APIs for automated pipelines, but they target different ends of the video creation spectrum.

Table of Contents

Platform Overview

Steve AI positions itself as a versatile AI video creation tool that supports multiple video styles, including animated, live-action, and whiteboard formats. It offers a cloud-based editor alongside AI generation capabilities, with a focus on accessibility for both technical and non-technical users.

Raw Shorts specializes in AI-powered short video creation, particularly suited for social media content, advertisements, and quick promotional materials. The platform emphasizes speed and simplicity, generating videos from text prompts with minimal configuration.

API Capabilities and Developer Features

For developers, programmatic access determines how deeply a platform integrates into custom workflows. Both services provide REST APIs, but their capabilities and documentation quality vary.

Steve AI API

Steve AI offers a REST API that enables programmatic video generation from scripts and templates. The API supports creating videos from text input, modifying style parameters, and exporting in various formats.

import requests

def create_steve_ai_video(api_key, script, style="animated"):
    """Create video using Steve AI API"""
    url = "https://api.steve.ai/v1/videos/generate"

    payload = {
        "script": script,
        "style": style,
        "voice": "en-US-Neural2-Female",
        "aspect_ratio": "16:9",
        "resolution": "1080p"
    }

    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }

    response = requests.post(url, json=payload, headers=headers)
    return response.json()

# Example usage
result = create_steve_ai_video(
    api_key="your_steve_ai_key",
    script="Your video script content goes here",
    style="animated"
)
video_id = result.get("video_id")
print(f"Video generation started: {video_id}")

The Steve AI API returns a job ID that you poll to check generation status. Processing times typically range from 3-8 minutes depending on video length and complexity. The API supports webhooks for asynchronous notification when video generation completes.

Raw Shorts API

Raw Shorts provides an API focused on rapid video generation for short-form content. Its API emphasizes speed and simplicity, with straightforward endpoints for text-to-video conversion.

import requests
import time

def create_raw_shorts_video(api_key, script, video_type="social"):
    """Create short video using Raw Shorts API"""
    url = "https://api.rawshorts.com/v1/generate"

    payload = {
        "text": script,
        "type": video_type,
        "duration": 30,  # seconds
        "format": "mp4"
    }

    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }

    response = requests.post(url, json=payload, headers=headers)
    return response.json()

def poll_video_status(api_key, job_id):
    """Poll for video completion"""
    url = f"https://api.rawshorts.com/v1/status/{job_id}"

    while True:
        response = requests.get(url, headers={"Authorization": f"Bearer {api_key}"})
        status = response.json()

        if status["status"] == "completed":
            return status["video_url"]
        elif status["status"] == "failed":
            raise Exception(f"Video generation failed: {status['error']}")

        time.sleep(10)

# Example workflow
result = create_raw_shorts_video(
    api_key="your_raw_shorts_key",
    script="Your short video script",
    video_type="social"
)
video_url = poll_video_status(result["job_id"])
print(f"Video ready: {video_url}")

Raw Shorts typically generates videos faster, with processing times ranging from 1-3 minutes for short-form content. This speed advantage makes it suitable for applications requiring quick turnaround.

Feature Comparison

Video Styles and Templates

Steve AI supports a broader range of video styles, including animated explainers, whiteboard videos, live-action with stock footage, and infographic-style content. The platform provides thousands of templates across different categories and allows granular control over visual elements.

Raw Shorts focuses primarily on short-form video styles optimized for social media platforms. Its template library, while smaller than Steve AI’s, includes purpose-built designs for TikTok, Instagram Reels, YouTube Shorts, and advertisement formats.

Voice and Audio Options

Both platforms offer text-to-speech capabilities with multiple voice options. Steve AI provides a wider selection of voices across languages and accents, with additional control over speech rate and pitch. Raw Shorts includes basic voice customization but with fewer options.

# Steve AI voice options example
steve_voice_options = {
    "voices": ["en-US-Neural2-Female", "en-US-Neural2-Male",
               "en-GB-Neural2-Female", "es-ES-Neural2-Female"],
    "speed": 0.8,  # 0.5 to 1.5
    "pitch": 0
}

# Raw Shorts voice options example
raw_shorts_voice_options = {
    "voice": "female_1",  # or "male_1"
    "speed": "normal"  # or "fast", "slow"
}

Customization and Branding

Steve AI offers more extensive customization options, including custom watermarks, color palette adjustments, font selections, and the ability to upload brand assets. These features are valuable for developers building white-label solutions or maintaining consistent brand identity across video content.

Raw Shorts provides basic customization through preset themes and limited branding options. The platform prioritizes simplicity over granular control, which suits use cases where quick generation matters more than detailed customization.

Side-by-Side Comparison Table

Feature Steve AI Raw Shorts
Video styles Animated, whiteboard, live-action, infographic Social media, ads, explainer shorts
Typical generation time 3-8 minutes 1-3 minutes
Max video length 30+ minutes 3-5 minutes
Voice languages 20+ languages 5-8 languages
Brand asset upload Yes (logo, fonts, colors) Limited (logo only)
Webhook support Yes Polling only
Template library size 1,000+ 300+
API complexity Moderate Simple
Pricing model Per minute of video Per video generated
Best content format YouTube, explainer, training TikTok, Reels, ads

Pricing and Cost Modeling

Understanding the cost per output helps you model API usage at scale.

Steve AI charges based on video length and resolution. A typical 2-minute 1080p animated video costs approximately $0.50-$1.00 per generation through the API, depending on your subscription tier. At 100 videos per month, this works out to $50-100 in generation costs.

Raw Shorts uses a per-video model better suited for short content. A 30-second social video costs roughly $0.10-$0.25, making bulk generation of short clips significantly cheaper. At 100 thirty-second clips per month, costs run $10-25.

For pipelines generating both long-form explainers and social clips, using both platforms in parallel optimizes costs: Steve AI for the 5-minute product demo, Raw Shorts for the 30-second social teaser cut.

Building a Combined Pipeline

When your use case spans both long-form and short-form content, a unified pipeline that routes to the right platform saves both time and cost:

def route_video_request(script, target_platform, duration_seconds):
    """Route video generation to the appropriate platform."""
    if duration_seconds > 180 or target_platform in ["youtube", "training", "webinar"]:
        # Long-form or professional content -> Steve AI
        return create_steve_ai_video(
            api_key=STEVE_AI_KEY,
            script=script,
            style="animated"
        )
    else:
        # Short-form social content -> Raw Shorts
        return create_raw_shorts_video(
            api_key=RAW_SHORTS_KEY,
            script=script,
            video_type="social"
        )

This routing logic keeps costs predictable and matches output quality to platform expectations. A 15-second Instagram Reel does not need the full rendering pipeline Steve AI applies to a 10-minute explainer.

Integration Considerations

When evaluating these platforms for your project, consider these technical factors:

Steve AI advantages:

Raw Shorts advantages:

Decision Framework

Your choice depends on the primary use case:

For developers building video automation systems that require both long-form content and social media clips, combining both platforms in a single pipeline may provide optimal results. Use Steve AI for explainer videos and detailed content, while using Raw Shorts for quick social media updates and advertisements.

Error Handling and Webhook Integration

Production video pipelines need resilient error handling. Steve AI’s webhook support lets you avoid polling loops, which is important when generating dozens of videos simultaneously.

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/webhooks/steve-ai', methods=['POST'])
def handle_steve_ai_webhook():
    """Receive Steve AI completion webhook."""
    data = request.json
    video_id = data.get('video_id')
    status = data.get('status')
    video_url = data.get('video_url')

    if status == 'completed':
        # Store the URL and notify downstream systems
        save_video_result(video_id, video_url)
        trigger_downstream_workflow(video_id)
    elif status == 'failed':
        error = data.get('error', 'Unknown error')
        log_failure(video_id, error)
        schedule_retry(video_id)

    return jsonify({'received': True}), 200

Raw Shorts requires polling, but you can wrap it in a background task queue like Celery or RQ to avoid blocking your main application thread. For high-volume pipelines generating 50+ videos per day, webhook-based processing (Steve AI) reduces infrastructure load compared to continuous polling (Raw Shorts).

Both platforms support retry logic for transient failures. Network timeouts during upload, temporary rendering queue backlogs, and stock asset licensing checks can all cause intermittent failures. Always implement exponential backoff before marking a job as failed.

Frequently Asked Questions

Can I use the first tool and the second tool together?

Yes, many users run both tools simultaneously. the first tool and the second tool serve different strengths, so combining them can cover more use cases than relying on either one alone. Start with whichever matches your most frequent task, then add the other when you hit its limits.

Which is better for beginners, the first tool or the second tool?

It depends on your background. the first tool tends to work well if you prefer a guided experience, while the second tool gives more control for users comfortable with configuration. Try the free tier or trial of each before committing to a paid plan.

Is the first tool or the second tool more expensive?

Pricing varies by tier and usage patterns. Both offer free or trial options to start. Check their current pricing pages for the latest plans, since AI tool pricing changes frequently. Factor in your actual usage volume when comparing costs.

How often do the first tool and the second tool update their features?

Both tools release updates regularly, often monthly or more frequently. Feature sets and capabilities change fast in this space. Check each tool’s changelog or blog for the latest additions before making a decision based on any specific feature.

What happens to my data when using the first tool or the second tool?

Review each tool’s privacy policy and terms of service carefully. Most AI tools process your input on their servers, and policies on data retention and training usage vary. If you work with sensitive or proprietary content, look for options to opt out of data collection or use enterprise tiers with stronger privacy guarantees.