接口说明
接口说明
#接口Demo
demo 覆盖部分语言，其他语言参照下方接口文档进行开发。
欢迎热心的开发者到“讯飞开放平台社区 ” 分享你们的demo。
#接口要求
| 内容 | 说明 |
|---|---|
| 传输方式 | http[s] (为提高安全性，强烈推荐https) |
| 请求地址 | http[s]: //api.xf-yun.com/v1/private/sb6db0171 注：服务器IP不固定，为保证您的接口稳定，请勿通过指定IP的方式调用接口，使用域名方式调用 |
| 请求方式 | POST |
| 接口鉴权 | 签名机制，详情请参照下方鉴权认证 |
| 字符编码 | UTF-8 |
| 响应格式 | 统一采用JSON格式 |
| 开发语言 | 任意，只要可以向讯飞云服务发起HTTP请求的均可 |
| 适用范围 | 任意操作系统，但因不支持跨域不适用于浏览器 |
| 图片格式 | jpg/jpeg/png/bmp |
| 图片大小 | 图像数据按要求编码后(base64编码后进行urlencode)大小不超过4M |
#接口调用流程
· 将请求参数以及图片数据放在Http Request Body中，以POST表单的形式提交，详见下方 请求参数 。
· 向服务器端发送Http请求后，接收服务器端的返回结果。
#鉴权认证
#鉴权方法
http://api.xf-yun.com/v1/private/sb6db0171?authorization=YXBpX2tleT0iOTEyMDVhZmUwZDE3ZTM4YzYxYmUzNWZjYTM0NjUwM2MiLCBhbGdvcml0aG09ImhtYWMtc2hhMjU2IiwgaGVhZGVycz0iaG9zdCBkYXRlIHJlcXVlc3QtbGluZSIsIHNpZ25hdHVyZT0iWlpHb3Z3dkxFdEJuaVluREp2ajhJY0RlYld1TmxKTjhtYTFZSGNpS3dTST0i&host=api.xf-yun.com%3A-1&date=Tue%2C+24+Nov+2020+03%3A20%3A09+GMT| 参数 | 类型 | 必须 | 说明 | 示例 |
|---|---|---|---|---|
| host | string | 是 | 请求主机 | api.xf-yun.com |
| date | string | 是 | 当前时间戳，RFC1123格式("EEE, dd MMM yyyy HH:mm:ss z") | Fri, 17 Jul 2020 06:26:58 GMT |
| authorization | string | 是 | 使用base64编码的签名相关信息(签名基于hamc-sha256计算) | 参考下方详细生成规则 |
服务端会对date进行时钟偏移检查，最大允许300秒的偏差，超出偏差的请求都将被拒绝。
在讯飞开放平台控制台，创建一个应用后打开出租车发票识别页面可以获取，均为32位字符串。
api_key="$api_key",algorithm="hmac-sha256",headers="host date request-line",signature="$signature"signature 是使用加密算法对参与签名的参数签名后并使用base64编码的字符串，详见下方。
拼接的格式为(\n为换行符,’:’后面有一个空格)：
host: $host\ndate: $date\n$request-line请求url = api.xf-yun.com
date = Fri, 17 Jul 2020 06:26:58 GMThost: api.xf-yun.com
date:Fri, 17 Jul 2020 06:26:58 GMT
POST /v1/private/sb6db0171 HTTP/1.1signature_sha=hmac-sha256(signature_origin,$apiSecret)signature=base64(signature_sha)APISecret = apisecretXXXXXXXXXXXXXXXXXXXXXXX
date = Fri, 17 Jul 2020 06:26:58 GMTsignature=9iaFiQ5zSoYwjOvSrjYqP/bR26XWdGTC2CNvx4wP6hc=api_key="apikeyXXXXXXXXXXXXXXXXXXXXXXXXXX", algorithm="hmac-sha256", headers="host date request-line", signature="9iaFiQ5zSoYwjOvSrjYqP/bR26XWdGTC2CNvx4wP6hc="authorization = base64(authorization_origin)
示例：
authorization=YXBpX2tleT0iOTEyMDVhZmUwZDE3ZTM4YzYxYmUzNWZjYTM0NjUwM2MiLCBhbGdvcml0aG09ImhtYWMtc2hhMjU2IiwgaGVhZGVycz0iaG9zdCBkYXRlIHJlcXVlc3QtbGluZSIsIHNpZ25hdHVyZT0iOWlhRmlRNXpTb1l3ak92U3JqWXFQL2JSMjZYV2RHVEMyQ052eDR3UDZoYz0i#鉴权结果
| HTTP Code | 说明 | 错误描述信息 | 解决方法 |
|---|---|---|---|
| 401 | 缺少authorization参数 | {"message":"Unauthorized"} | 检查是否有authorization参数，详情见authorization参数详细生成规则 |
| 401 | 签名参数解析失败 | {“message”:”HMAC signature cannot be verified”} | 检查签名的各个参数是否有缺失是否正确，特别确认下复制的api_key是否正确 |
| 401 | 签名校验失败 | {“message”:”HMAC signature does not match”} | 签名验证失败，可能原因有很多。 1. 检查api_key，api_secret 是否正确。 2.检查计算签名的参数host，date，request-line是否按照协议要求拼接。 3. 检查signature签名的base64长度是否正常(正常44个字节)。 |
| 403 | 时钟偏移校验失败 | {“message”:”HMAC signature cannot be verified, a valid date or x-date header is required for HMAC Authentication”} | 检查服务器时间是否标准，相差5分钟以上会报此错误 |
HTTP/1.1 403 Forbidden
Date: Fri, 17 Jul 2020 06:26:58 GMT
Content-Length: 116
Content-Type: text/plain; charset=utf-8
{
"message": "HMAC signature does not match"
}| 字段 | 数据类型 | 含义 | 说明 |
|---|---|---|---|
| engine_version | string | 引擎版本号 | 版本相关信息，无需特别关注 |
| error_code | int | 返回码（0表示成功） | |
| error_msg | string | 描述返回码信息 | |
| object_count | int | 目标数量 | 目前仅支持一次识别一个目标，一般返回1 |
| object_list | array | 目标版面分析结果 | |
| object_list.description | string | 识别的目标图像类别名称 | |
| object_list.error_code | int | 当前图片识别错误码（0表示成功） | |
| object_list.error_msg | string | 当前图片识别错误码信息 | |
| object_list.height | int | 目标图像的高度 | |
| object_list.idx | int | 输出图片索引 | |
| object_list.region_count | int | 通用区域数量 | |
| object_list.region_list | array | 通用区域 | |
| object_list.region_list.id | string | 序号，从0开始 | |
| object_list.region_list.order | int | 同层级内的阅读顺序 | 无需特别关注 |
| object_list.region_list.position | object | 区域位置 | |
| object_list.region_list.position.bl_point | object | 区域左下角坐标 | |
| object_list.region_list.position.bl_point.x | int | 区域左下角x坐标 | |
| object_list.region_list.position.bl_point.y | int | 区域左下角y坐标 | |
| object_list.region_list.position.br_point | object | 区域右下角坐标 | |
| object_list.region_list.position.br_point.x | int | 区域右下角x坐标 | |
| object_list.region_list.position.br_point.y | int | 区域右下角y坐标 | |
| object_list.region_list.position.tl_point | object | 区域左上角坐标 | |
| object_list.region_list.position.tl_point.x | int | 区域左上角x坐标 | |
| object_list.region_list.position.tl_point.y | int | 区域左上角y坐标 | |
| object_list.region_list.position.tr_point | object | 区域右上角坐标 | |
| object_list.region_list.position.tr_point.x | int | 区域右上角x坐标 | |
| object_list.region_list.position.tr_point.y | int | 区域右上角y坐标 | |
| object_list.region_list.text_block_count | int | 文本块数量 | |
| object_list.region_list.text_block_list | array | 文本块结果 | |
| object_list.region_list.text_block_list.class | string | 所属要素类型，英文名 | 可能返回的值有 Plate-number：车牌号 Date：日期 Time：上下车时间 Number3_price：单价 Number4_mileage：里程 Number5_amount：金额 Number2_code：号码 Number1_code：代码 unknown_type：未知类型 |
| object_list.region_list.text_block_list.id | string | id识别码 | |
| object_list.region_list.text_block_list.key | string | 要素key值 | 可能返回的值有 Plate-number：车牌号 Date：日期 Time：上下车时间 Number3_price：单价 Number4_mileage：里程 Number5_amount：金额 Number2_code：号码 Number1_code：代码 unknown_type：未知类型 |
| object_list.region_list.text_block_list.ocr_flag | int | 当前要素是否进行识别，1代表识别，0代表不识别 | |
| object_list.region_list.text_block_list.order | int | 同层级内的阅读顺 | 无需特别关注 |
| object_list.region_list.text_block_list.position | object | 文本块区域位置 | |
| object_list.region_list.text_block_list.position.bl_point | object | 区域左下角坐标 | |
| object_list.region_list.text_block_list.position.bl_point.x | int | 区域左下角x坐标 | |
| object_list.region_list.text_block_list.position.bl_point.y | int | 区域左下角y坐标 | |
| object_list.region_list.text_block_list.position.br_point | object | 区域右下角坐标 | |
| object_list.region_list.text_block_list.position.br_point.x | int | 区域右下角x坐标 | |
| object_list.region_list.text_block_list.position.br_point.y | int | 区域右下角y坐标 | |
| object_list.region_list.text_block_list.position.tl_point | object | 区域左上角坐标 | |
| object_list.region_list.text_block_list.position.tl_point.x | int | 区域左上角x坐标 | |
| object_list.region_list.text_block_list.position.tl_point.y | int | 区域左上角y坐标 | |
| object_list.region_list.text_block_list.position.tr_point | object | 区域右上角坐标 | |
| object_list.region_list.text_block_list.position.tr_point.x | int | 区域右上角x坐标 | |
| object_list.region_list.text_block_list.position.tr_point.y | int | 区域右上角y坐标 | |
| object_list.region_list.text_block_list.tag | object | 保留字段，无需特别关注 | |
| object_list.region_list.text_block_list.text_sent_count | int | 文本行数量 | |
| object_list.region_list.text_block_list.text_sent_list | object | 识别的文本行（文本块内可能包含多行文本） | |
| object_list.region_list.text_block_list.text_sent_list.angle | float | 文本行角度（0-360），在原图中 | |
| object_list.region_list.text_block_list.text_sent_list.char_count | int | 文本 行字符数 | |
| object_list.region_list.text_block_list.text_sent_list.det_score | float | 要素检测框置信度 | 无需特别关注 |
| object_list.region_list.text_block_list.text_sent_list.position | object | 文本块区域位置 | |
| object_list.region_list.text_block_list.text_sent_list.position.bl_point | object | 区域左下角坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.bl_point.x | int | 区域左下角x坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.bl_point.y | int | 区域左下角y坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.br_point | object | 区域右下角坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.br_point.x | int | 区域右下角x坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.br_point.y | int | 区域右下角y坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.tl_point | object | 区域左上角坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.tl_point.x | int | 区 域左上角x坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.tl_point.y | int | 区域左上角y坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.tr_point | object | 区域右上角坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.tr_point.x | int | 区域右上角x坐标 | |
| object_list.region_list.text_block_list.text_sent_list.position.tr_point.y | int | 区域右上角y坐标 | |
| object_list.region_list.text_block_list.text_sent_list.score | float | 该行文本识别置信度 | |
| object_list.region_list.text_block_list.text_sent_list.text | string | 文本行文字内容 | |
| object_list.region_list.text_block_list.value | string | 要素value值，识别后处理结果 | |
| object_list.table_count | int | 表格区域数量 | 出租车发票识别此项返回0 |
| object_list.table_list | array | 表格区域 | 出租车发票识别此项返回空 |
| object_list.region_list.type | string | 区域类型 | 可能返回的值有 Plate-number：车牌号 Date：日期 Time：上下车时间 Number3_price：单价 Number4_mileage：里程 Number5_amount：金额 Number2_code：号码 Number1_code：代码 unknown_type：未知类型 |
| object_list.width | int | 目标图像的宽度 | |
| version | string | json协议的版本号 | 版本相关信息，无需特别关注 |
{
"header": {
"code": 0,
"message": "success",
"sid": "ase000704fa@dx16ade44e4d87a1c802"
},
"payload": {
"result": {
"encoding": "utf8",
"compress": "raw",
"format": "json",
"text": ""
}
}
}{
"error_msg": "Success",
"object_list": [
{
"table_count": 0,
"region_list": [
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.73776042461395264,
"det_score": 0.96717560291290283,
"image_data": "/9j/4AAQSkZJRgABAQ...",
"angle": -1.1771469116210938,
"char_count": 9,
"position": {
"bl_point": {
"x": 434,
"y": 542
},
"br_point": {
"x": 287,
"y": 538
},
"tr_point": {
"x": 288,
"y": 507
},
"tl_point": {
"x": 434,
"y": 510
}
},
"text": "XXXXXX"
}
],
"id": "0",
"position": {
"bl_point": {
"x": 287,
"y": 544
},
"br_point": {
"x": 436,
"y": 544
},
"tr_point": {
"x": 436,
"y": 507
},
"tl_point": {
"x": 287,
"y": 507
}
},
"tag": "",
"class": "Plate-number",
"value": "XXXXX",
"key": "Plate-number",
"order": 0
}
],
"text_block_count": 1,
"id": "0",
"position": {
"bl_point": {
"x": 287,
"y": 544
},
"br_point": {
"x": 436,
"y": 544
},
"tr_point": {
"x": 436,
"y": 507
},
"tl_point": {
"x": 287,
"y": 507
}
},
"type": "Plate-number",
"order": 0
},
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.9061053991317749,
"det_score": 0.99669802188873291,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAA..",
"angle": -1.1771469116210938,
"char_count": 10,
"position": {
"bl_point": {
"x": 434,
"y": 573
},
"br_point": {
"x": 293,
"y": 565
},
"tr_point": {
"x": 294,
"y": 537
},
"tl_point": {
"x": 436,
"y": 546
}
},
"text": "2017-04-16"
}
],
"id": "1",
"position": {
"bl_point": {
"x": 293,
"y": 575
},
"br_point": {
"x": 437,
"y": 575
},
"tr_point": {
"x": 437,
"y": 537
},
"tl_point": {
"x": 293,
"y": 537
}
},
"tag": "",
"class": "Date",
"value": "2017-04-16",
"key": "Date",
"order": 0
}
],
"text_block_count": 1,
"id": "1",
"position": {
"bl_point": {
"x": 293,
"y": 575
},
"br_point": {
"x": 437,
"y": 575
},
"tr_point": {
"x": 437,
"y": 537
},
"tl_point": {
"x": 293,
"y": 537
}
},
"type": "Date",
"order": 1
},
{
"text_block_list": [
{
"text_sent_count": 2,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.73123711347579956,
"det_score": 0.99676227569580078,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAAD/...",
"angle": -1.1771469116210938,
"char_count": 6,
"position": {
"bl_point": {
"x": 429,
"y": 605
},
"br_point": {
"x": 356,
"y": 598
},
"tr_point": {
"x": 358,
"y": 570
},
"tl_point": {
"x": 432,
"y": 578
}
},
"text": "09·04"
},
{
"score": 0.73523759841918945,
"det_score": 0.9944683313369751,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABA..",
"angle": -3.247344970703125,
"char_count": 5,
"position": {
"bl_point": {
"x": 432,
"y": 636
},
"br_point": {
"x": 356,
"y": 629
},
"tr_point": {
"x": 358,
"y": 601
},
"tl_point": {
"x": 435,
"y": 609
}
},
"text": "11.13"
}
],
"id": "2",
"position": {
"bl_point": {
"x": 356,
"y": 638
},
"br_point": {
"x": 437,
"y": 638
},
"tr_point": {
"x": 437,
"y": 570
},
"tl_point": {
"x": 356,
"y": 570
}
},
"tag": "",
"class": "Time",
"value": "09·04\n11.13",
"key": "Time",
"order": 0
}
],
"text_block_count": 1,
"id": "2",
"position": {
"bl_point": {
"x": 356,
"y": 638
},
"br_point": {
"x": 437,
"y": 638
},
"tr_point": {
"x": 437,
"y": 570
},
"tl_point": {
"x": 356,
"y": 570
}
},
"type": "Time",
"order": 2
},
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.70418941974639893,
"det_score": 0.97946321964263916,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAA..",
"angle": -1.1771469116210938,
"char_count": 4,
"position": {
"bl_point": {
"x": 433,
"y": 668
},
"br_point": {
"x": 368,
"y": 661
},
"tr_point": {
"x": 370,
"y": 634
},
"tl_point": {
"x": 436,
"y": 642
}
},
"text": "1.95"
}
],
"id": "3",
"position": {
"bl_point": {
"x": 368,
"y": 670
},
"br_point": {
"x": 438,
"y": 670
},
"tr_point": {
"x": 438,
"y": 634
},
"tl_point": {
"x": 368,
"y": 634
}
},
"tag": "",
"class": "Number3_price",
"value": "1.95",
"key": "Number3_price",
"order": 0
}
],
"text_block_count": 1,
"id": "3",
"position": {
"bl_point": {
"x": 368,
"y": 670
},
"br_point": {
"x": 438,
"y": 670
},
"tr_point": {
"x": 438,
"y": 634
},
"tl_point": {
"x": 368,
"y": 634
}
},
"type": "Number3_price",
"order": 3
},
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.71924251317977905,
"det_score": 0.98933231830596924,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA..",
"angle": -1.1771469116210938,
"char_count": 7,
"position": {
"bl_point": {
"x": 484,
"y": 705
},
"br_point": {
"x": 355,
"y": 693
},
"tr_point": {
"x": 357,
"y": 662
},
"tl_point": {
"x": 487,
"y": 675
}
},
"text": "160.7Km"
}
],
"id": "4",
"position": {
"bl_point": {
"x": 355,
"y": 707
},
"br_point": {
"x": 488,
"y": 707
},
"tr_point": {
"x": 488,
"y": 662
},
"tl_point": {
"x": 355,
"y": 662
}
},
"tag": "",
"class": "Number4_mileage",
"value": "160.7Km",
"key": "Number4_mileage",
"order": 0
}
],
"text_block_count": 1,
"id": "4",
"position": {
"bl_point": {
"x": 355,
"y": 707
},
"br_point": {
"x": 488,
"y": 707
},
"tr_point": {
"x": 488,
"y": 662
},
"tl_point": {
"x": 355,
"y": 662
}
},
"type": "Number4_mileage",
"order": 4
},
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.82717829942703247,
"det_score": 0.99477493762969971,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAAD..",
"angle": -1.1771469116210938,
"char_count": 7,
"position": {
"bl_point": {
"x": 435,
"y": 813
},
"br_point": {
"x": 327,
"y": 804
},
"tr_point": {
"x": 330,
"y": 777
},
"tl_point": {
"x": 437,
"y": 786
}
},
"text": "#319.00"
}
],
"id": "5",
"position": {
"bl_point": {
"x": 327,
"y": 815
},
"br_point": {
"x": 439,
"y": 815
},
"tr_point": {
"x": 439,
"y": 777
},
"tl_point": {
"x": 327,
"y": 777
}
},
"tag": "",
"class": "Number5_amount",
"value": "#319.00",
"key": "Number5_amount",
"order": 0
}
],
"text_block_count": 1,
"id": "5",
"position": {
"bl_point": {
"x": 327,
"y": 815
},
"br_point": {
"x": 439,
"y": 815
},
"tr_point": {
"x": 439,
"y": 777
},
"tl_point": {
"x": 327,
"y": 777
}
},
"type": "Number5_amount",
"order": 5
},
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.88599294424057007,
"det_score": 0.99178153276443481,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAAD..",
"angle": -1.1771469116210938,
"char_count": 8,
"position": {
"bl_point": {
"x": 477,
"y": 319
},
"br_point": {
"x": 315,
"y": 319
},
"tr_point": {
"x": 315,
"y": 285
},
"tl_point": {
"x": 477,
"y": 285
}
},
"text": "18618831"
}
],
"id": "6",
"position": {
"bl_point": {
"x": 315,
"y": 320
},
"br_point": {
"x": 478,
"y": 320
},
"tr_point": {
"x": 478,
"y": 285
},
"tl_point": {
"x": 315,
"y": 285
}
},
"tag": "",
"class": "Number2_code",
"value": "18618831",
"key": "Number2_code",
"order": 0
}
],
"text_block_count": 1,
"id": "6",
"position": {
"bl_point": {
"x": 315,
"y": 320
},
"br_point": {
"x": 478,
"y": 320
},
"tr_point": {
"x": 478,
"y": 285
},
"tl_point": {
"x": 315,
"y": 285
}
},
"type": "Number2_code",
"order": 6
},
{
"text_block_list": [
{
"text_sent_count": 1,
"ocr_flag": 1,
"text_sent_list": [
{
"score": 0.91875529289245605,
"det_score": 0.99018138647079468,
"image_data": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA..",
"angle": -1.1771469116210938,
"char_count": 12,
"position": {
"bl_point": {
"x": 511,
"y": 254
},
"br_point": {
"x": 308,
"y": 254
},
"tr_point": {
"x": 308,
"y": 214
},
"tl_point": {
"x": 511,
"y": 214
}
},
"text": "122001671681"
}
],
"id": "7",
"position": {
"bl_point": {
"x": 308,
"y": 255
},
"br_point": {
"x": 512,
"y": 255
},
"tr_point": {
"x": 512,
"y": 214
},
"tl_point": {
"x": 308,
"y": 214
}
},
"tag": "",
"class": "Number1_code",
"value": "122001671681",
"key": "Number1_code",
"order": 0
}
],
"text_block_count": 1,
"id": "7",
"position": {
"bl_point": {
"x": 308,
"y": 255
},
"br_point": {
"x": 512,
"y": 255
},
"tr_point": {
"x": 512,
"y": 214
},
"tl_point": {
"x": 308,
"y": 214
}
},
"type": "Number1_code",
"order": 7
}
],
"error_msg": "Success",
"region_count": 8,
"width": 640,
"description": "出租车票",
"error_code": 0,
"idx": 0,
"type": "",
"height": 853,
"table_list": [
]
}
],
"object_count": 1,
"error_code": 0,
"engine_version": "2.0.2005",
"version": 2.0
}#错误码
| 错误码 | 错误描述 | 说明 | 处理策略 |
|---|---|---|---|
| 10009 | input invalid data | 输入数据非法 | 检查输入数据 |
| 10010 | service license not enough | 没有授权许可或授权数已满 | 请到控制台提交工单联系技术人员 |
| 10019 | service read buffer timeout, session timeout | session超时 | 检查是否数据发送完毕但未关闭连接 |
| 10139 | invalid param | 参数错误 | 检查参数是否正确 |
| 10160 | parse request json error | 请求数据格式非法 | 检查请求数据是否是合法的json |
| 10161 | parse base64 string error | base64解码失败 | 检查发送的数据是否使用base64编码了 |
| 10163 | param validate error:... | 参数校验失败 | 具体原因见详细的描述 |
| 10222 | context deadline exceeded | 上传的数据超过了接口上限 | 检查接口上传的图片是否超越了接口的最大限制 |
| 10223 | RemoteLB: can't find valued addr | lb 找不到节点 | 请到控制台提交工单联系技术人员 |
| 10313 | invalid appid | appid和apikey不匹配 | 检查appid是否合法 |
#调用示例
#常见问题
#出租车发票识别的主要功能是什么？
答：基于行业领先的光学字符识别技术，将图片上的文字内容直接转化为可编辑文本。实现高精准，毫秒级识别体验。
#出租车发票识别支持什么应用平台？
答：目前支持Web API应用平台。
#出租车发票识别对图片大小最大支持多少？
答：图像数据base64编码后进行urlencode，要求base64编码和urlencode后大小不超过4M。
修改于 2023-12-21 02:47:46