from retab import Retab

client = Retab()
response = client.documents.extract(
    json_schema = "Invoice_schema.json",
    document = "Invoice.pdf",
    model="gpt-4.1-nano",
    temperature=0
)

{
    "content": {
        "id": "chatcmpl-AoBs45TNWTB1VKGSXV7NAwCnxMaNN",
        "choices": [
            {
                "finish_reason": "stop",
                "index": 0,
                "logprobs": null,
                "message": {
                    "content": "{\"name\": \"Confirmation d'affr\\u00e9tement\", \"date\": \"2024-11-08\"}",
                    "refusal": null,
                    "role": "assistant",
                    "audio": null,
                    "function_call": null,
                    "tool_calls": [],
                    "parsed": {
                        "name": "Confirmation d'affr\u00e9tement",
                        "date": "2024-11-08"
                    }
                }
            }
        ],
        "created": 1736525396,
        "model": "gpt-4.1-nano",
        "object": "chat.completion",
        "service_tier": "default",
        "system_fingerprint": "fp_f2cd28694a",
        "usage": {
            "completion_tokens": 20,
            "prompt_tokens": 2760,
            "total_tokens": 2780,
            "completion_tokens_details": {
                "accepted_prediction_tokens": 0,
                "audio_tokens": 0,
                "reasoning_tokens": 0,
                "rejected_prediction_tokens": 0
            },
            "prompt_tokens_details": {
                "audio_tokens": 0,
                "cached_tokens": 0
            }
        },
        "likelihoods": {
            "name": 0.7227993785831323,
            "date": 0.7306298416895017
        }
    },
    "error": null
}