Bria Remove Video Background
Bria Video AI enhances videos up to 8K while seamlessly removing backgrounds for professional quality content.
API
If you're looking for an API, you can choose from your desired programming language.
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import requests
import base64
# Use this function to convert an image file from the filesystem to base64
def image_file_to_base64(image_path):
with open(image_path, 'rb') as f:
image_data = f.read()
return base64.b64encode(image_data).decode('utf-8')
# Use this function to fetch an image from a URL and convert it to base64
def image_url_to_base64(image_url):
response = requests.get(image_url)
image_data = response.content
return base64.b64encode(image_data).decode('utf-8')
# Use this function to convert a list of image URLs to base64
def image_urls_to_base64(image_urls):
return [image_url_to_base64(url) for url in image_urls]
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/bria-remove-video-background"
# Request payload
data = {
"video_url": "https://segmind-resources.s3.amazonaws.com/input/650fd563-ca86-4c29-8bce-165b6e23bd41-couple_dance.mp4",
"background_color": "Green",
"output_container_and_codec": "mp4_h264"
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
Provide the video URL for background removal. Use high-quality videos for best results.
Set the output background color. Choose "Transparent" for clear backgrounds, or "Black" for dramatic effect.
Allowed values:
Select output format and codec. "mp4_h264" is optimal for compatibility.
Allowed values:
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Resources to get you started
Everything you need to know to get the most out of Bria Remove Video Background
Bria Video AI: Professional Video Enhancement Models Guide
Bria Video AI brings state-of-the-art video upscaling and background removal to your workflow. Whether you’re a content creator, post-production artist, or educator, this guide explains how to harness Bria’s power through the right parameter choices.
1. Getting Started
- •Provide a high-resolution source via the
video_urlparameter. The better your input, the cleaner the result. - •Choose an output
background_colorandoutput_container_and_codecbased on your distribution or editing needs. - •Submit jobs asynchronously to batch-process multiple clips without manual overhead.
2. Parameter Recommendations
video_url (Required)
- •Always use HTTPS-accessible URLs hosting uncompressed or lightly compressed footage.
- •Avoid already low-resolution or highly artifacted files to prevent magnified imperfections.
background_color (Optional)
- •Transparent (default): Ideal for further compositing in NLEs (e.g., After Effects, Premiere Pro).
- •Black / White: Quick, standalone videos for social media reels or product showcases.
- •Gray: Neutral backdrops for e-learning and training modules.
- •Red / Green / Blue: Single-color keys for custom chroma-key replacements.
- •Other colors (Yellow, Cyan, Magenta, Orange): Creative branding or thematic consistency.
output_container_and_codec (Optional)
- •mp4_h264 (default): Best compatibility across desktop, mobile, and web platforms.
- •mp4_h265: Higher compression at similar quality; reduces file size for long-form content.
- •webm_vp9: Open-source, excellent for embedding on HTML5 sites.
- •mov_proresks: Recommended for professional editing workflows and color grading.
- •gif: Perfect for short, shareable loops or social media previews.
- •Alternative MKV options: Use h264/h265/vp9 variants when archival flexibility is needed.
3. Best Practices
- •Maintain Aspect Ratio & Frame Rate: Bria automatically preserves these—no manual scaling required.
- •Batch Processing: Queue multiple
video_urlinputs asynchronously to leverage cloud scalability. - •Preview Small Clips: Test settings on 5–10 second segments before committing to full-length jobs.
- •Monitor Processing Times: Higher resolutions (4K–8K) scale processing duration; plan accordingly.
4. Example Workflows
- •Social Media Teaser
•video_url: high-def cut
•background_color: Black
•output_container_and_codec: mp4_h264 - •Professional Edit Prep
•video_url: original camera files
•background_color: Transparent
•output_container_and_codec: mov_proresks - •E-Learning Module
•video_url: lecture recording
•background_color: Gray
•output_container_and_codec: mp4_h265
By following these guidelines and selecting parameters tailored to your use case, Bria Video AI will accelerate your video enhancement pipeline while maintaining top-tier quality.
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