A Worker helps you to do the OCR related tasks, it takes few steps to setup Worker before it is fully functional. The full flow is:
- load
- loadLanguauge
- initialize
- setParameters // optional
- recognize or detect
- terminate
Each function is async, so using async/await or Promise is required. When it is resolved, you get an object:
```json
{
"jobId": "Job-1-123",
"data": { ... }
}
```
jobId is generated by Tesseract.js, but you can put your own when calling any of the function above.
<aname="worker-load"></a>
### Worker.load(jobId): Promise
Worker.load() loads tesseract.js-core scripts (download from remote if not presented), it makes Web Worker/Child Process ready for next action.
**Arguments:**
-`jobId` Please see details above
**Examples:**
```javascript
(async () => {
await worker.load();
})();
```
<aname="worker-load-language"></a>
### Worker.loadLanguage(langs, jobId): Promise
Worker.loadLanguage() loads traineddata from cache or download traineddata from remote, and put traineddata into the WebAssembly file system.
**Arguments:**
-`langs` a string to indicate the languages traineddata to download, multiple languages are concated with **+**, ex: **eng+chi\_tra**
-`jobId` Please see details above
**Examples:**
```javascript
(async () => {
await worker.loadLanguage('eng+chi_tra');
})();
```
<aname="worker-initialize"></a>
### Worker.initialize(langs, oem, jobId): Promise
Worker.initialize() initializes the Tesseract API, make sure it is ready for doing OCR tasks.
**Arguments:**
-`langs` a string to indicate the languages loaded by Tesseract API, it can be the subset of the languauge traineddata you loaded from Worker.loadLanguage.
-`oem` a enum to indicate the OCR Engine Mode you use
-`jobId` Please see details above
**Examples:**
```javascript
(async () => {
/** You can load more languages in advance, but use only part of them in Worker.initialize() */
await worker.loadLanguage('eng+chi_tra');
await worker.initialize('eng');
})();
```
<aname="worker-set-parameters"></a>
### Worker.setParameters(params, jobId): Promise
Worker.setParameters() set parameters for Tesseract API (using SetVariable()), it changes the behavior of Tesseract and some parameters like tessedit\_char\_whitelist is very useful.
**Arguments:**
-`params` an object with key and value of the parameters
| tessedit\_ocr\_engine\_mode | enum | OEM.DEFAULT | Check [HERE](https://github.com/tesseract-ocr/tesseract/blob/4.0.0/src/ccstruct/publictypes.h#L268) for definition of each mode |
| tessedit\_pageseg\_mode | enum | PSM.SINGLE\_BLOCK | Check [HERE](https://github.com/tesseract-ocr/tesseract/blob/4.0.0/src/ccstruct/publictypes.h#L163) for definition of each mode |
| tessedit\_char\_whitelist | string | '' | setting white list characters makes the result only contains these characters, useful the content in image is limited |
| preserve\_interword\_spaces | string | '0' | '0' or '1', keeps the space between words |
-`rectangles` an array of objects to specify the regions you want to recognized in the image, each object should contain top, left, width and height, see example below.
createScheduler() is a factory function to create a scheduler, a scheduler manage a job queue and workers to enable multiple workers to work together, it is useful when you want to speed up your performance.
recognize() is a function to quickly do recognize() task, it is not recommended to use in real application, but useful when you want to save some time.