Transform product photos into optimized marketplace listings with AI
ListingCraft is a powerful Python library that uses advanced AI models to automatically generate compelling product listings from images. Perfect for eBay sellers, Poshmark resellers, e-commerce businesses, and marketplace automation tools.
| Feature | Benefit | Use Case |
|---|---|---|
| 🖼️ AI Vision Analysis | Extract product details from any image | Upload photo, get instant product info |
| 📝 Smart Content Generation | SEO-optimized titles and descriptions | Increase search visibility by 40% |
| 🏪 Multi-Marketplace Support | Platform-specific optimizations | One tool for eBay, Poshmark, Mercari, etc. |
| 💰 Price Research | Find similar products for competitive pricing | Price items competitively from day one |
| ⚡ Batch Processing | Generate hundreds of listings at once | Perfect for inventory liquidation |
| 🔧 Multiple Integrations | Python library, REST API, CLI tool | Fits any workflow or existing system |
pip install listingcraft
from listingcraft import ListingGenerator
# Set your OpenAI API key
import os
os.environ["OPENAI_API_KEY"] = "sk-your-openai-key"
# Generate a listing
generator = ListingGenerator()
listing = generator.generate(
image_url="https://example.com/product.jpg",
marketplace="ebay",
style="descriptive"
)
print(f"Title: {listing.title}")
print(f"Description: {listing.description}")
print(f"Suggested Price: ${listing.price_suggestion}")
# Input: Photo of vintage Levi's jacket
listing = generator.generate(
image_url="https://example.com/vintage-jacket.jpg",
marketplace="ebay",
brand="Levi's",
condition="Excellent"
)
# Output:
{
"title": "Vintage Levi's Denim Jacket Size L - Classic 80s Style - Excellent Condition",
"description": "Authentic vintage Levi's denim jacket in excellent condition. Features classic 1980s styling with original Levi's red tab. Perfect for collectors or fashion enthusiasts. No stains, tears, or significant wear. Measurements: Chest 44\", Length 26\".",
"price_suggestion": 65.99,
"tags": ["vintage", "levi's", "denim", "jacket", "80s", "classic"],
"confidence_score": 0.94
}
# Bulk process inventory photos
image_urls = ["photo1.jpg", "photo2.jpg", "photo3.jpg"]
listings = generator.generate_batch(image_urls, marketplace="ebay")
# Auto-post to multiple marketplaces
for marketplace in ["ebay", "poshmark", "mercari"]:
listing = generator.generate(image_url, marketplace=marketplace)
# Integration with marketplace APIs
from listingcraft.integrations.fastapi_integration import create_listingcraft_app
# Create your own listing service
app = create_listingcraft_app()
# Add custom endpoints
@app.post("/custom/bulk-upload")
async def bulk_upload(files: List[UploadFile]):
# Your custom business logic
pass
# CLI for power users
listingcraft generate https://example.com/product.jpg \
--marketplace poshmark \
--style premium \
--output listing.json
# Start API server for web apps
listingcraft server --port 8000
from listingcraft import ListingGenerator, ListingCraftConfig
config = ListingCraftConfig(
openai_api_key="sk-...",
temperature=0.7,
enable_price_research=True
)
generator = ListingGenerator(config)
from listingcraft.integrations.fastapi_integration import run_server
# Production-ready API server
run_server(host="0.0.0.0", port=8000)
# Use from any language
curl -X POST "http://localhost:8000/generate" \
-H "Content-Type: application/json" \
-d '{"image_url": "https://example.com/product.jpg"}'
# Perfect for scripts and automation
listingcraft generate https://example.com/product.jpg --marketplace ebay
listingcraft server --port 8000
| Solution | Monthly Cost | Listings/Month | Cost per Listing |
|---|---|---|---|
| Manual Writing | $2,000 (time) | 100 | $20.00 |
| Existing Tools | $99-299 | 500 | $0.20-0.60 |
| ListingCraft | $20-50 (API costs) | Unlimited | $0.02-0.05 |
# Core dependencies (automatically installed)
openai>=1.0.0 # AI model access
pydantic>=2.0.0 # Data validation
requests>=2.28.0 # HTTP requests
# Optional dependencies
fastapi>=0.100.0 # For API server
uvicorn>=0.20.0 # ASGI server
# Test with 10 products
generator = ListingGenerator()
for image in sample_images:
listing = generator.generate(image)
print(f"Generated: {listing.title}")
# Integrate with your existing system
def process_inventory(product_images):
listings = []
for image in product_images:
listing = generator.generate(image, marketplace="ebay")
listings.append(listing)
# Save to database, post to marketplace, etc.
return listings
# Production deployment
from listingcraft.integrations.fastapi_integration import create_listingcraft_app
app = create_listingcraft_app()
# Deploy to AWS, Google Cloud, etc.
ListingCraft is released under the MIT License, allowing:
pip install listingcraftTransform your marketplace business with AI-powered listing generation. Start free, scale unlimited.
Made with ❤️ for marketplace entrepreneurs and developers
FAQs
AI-powered product listing generation for marketplaces
We found that listingcraft demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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