diffu-0.2 โ Spanish Invoice Data Extractor (Vision)
diffu-0.2 is a fine-tuned vision-language model for structured data extraction from Spanish invoice images. Built by V10 Labs, it extracts supplier details, tax IDs, amounts, and dates from invoice photographs and scans.
Performance
| Model | Accuracy | Type |
|---|---|---|
| diffu-0.2 (this model) | 93.39% | Fine-tuned, vision |
| diffu-0.1 (V10 Labs) | 92.82% | Fine-tuned, text-only |
| Claude Sonnet 4.6 | 61.6% | Generalist, zero-shot |
| Qwen3-VL-4B (base) | 54.4% | Generalist, zero-shot |
Per-Field Accuracy
| Field | Accuracy |
|---|---|
| supplier | 92.06% |
| supplier_cif | 94.12% |
| invoice_number | 91.35% |
| date | 95.33% |
| subtotal | 92.06% |
| tax_total | 89.25% |
| total | 92.99% |
| doc_type | 100.00% |
Model Details
- Base model: Qwen/Qwen3-VL-4B-Instruct
- Method: LoRA (r=64, alpha=128)
- Target modules: q_proj, v_proj, k_proj, o_proj, gate_proj, up_proj, down_proj
- Training: 2 epochs, LR=1e-4, effective batch size 16
- Image resolution: 256-1280 ร 28 ร 28 pixels
- Adapter size: 504 MB
- Peak VRAM: 22.57 GB (training), ~10 GB (inference)
- Parse failures: 0%
Output Format
Usage
About V10 Labs
V10 Labs builds AI-powered financial intelligence for SMBs in Spain. We train purpose-built models that outperform general-purpose LLMs on domain-specific tasks like invoice processing, accounting classification, and financial analysis.
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Model tree for V10LabsAI/diffu-0.2-adapter
Base model
Qwen/Qwen3-VL-4B-Instruct