Python SDK for Creative Tagger — structured creative intelligence API
Project description
Creative Tagger Python SDK
Python client for Creative Tagger — structured creative intelligence API for performance marketing.
Analyze any ad creative (video, image, carousel, landing page, email) and get back structured classification across 28 taxonomy dimensions.
Install
pip install creative-tagger
Quick Start
from creative_tagger import CreativeTagger
ct = CreativeTagger(api_key="ct_...")
# Analyze a video ad
result = ct.analyze("./ad_video.mp4", brand="Brand")
print(result.naming.default)
# → BRAND_UGC_Creator_LoFi_VOMus-Pop-Conv_ShopNow_9x16_30s_V1
print(result.visual.hook_type) # → UGC
print(result.messaging_angle) # → ProbSol
print(result.creative_type) # → Testimonial
print(result.production_type) # → LoFiUGC
print(result.offer_type) # → PctOff
# Analyze a landing page
result = ct.analyze_url("https://example.com/lp", brand="BrandX")
print(result.visual_hierarchy) # → HeroFocus
# Analyze email HTML
result = ct.analyze_email(html_string, brand="BrandX")
print(result.email_structure) # → SingleCTA
Batch Analysis
results = ct.analyze_batch(["ad1.mp4", "ad2.jpg", "ad3.png"], brand="Brand")
# Export to CSV-ready rows
import csv
rows = [r.to_row() for r in results]
Async Support
result = await ct.analyze_async("./ad.mp4", brand="Brand")
Local Development
Point to a local Creative Tagger API:
ct = CreativeTagger(base_url="http://localhost:8000")
License
MIT
Project details
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