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title: Docling Multi-Template Extraction API
emoji: π
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: apache-2.0
---
# Docling Multi-Template Document Extraction API
π Deploy Docling on Hugging Face Spaces with dynamic template matching for invoice and payment advice extraction.
## Features
- π **Dynamic Template Discovery**: Automatically detects and loads templates from the `templates/` directory
- π― **Smart Name Matching**: Works with any naming convention (snake_case, kebab-case, PascalCase)
- π€ **Auto-Detection**: Automatically identifies document types from content
- π **Structured JSON Output**: Extract invoices, payment advices, and custom documents to JSON
- π **REST API**: Easy integration with n8n, Make, Zapier, or custom workflows
- π¨ **Web UI**: Built-in Gradio interface for testing
## Quick Start
### Deploy to Hugging Face Spaces
1. **Create a new Space:**
- Go to [huggingface.co/spaces](https://huggingface.co/spaces)
- Click "Create new Space"
- Name: `docling-api` (or your preferred name)
- SDK: **Docker**
- Hardware: **CPU basic (free tier)** - 2 vCPU, 16 GB RAM
2. **Clone and push code:**
```bash
git clone https://huggingface.co/spaces/YOUR-USERNAME/docling-api
cd docling-api
# Copy all files from this project
# (app.py, templates/, requirements.txt, Dockerfile, README.md)
git add .
git commit -m "Initial deployment"
git push
```
3. **Wait for build** (5-10 minutes for first deployment)
4. **Your API is live at:** `https://YOUR-USERNAME-docling-api.hf.space`
## API Endpoints
### Extract Document Data
```http
POST /api/extract
Content-Type: multipart/form-data
Query Parameters:
- template_type: auto | payment_advice | invoice | custom_template
```
**Example with curl:**
```bash
curl -X POST "https://YOUR-SPACE.hf.space/api/extract?template_type=auto" \
-F "file=@invoice.pdf"
```
**Response:**
```json
{
"success": true,
"template_used": "invoice",
"data": {
"bill_no": "JRPL14725-26",
"bill_date": "03-12-2025",
"total_amount": 16618.0,
"seller": {
"name": "Jobuss Resources Pvt Ltd",
"gst_no": "27AAECJ2353C1ZX"
},
"buyer": {
"name": "Reliance Industries Limited",
"vendor_code": "3347687"
}
},
"filename": "invoice.pdf"
}
```
### List Available Templates
```http
GET /api/templates
```
### Template Variations
```http
GET /api/templates/variations
```
## Flexible Naming
All these work identically:
```bash
?template_type=payment_advice # snake_case
?template_type=payment-advice # kebab-case
?template_type=PaymentAdvice # PascalCase
?template_type=PAYMENT_ADVICE # UPPER_CASE
```
## Using with n8n
### Setup HTTP Request Node
1. **Method:** POST
2. **URL:** `https://YOUR-SPACE.hf.space/api/extract`
3. **Query Parameters:**
- Name: `template_type`
- Value: `auto` (or specific template name)
4. **Body Content Type:** Multipart-Form-Data
5. **Body Parameters:**
- Name: `file`
- Type: `n8n Binary File`
- Input Data Field Name: `data` (or your binary field)
### Example n8n Workflow
```
[Trigger/File Input]
β
[HTTP Request - Docling API]
β
[Code Node - Parse Response]
β
[Database/Spreadsheet Output]
```
### Parse Response in Code Node (n8n)
```javascript
// Access the extracted data
const response = $input.item.json;
if (response.success) {
const data = response.data;
return {
invoice_number: data.bill_no,
date: data.bill_date,
amount: data.total_amount,
vendor: data.seller?.name,
all_data: data
};
}
```
## Adding Custom Templates
Create a new file in `templates/` directory:
### Example: `templates/purchase_order_template.py`
```python
from pydantic import BaseModel, Field
from typing import Optional, List
class POLineItem(BaseModel):
item_code: Optional[str] = Field(default=None)
description: Optional[str] = Field(default=None)
quantity: Optional[float] = Field(default=None)
unit_price: Optional[float] = Field(default=None)
total: Optional[float] = Field(default=None)
class Vendor(BaseModel):
vendor_id: Optional[str] = Field(default=None)
name: Optional[str] = Field(default=None)
address: Optional[str] = Field(default=None)
class PurchaseOrder(BaseModel):
document_type: str = Field(default="purchase_order")
po_number: Optional[str] = Field(default=None)
po_date: Optional[str] = Field(default=None)
delivery_date: Optional[str] = Field(default=None)
vendor: Optional[Vendor] = Field(default=None)
subtotal: Optional[float] = Field(default=None)
tax_amount: Optional[float] = Field(default=None)
total_amount: Optional[float] = Field(default=None)
line_items: Optional[List[POLineItem]] = Field(default=[])
```
**That's it!** The template is automatically discovered and available at:
```
?template_type=purchase_order
```
## Template Naming Convention
File must follow this pattern:
- **Filename:** `{template_name}_template.py`
- **Class name:** PascalCase version of template_name (e.g., `PurchaseOrder`)
- **Must inherit from:** `pydantic.BaseModel`
Examples:
- `payment_advice_template.py` β class `PaymentAdvice`
- `invoice_template.py` β class `Invoice`
- `purchase_order_template.py` β class `PurchaseOrder`
## Auto-Detection Keywords
Edit `template_router.py` to add detection rules:
```python
detection_rules = {
"payment_advice": ["payment advice", "payment document"],
"invoice": ["tax invoice", "bill no", "invoice date"],
"purchase_order": ["purchase order", "po number"],
"your_custom_type": ["your", "keywords", "here"],
}
```
## Web Interface
Access the Gradio UI at: `https://YOUR-SPACE.hf.space/gradio`
- Upload documents
- Select template or use auto-detect
- View extracted JSON instantly
## Supported Document Formats
- PDF documents
- Images (PNG, JPG, JPEG)
- DOCX (requires additional configuration)
## Hardware Requirements
### Free Tier (CPU basic)
- β
Standard invoices (1-5 pages)
- β
Payment advices
- β
Simple documents
- β οΈ Large PDFs may timeout (30s limit)
### Upgraded Tier (Recommended for production)
- CPU basic upgrade: 4 vCPU, 16 GB RAM
- Faster processing
- Handle larger documents
## Troubleshooting
### Template Not Found Error
```json
{"detail": "Template 'xyz' not found. Available templates: payment_advice, invoice"}
```
**Solution:** Check filename matches `{name}_template.py` pattern
### Timeout Errors
**Solution:** Upgrade to larger hardware tier or reduce document size
### Import Errors
**Solution:** Ensure all dependencies in `requirements.txt` and rebuild Space
## API Rate Limits
Hugging Face Spaces free tier:
- No official rate limit
- Fair usage policy applies
- For production: Consider Hugging Face Pro ($9/month)
## Local Development
```bash
# Clone repository
git clone https://huggingface.co/spaces/YOUR-USERNAME/docling-api
cd docling-api
# Install dependencies
pip install -r requirements.txt
# Run locally
uvicorn app:app --host 0.0.0.0 --port 7860 --reload
```
Access at: `http://localhost:7860`
## Environment Variables
Optional configurations (add in Space settings):
```bash
# Logging level
LOG_LEVEL=INFO
# Max file size (MB)
MAX_FILE_SIZE=50
```
## Security Notes
- β οΈ Free tier Spaces are public by default
- π For sensitive documents, use private Spaces (Hugging Face Pro)
- π Consider adding API key authentication for production
## Contributing
Add new templates or improve detection logic:
1. Fork the Space
2. Add your template in `templates/`
3. Update detection rules in `template_router.py`
4. Test with sample documents
5. Submit pull request
## License
Apache 2.0
## Support
- Documentation: [Docling GitHub](https://github.com/docling-project/docling)
- Issues: Create issue in your Space repository
- Community: Hugging Face Discord
## Credits
Built with:
- [Docling](https://github.com/docling-project/docling) - Document processing
- [FastAPI](https://fastapi.tiangolo.com/) - Web framework
- [Gradio](https://gradio.app/) - Web interface
- [Pydantic](https://docs.pydantic.dev/) - Data validation
---
**Made with β€οΈ for the document automation community** |