接入全国领先的征信OCR识别引擎,最快1天完成对接。支持SaaS API和私有化本地部署两种方式。
联系商务获取Token ──→ 阅读API文档 ──→ 调用上传接口 ──→ 轮询获取结果
联系拼图配商务团队获取企业专属 API Token:
- 📞 188 9871 0887
- 🌐 www.ipipei.com
将征信报告或银行流水文件上传至您的文件服务器,获取可公网访问的 URL 地址。
调用 enterpriseApi/fileUpload 接口提交文件进行识别。
使用上传接口返回的 resultId,调用 enterpriseApi/fileResult 接口获取解析结果。
文件解析为异步操作,
isSuccess为0时表示仍在解析中,建议间隔 3-5 秒轮询。
import requests
import time
BASE_URL = "https://api.ipipei.com"
TOKEN = "your_api_token"
HEADERS = {
"Content-Type": "application/json; charset=UTF-8",
"Authorization": f"Bearer {TOKEN}"
}
def upload_credit_file(file_url, analysis_type="详版征信", file_type="pdf", file_name=None):
"""上传征信文件进行识别"""
payload = {
"requestCode": f"req_{int(time.time() * 1000)}",
"analysisType": analysis_type,
"fileType": file_type,
"filePackage": file_url,
"isNeedReport": "1"
}
if file_name and file_type == "pdf":
payload["fileName"] = file_name
resp = requests.post(f"{BASE_URL}/enterpriseApi/fileUpload", json=payload, headers=HEADERS)
result = resp.json()
if result["code"] == "200":
print(f"上传成功,resultId: {result['data']}")
return result["data"]
else:
print(f"上传失败: {result['msg']}")
return None
def get_parse_result(result_id, max_retries=20, interval=5):
"""轮询获取解析结果"""
request_code = f"req_{int(time.time() * 1000)}"
for i in range(max_retries):
payload = {
"requestCode": request_code,
"resultId": result_id,
"isPdfAddress": "1"
}
resp = requests.post(f"{BASE_URL}/enterpriseApi/fileResult", json=payload, headers=HEADERS)
result = resp.json()
if result["code"] != "200":
print(f"查询失败: {result['msg']}")
return None
data = result["data"]
status = data.get("isSuccess", "0")
if status == "1":
print("解析完成!")
return data
elif status == "2":
print(f"解析失败: {data.get('errorMessage', '未知错误')}")
return None
else:
print(f"解析中... ({i + 1}/{max_retries})")
time.sleep(interval)
print("超时:文件解析未完成")
return None
if __name__ == "__main__":
# 上传PDF征信报告
result_id = upload_credit_file(
file_url="https://your-server.com/files/credit_report.pdf",
analysis_type="详版征信",
file_type="pdf",
file_name="credit_report.pdf"
)
if result_id:
# 轮询获取结果
data = get_parse_result(result_id)
if data:
print(f"文件名: {data.get('fileName')}")
print(f"页数: {data.get('pageCount')}")
print(f"文件类型: {data.get('fileType')}")
# 征信数据在 creditMessage_new 字段中
credit_data = data.get("creditMessage_new", "")
if credit_data:
print("征信数据获取成功")import java.net.http.*;
import java.net.URI;
public class CreditOcrClient {
private static final String BASE_URL = "https://api.ipipei.com";
private static final String TOKEN = "your_api_token";
public static String uploadFile(String fileUrl, String analysisType, String fileType) throws Exception {
String json = String.format("""
{
"requestCode": "req_%d",
"analysisType": "%s",
"fileType": "%s",
"filePackage": "%s",
"isNeedReport": "1"
}
""", System.currentTimeMillis(), analysisType, fileType, fileUrl);
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(BASE_URL + "/enterpriseApi/fileUpload"))
.header("Content-Type", "application/json; charset=UTF-8")
.header("Authorization", "Bearer " + TOKEN)
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println("Response: " + response.body());
return response.body();
}
public static String getResult(String resultId) throws Exception {
String json = String.format("""
{
"requestCode": "req_%d",
"resultId": "%s",
"isPdfAddress": "1"
}
""", System.currentTimeMillis(), resultId);
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(BASE_URL + "/enterpriseApi/fileResult"))
.header("Content-Type", "application/json; charset=UTF-8")
.header("Authorization", "Bearer " + TOKEN)
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
return response.body();
}
}# 1. 上传PDF征信文件
curl -X POST https://api.ipipei.com/enterpriseApi/fileUpload \
-H "Content-Type: application/json; charset=UTF-8" \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{
"requestCode": "unique-request-id-001",
"analysisType": "详版征信",
"fileType": "pdf",
"fileName": "credit_report.pdf",
"filePackage": "https://your-server.com/files/credit_report.pdf",
"isNeedReport": "1"
}'
# 2. 上传图片征信文件(多张)
curl -X POST https://api.ipipei.com/enterpriseApi/fileUpload \
-H "Content-Type: application/json; charset=UTF-8" \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{
"requestCode": "unique-request-id-002",
"analysisType": "简版征信",
"fileType": "img",
"filePackage": "https://your-server.com/img/page1.png,https://your-server.com/img/page2.png"
}'
# 3. 查询解析结果
curl -X POST https://api.ipipei.com/enterpriseApi/fileResult \
-H "Content-Type: application/json; charset=UTF-8" \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{
"requestCode": "unique-request-id-001",
"resultId": "上传接口返回的resultId",
"isPdfAddress": "1"
}'
# 4. 查询企业使用额度
curl -X POST https://api.ipipei.com/enterpriseApi/fileFileCount \
-H "Content-Type: application/json; charset=UTF-8" \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{
"pageNum": "1",
"pageSize": "500"
}'- 异步解析:文件上传后为异步处理,需轮询
fileResult接口获取结果 - 轮询间隔:建议 3-5 秒轮询一次,避免频繁请求
- 文件大小:注意不同类型文件的大小限制(详版征信 ≤100M,简版 ≤15M,企业征信 ≤1M,流水 ≤10M)
- 文件URL:
filePackage需传入可公网访问的文件URL地址 - 数据安全:建议使用 HTTPS 协议传输,文件URL建议设置有效期
除 SaaS API 接入外,拼图配还支持 私有化本地部署,所有征信OCR识别和征信分析处理在客户内网完成。如需私有化部署方案,请联系商务团队。