Contact person: Business Client

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Location: Casablanca, Morocco

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a browser-based script that lets me drop a PDF, JPG or PNG invoice into a simple web form and instantly returns a clean JSON payload with all key details. Accuracy is critical: the extraction must be reliable enough for downstream accounting automation, so please combine smart template-free parsing with solid OCR to reach a very high recognition rate.

Scope of the data to pull
• Seller information – company name, address, phone, VAT/Tax ID, plus any email or website you can confidently detect.
• Line-item table – product or service description, quantity, unit price (HT), VAT rate, and each row’s totals.
• Summary – subtotal, discounts, total VAT, grand total (TTC), currency.

Key constraints
• Language: invoices are primarily in French, so numeric formats (comma decimals, € symbol, “TTC”, etc.) must be handled gracefully.
• Input channel: files arrive only through an upload field on the page or API.
• Handle invoices with different layouts (not only one fixed template).
• Output: a single well-structured JSON object I can consume directly in my codebase.

Deliverables
1. Web-based script (can be: PHP, Python (Flask/Django/FastAPI), or Node.js – I’m open to suggestions.
2. Minimal HTML upload form and a results screen showing the raw JSON.
3. README that explains any third-party libraries, model training steps (if used), and how to extend to additional languages later.
4. Test run on a small set of sample French invoices I’ll provide; success is 95 %+ correct field population across that set.

Feel free to leverage tools like Tesseract, pdfplumber, PyMuPDF, PaddleOCR, spaCy, or even lightweight deep-learning models—whatever gets us the accuracy we need while keeping deployment straightforward. I’m happy to answer technical questions quickly so you can focus on clean code and solid extraction logic." (client-provided description)