Python SDK for Whiteframes AI — create AI-powered videos programmatically
Project description
Whiteframes AI Python SDK
Create AI-powered videos programmatically with a single Python call.
Installation
pip install whiteframes
Quick Start
from whiteframes import WhiteframesAI
client = WhiteframesAI(api_key="wfai_your_key_here")
# Create a video (blocks until ready, ~2 minutes)
video = client.create_video(
prompt="Explain how neural networks learn",
voice="Stephen",
quality="standard",
scenes=8,
video_type="educational",
)
print(video.title) # "How Neural Networks Learn"
print(len(video.scenes)) # 8
print(video.scenes[0].narration)
Async (non-blocking)
job = client.create_video_async(prompt="Explain blockchain")
print(job.job_id) # save this, poll later
# Poll manually
job.refresh()
print(job.status, job.progress)
# Or block with progress callback
def show_progress(progress, message):
print(f"[{progress}%] {message}")
video = job.wait(on_progress=show_progress)
Supported Voices
| voiceId | Language | Gender |
|---|---|---|
| Stephen | en-US | Male |
| Matthew | en-US | Male |
| Ruth | en-US | Female |
| Joanna | en-US | Female |
| Amy | en-GB | Female |
| Brian | en-GB | Male |
| Olivia | en-AU | Female |
Supported Video Types
whiteboard, saas-demo, infographic, corporate, architecture,
educational, social-short, pitch, onboarding, storytelling,
news, videocast
Videocast (Multi-speaker)
video = client.create_video(
prompt="Discuss the future of AI",
video_type="videocast",
scenes=8,
speaker_voices={
"speaker_1": "Stephen",
"speaker_2": "Ruth",
"speaker_3": "Brian",
},
)
Error Handling
from whiteframes import WhiteframesAI, InsufficientCreditsError, ContentRejectedError
try:
video = client.create_video(prompt="...")
except InsufficientCreditsError:
print("Not enough credits")
except ContentRejectedError:
print("Content was rejected by moderation")
Get API Key
Sign in at whiteframes.ai → Settings → API Keys → Create Key.
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