Skip to main content

SCNET-OCR-RECOGNITION

OCR识别服务

可对上传的本地文件进行文字识别和信息提取,覆盖多个识别场景,传递识别场景枚举值和需要识别的文件即可调用。

请求参数

  • sceneType: 识别场景。请传递识别场景章节列表中列出的英文标识,如 VAT_INVOICE
  • local_filepath: 上传需要识别的文件,传递本地文件路径。

识别场景

所有识别场景以及每个场景及对应的枚举值sceneType:

  • 通用识别
    • 文字识别: GENERAL
    • 印章识别: SEAL_CHARACTER_RECOGNITION
    • 表格识别: TABLE_RECOGNITION
  • 个人证照
    • 居民身份证: ID_CARD
    • 银行卡: BANK_CARD
    • 社保卡: SOCIAL_SECURITY_CARD
    • 户口本: HOUSEHOLD_REGISTER
    • 出生医学证明: BIRTH_CERTIFICATE
    • 往来港澳通行证: HK_MACAU_PASS
    • 往来台湾通行证: TAIWAN_PASS
    • 台湾居民来往大陆通行证: TAIWAN_MAINLAND_PASS
    • 港澳居民来往内地通行证: HK_MAINLAND_PASS
    • 中国香港身份证: HONG_KONG_IDENTITY_CARD
    • 外国人永久居留身份证: PERMANENT_RESIDENCE_ID_CARD_FOR
    • 结婚证: MARRIAGE_CERTIFICATE
    • 不动产权证书: REAL_ESTATE_OWNERSHIP_CERTIFICAT
    • 机动车行驶证正页: FRONT_PAGE_OF_MOTOR_VEHICLE_DRIV
    • 机动车行驶证副页: SECOND_SHEET_OF_MOTOR_VEHICLE_DR
    • 机动车驾驶证正页: MOTOR_VEHICLE_DRIVING_LICENSE
    • 机动车驾驶证副页: MOTOR_VEHICLE_DRIVING_LICENSE_SU
    • 中国护照: CHINESE_PASSPORT
    • 学历证书: ACADEMIC_CERTIFICATE
    • 学历证书电子注册备案表: ONLINE_VERIFICATION_REPORT_OF_HE
    • 学位证书: DIPLOMA
  • 行业资质
    • 营业执照: BUSINESS_LICENSE
    • 社会团体法人登记证书: SOCIAL_ORG_REG
    • 工会法人资格证书: TRADE_UNION_REG
    • 民办非企业单位登记证书: PRIVATE_NON_ENTERPRISE_REG
    • 事业单位法人证书: INSTITUTION_LEGAL_REG
    • 统一社会信用代码证书: UNIFIED_SOCIAL_CREDIT_REG
    • 食品经营许可证: FOOD_BUSINESS_LICENSE
    • 食品生产许可证: FOOD_PRODUCTION_LICENSE
    • 卫生许可证: HYGIENE_LICENSE
    • 金融许可证: FINANCIAL_LICENSE
    • 金融机构代码证: FINANCIAL_INSTITUTION_CODE_CERT
    • 支付业务许可证: PAYMENT_BUSINESS_LICENSE
    • 开户许可证: ACCOUNT_OPENING_LICENSE
    • 商标注册证: TRADEMARK_REGISTRATION_CERT
    • 税务登记证: TAX_REGISTRATION_CERT
    • 组织机构代码证: ORGANIZATION_CODE_CERT
  • 财务票据
    • 增值税发票: VAT_INVOICE
    • 增值税通行费发票: VAT_TOLL_INVOICE
    • 增值税卷票: VAT_ROLL_INVOICE
    • 出租车发票: TAXI_INVOICE
    • 火车票: TRAIN_TICKET
    • 航空运输电子客票行程单: AIRPORT_TICKET
    • 机动车销售统一发票: VEHICLE_SALE_INVOICE
    • 定额发票: QUOTA_INVOICE
    • 过路过桥费发票: TOLL_INVOICE
    • 医疗门诊发票: MEDICAL_INVOICE
    • 医疗住院发票: MEDICAL_INPATIENT_INVOICE
    • 医疗费用结算单: MEDICAL_EXPENSE_SETTLEMENT
    • 税收完税证明: TAX_CERTIFICATE
    • 船票: SHIP_TICKET
    • 非税票据: NON_TAX_BILL
    • 通用机打发票: GENERAL_MACHINE_INVOICE
    • 汽车票: BUS_TICKET
    • 网约车行程单: RIDE_HAILING_ITINERARY
    • 银联POS签购单: UNIONPAY_POS_RECEIPT
  • 金融单据
    • 银行汇票: BANK_DRAFT
    • 银行承兑汇票: BANK_ACCEPTANCE_BILL
    • 电子银行承兑汇票: ELECTRONIC_BANK_ACCEPTANCE_BILL
    • 商业承兑汇票: COMMERCIAL_ACCEPTANCE_BILL
    • 电子商业承兑汇票: ELECTRONIC_COMMERCIAL_ACCEPTANCE
    • 银行支票: BANK_CHECK
    • 银行回单: BANK_RECEIPT
    • 进账单: DEPOSIT_SLIP
    • 电汇凭证: TELEGRAPHIC_TRANSFER_VOUCHER
    • 支款凭证: WITHDRAWAL_VOUCHER
    • 移动支付账单: MOBILE_PAYMENT_BILL
    • 财政授权支付凭证: FISCAL_AUTH_PAYMENT_VOUCHER
    • 海关专用缴款书: CUSTOMS_PAYMENT_RECEIPT
    • 海关进/出口货物报关单: CUSTOMS_DECLARATION
    • 国际汇票: INTERNATIONAL_BILL
    • 商业发票: COMMERCIAL_INVOICE
    • 原产地证明: CERTIFICATE_OF_ORIGIN
    • 货物运输保险单: CARGO_TRANSPORT_INSURANCE
    • 装箱单: PACKING_LIST
    • 提单: BILL_OF_LADING

返回结构

  • 识别结果整体以:code、message、data结构返回;
  • 识别结果code中,返回200标识识别成功,返回500表示识别失败,失败时message字段会返回失败原因描述;
  • 识别结果data中,可能包含多个结果(一份文件中可能包含多个凭证),每个识别结果中,包含fileIndex(文件页数)、cutIndex(文件中第几张凭证)、coordinate(文件中第几张凭证的坐标)、confidence(文字置信度)基础字段和:
    • 对于 GENERAL 文字识别,包含ocrText字段;
    • 对于 SEAL_CHARACTER_RECOGNITION 印章识别,包含stamps字段;
    • 对于 TABLE_RECOGNITION 表格识别,包含tables字段;
    • 除上述特殊识别外,其他识别场景包含fields字段。
  • ocrText字段值为字符串,表示识别的文字内容;
  • stamps字段值为列表,表示识别的多个印章,每个识别的印章包含stampPosition(印章所在坐标)、stampConfidence(印章文字置信度)、stampShape(印章形状)、stampColor(印章颜色)、stampType(印章类型)、stampTextList(印章文字信息)字段;
  • tables字段值为列表,表示识别的多个表格,每个识别的表格包含type(表格类型,wired_table表示有线表格,wireless_table表示无线表格)、bbox(表格所在坐标)、html(表格html格式内容)字段;
  • fields字段值为列表,表示识别的多个字段结果。key表示要素英文名称,name表示要素中文名称。当value结果有值时,要素为单值字段;当listValue结果有值时,要素为细项列表字段,listValue为二维数组结构,第一层表示有多少行,第二层表示列,每列包含key,name,value结果。

识别成功返回结构示例

{
  "code": 200,
  "message": "SUCCESS",
  "data": [
    {
      "fileIndex": 1,
      "cutIndex": 1,
      "coordinate": [19, 2023, 19, 0, 3724, 0, 3724, 2023],
      "confidence": 0.923,
      "fields": [
        {
          "key": "title",
          "name": "标题",
          "value": "广东增值税电子普通发票"
        },
        {
          "key": "invoiceCode",
          "name": "发票代码",
          "value": "12078687162"
        },
        {
          "key": "goodsDetails",
          "name": "发票商品明细",
          "listValue": [
            [
              {
                "key": "goodsName",
                "name": "货物服务名称",
                "value": "*运输服务*客票款"
              },
              {
                "key": "itemAmount",
                "name": "金额",
                "value": "1223.98"
              }
            ],
            [
              {
                "key": "goodsName",
                "name": "货物服务名称",
                "value": "*运输服务*客运燃油附加费"
              },
              {
                "key": "itemAmount",
                "name": "金额",
                "value": "120.00"
              }
            ]
          ]
        }
      ]
    }
  ]
}

识别错误返回结构示例

{
  "code": 500,
  "message": "请求服务发生错误,获取数据错误,请联系管理员",
  "data": null
}

GENERAL 文字识别返回结果示例

{
  "code": 200,
  "message": "SUCCESS",
  "data": [
    {
      "fileIndex": 1,
      "cutIndex": 1,
      "coordinate": [19, 2023, 19, 0, 3724, 0, 3724, 2023],
      "confidence": 0.923,
      "ocrText": "悯农李绅锄禾日当午,汗滴禾下土。谁知盘中餐,粒粒皆辛苦。"
    }
  ]
}

SEAL_CHARACTER_RECOGNITION 印章识别返回结果示例

{
  "code": 200,
  "message": "SUCCESS",
  "data": [
    {
      "fileIndex": 1,
      "cutIndex": 1,
      "coordinate": [19, 2023, 19, 0, 3724, 0, 3724, 2023],
      "confidence": 0.923,
      "stamps": [
        {
          "stampPosition": [566, 46, 789, 269],
          "stampConfidence": 0.9686,
          "stampShape": "圆形",
          "stampColor": "红色",
          "stampType": "合同专用章",
          "stampTextList": [
            "某某某某管理有限公司",
            "合同专用章"
          ]
        }
      ]
    }
  ]
}

TABLE_RECOGNITION 表格识别返回结果示例

{
  "code": 200,
  "message": "SUCCESS",
  "data": [
    {
      "fileIndex": 1,
      "cutIndex": 1,
      "coordinate": [19, 2023, 19, 0, 3724, 0, 3724, 2023],
      "confidence": 0.923,
      "tables": [
        {
          "type": "wired_table",
          "bbox": [14, 101, 839, 484],
          "html": "<html><body><table><tr><td rowspan=2 colspan=1>学期科目</td><td rowspan=1 colspan=2>初一</td><td rowspan=1 colspan=2>初 二</td><td rowspan=1 colspan=2>初 三</td></tr><tr><td rowspan=1 colspan=1>第一学期</td><td rowspan=1 colspan=1>第二学期</td><td rowspan=1 colspan=1>第一学期</td><td rowspan=1 colspan=1>第二学期</td><td rowspan=1 colspan=1>第一学期</td><td rowspan=1 colspan=1>第二学期</td></tr><tr><td rowspan=1 colspan=1>语文</td><td rowspan=1 colspan=1>86</td><td rowspan=1 colspan=1>88</td><td rowspan=1 colspan=1>87</td><td rowspan=1 colspan=1>90</td><td rowspan=1 colspan=1>81</td><td rowspan=1 colspan=1>90</td></tr><tr><td rowspan=1 colspan=1>数学</td><td rowspan=1 colspan=1>85</td><td rowspan=1 colspan=1>90</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>87</td><td rowspan=1 colspan=1>79</td></tr><tr><td rowspan=1 colspan=1>英语</td><td rowspan=1 colspan=1>85</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>90</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>95</td><td rowspan=1 colspan=1>94</td></tr><tr><td rowspan=1 colspan=1>物理</td><td rowspan=1 colspan=1>86</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>88</td><td rowspan=1 colspan=1>88</td><td rowspan=1 colspan=1>84</td><td rowspan=1 colspan=1>89</td></tr><tr><td rowspan=1 colspan=1>化学</td><td rowspan=1 colspan=1>86</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>91</td></tr><tr><td rowspan=1 colspan=1>生物</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>85</td><td rowspan=1 colspan=1>95</td><td rowspan=1 colspan=1>85</td><td rowspan=1 colspan=1>91</td><td rowspan=1 colspan=1>90</td></tr><tr><td rowspan=1 colspan=1>政治</td><td rowspan=1 colspan=1>85</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>91</td><td rowspan=1 colspan=1>79</td></tr><tr><td rowspan=1 colspan=1>历史</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>91</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>91</td><td rowspan=1 colspan=1>90</td></tr><tr><td rowspan=1 colspan=1>地理</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>92</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>89</td><td rowspan=1 colspan=1>91</td><td rowspan=1 colspan=1>79</td></tr></table></body></html>"
        }
      ]
    }
  ]
}

Release files for scnet-ocr-recognition 1.0.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scnet-ocr-recognition 1.0.8
File Size Uploaded
scnet_ocr_recognition-1.0.8.tar.gz 20.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for scnet-ocr-recognition 1.0.8
File Interpreter ABI Platform
scnet_ocr_recognition-1.0.8-py3-none-any.whl Python 3 none any Details

Total release size: 46.0 kB

Release files / scnet_ocr_recognition-1.0.8.tar.gz

Download URL scnet_ocr_recognition-1.0.8.tar.gz
Size 20.3 kB
Tags Source
SHA-256 checksum
How to use checksums
eefa6d1101c64b041a83e506cbb0fb692a7cd9904b56fa49bc2fc07c8b169198
BLAKE2b-256 checksum
How to use checksums
83634ebaec4435438d77adf865957a4193c3ca207e84af0d392dcde8609dca4c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.12.0 {"installer":{"name":"uv","version":"0.12.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release files / scnet_ocr_recognition-1.0.8-py3-none-any.whl

Download URL scnet_ocr_recognition-1.0.8-py3-none-any.whl
Size 25.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9c6df975a0f5140517b121e7a93720ae7ef860fb8f6489d900517b23901af685
BLAKE2b-256 checksum
How to use checksums
547e3f54c3620902bf5eff30a7e70bf40d9a9b98cd26bde736bf40f2c7ed111e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.12.0 {"installer":{"name":"uv","version":"0.12.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release history Release notifications | RSS feed

This release

1.0.8 This release

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page