本文阐述如何自建并使用OCR识别图片或PDF中文字(转化成文本等进一步处理), 以及NetSuite调用OCR API的场景雏形.
How to extract text from PDF(Image) files. 20251113 引入自建ocr服务

docker部署OCR项目

支持离线+API, 自建ocr服务

Docker compose, vi docker-compose.yml

version: "3"
services:
  trwebocr:
    image: mmmz/trwebocr:latest
    container_name: trwebocr
    restart: unless-stopped
    ports:
      - "8103:8089"
    environment:
      - LANG=zh_CN.UTF-8
    volumes:
      - ./data:/app/tr_web/data  #持久化OCR数据

运行docker后, OCR服务开启

访问方式一: (通过网页访问)

访问方式二: 文字识别API

描述： 进行文字识别与检测的接口

地址： https://ocr.carlzeng.com:3/api/tr-run/

方法： POST

请求参数：

返回参数：

返回示例：

{"code": 200,
 "msg": "\u6210\u529f", 
 "data": {
   "img_detected": "data:image/jpeg;base64,/9j/4AAQSkZJR5t...",
   "raw_out": [[[11, 13, 402, 36], "\u753b\u51fa\u6587\u5b57\u533a\u57df\u7684\u56fe\u7247base64\u503c", 0.9999545514583588], [[11, 112, 215, 36], "\u8bc6\u522b\u7ed3\u679c\u7684\u8f93\u51fa", 0.999962397984096], [[11, 171, 158, 36], "\u8bc6\u522b\u7684\u8017\u65f6", 0.999971580505371]], 
   "speed_time": 0.67}}

本小节灵感:

https://github.com/alisen39/TrWebOCR ）

https://post.smzdm.com/p/agwev0l6/

NetSuite API呼叫OCR

Background: below is SS1.0 as example since it came from NetSuite email plugin, SS2.0 is the same thing.

下面使用的第三方服务平台, 同样把地址修改为上方的自建平台也是实现ocr识别功能.

1. Registry a API key throw https://ocr.space/OCRAPI

There are limitations for Free Plan

2. Save the email attachment(PDF file) to NetSuite FileCabinet, set it to available without login, get the full url address, encode it.

var importFile = attachments[indexAtt];importFile.setIsOnline(true);
var intFileId = nlapiSubmitFile(importFile);
var strInvFileUrl = "https://" + nlapiGetContext().getCompany() + ".app.netsuite.com"+ objInvoiceFileRec.getURL();
strInvFileUrl = encodeURIComponent(strInvFileUrl);

3. Send Request to https://api.ocr.space/parse/imageurl?apikey=abcAPIKEYabc&filetype=PDF&isTable=true&url=

var response = nlapiRequestURL(strReqUrl, null, a);
There are varience of parameters for this API, in my case, it's invoice formated as table, that's why I send isTable=true to identify it; then it will help me to locate the expected cell and values.

4. Got and parsed the Response, we will get the Text messages on the PDF or Images.

var arrParsedLines = (objOcrRes['ParsedResults'] && objOcrRes['ParsedResults'][0]) ? objOcrRes['ParsedResults'][0]['TextOverlay']['Lines']: null;
var objVndBillData = parseDataFromInvPdf(arrParsedLines);

定制服务下单

服务流程

服务内容