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文档抽取会输出结构化的字段、表格、印章与手写体信息等。本文展示如何触发抽取并解析核心结果。

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触发抽取

Docflow 默认业务流程是 解析->分类->抽取。
因此上传文件后，默认情况下，最终都能获取到抽取结果。 
curl -X POST \
  -H "x-ti-app-id: <your-app-id>" \
  -H "x-ti-secret-code: <your-secret-code>" \
  -F "file=@/path/to/invoice.pdf" \
  "https://docflow.textin.com/api/app-api/sip/platform/v2/file/upload?workspace_id=<your-workspace-id>&batch_number=<your-batch-number>"
也可以结合 category 指定文档类别，这会跳过自动分类，以便匹配相应的字段模板： 
curl -X POST \
  -H "x-ti-app-id: <your-app-id>" \
  -H "x-ti-secret-code: <your-secret-code>" \
  -F "file=@/path/to/invoice.pdf" \
  "https://docflow.textin.com/api/app-api/sip/platform/v2/file/upload?workspace_id=<your-workspace-id>&category=invoice"

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获取并解析抽取结果

curl \
  -H "x-ti-app-id: <your-app-id>" \
  -H "x-ti-secret-code: <your-secret-code>" \
  "https://docflow.textin.com/api/app-api/sip/platform/v2/file/fetch?workspace_id=<your-workspace-id>&batch_number=<your-batch-number>"
结果以JSON结构返回。 其中result.files[].recognition_status表示文件识别状态。跟抽取相关的状态有：
  • 0: 待识别
  • 1: 抽取成功
  • 2: 抽取失败
字段与表格数据位于 result.files[].data 中，关键字段如下：
  • fields[]: 关键键值对，每项包含 key、value 与 position[]（可用于画坐标）
  • items[][]: 表格行的键值对集合
  • stamps[]: 印章信息
  • handwritings[]: 手写体信息

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Python 示例：打印字段和表格

Python
import requests, json

host = "https://docflow.textin.com"
url = "/api/app-api/sip/platform/v2/file/fetch"

resp = requests.get(
    f"{host}{url}",
    params={"workspace_id": "<your-workspace-id>", "batch_number": "<your-batch-number>"},
    headers={"x-ti-app-id": "<your-app-id>", "x-ti-secret-code": "<your-secret-code>"},
    timeout=60,
)

data = resp.json()
for file in data.get("result", {}).get("files", []):
    print("==>", file.get("name"))
    # 基础字段
    for kv in (file.get("data", {}).get("fields", []) or []):
        print(kv.get("key"), ":", kv.get("value"))

    # 表格（items 按行）
    for row in (file.get("data", {}).get("items", []) or []):
        row_dict = {cell.get("key"): cell.get("value") for cell in row}
        print("ROW:", json.dumps(row_dict, ensure_ascii=False))

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关联页面坐标进行可视化

结合 files[].pages[] 的 width/height/angle/dpi 与 fields[].position[].vertices，可在前端精确绘制字段框，详见解析结果可视化。

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关键返回字段示例（节选）

{
  "code": 200,
  "result": {
    "files": [
      {
        "id": "202412190001",
        "name": "invoice.pdf",
        "format": "pdf",
        "pages": [
          {"angle": 0, "width": 1024, "height": 1448, "dpi": 144}
        ],
        "data": {
          "fields": [
            {
              "key": "发票代码",
              "value": "3100231130",
              "position": [
                {"page": 0, "vertices": [0,0,100,0,100,100,0,100]}
              ]
            }
          ],
          "items": [
            [
              {"key": "货物劳务名称", "value": "＊电子计算机＊微型计算机主机"},
              {"key": "规格型号", "value": "DMS-SC68"}
            ]
          ],
          "tables": [
            {"tableName": "table1", "tableType": "0", "items": []}
          ],
          "stamps": [
            {"page": 0, "text": "全国统一发票监制章", "type": "其他", "color": "红色"}
          ],
          "handwritings": [
            {
              "page": 0,
              "text": "3月1日",
              "position": [{"page": 0, "vertices": [0,0,100,0,100,100,0,100]}]
            }
          ],
          "invoiceVerifyResult": {
            "invoiceVerifyStatus": 0,
            "invoiceVerifyErrorCode": 0,
            "invoiceVerifyCanRetry": 1
          }
        },
        "document": {
          "pages": [
            {
              "angle": 0,
              "width": 1024,
              "height": 1448,
              "lines": [
                {"text": "电子发票（普通发票）", "position": [389,45,767,45,767,87,389,87]}
              ]
            }
          ]
        }
      }
    ]
  }
}

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