# API
- [createWorker() ](#create-worker )
- [Worker.writeText ](#worker-writeText )
- [Worker.readText ](#worker-readText )
- [Worker.removeFile ](#worker-removeFile )
- [Worker.FS ](#worker-FS )
- [Worker.loadLanguage ](#worker-load-language )
- [Worker.initialize ](#worker-initialize )
- [Worker.setParameters ](#worker-set-parameters )
- [Worker.recognize ](#worker-recognize )
- [Worker.detect ](#worker-detect )
- [Worker.terminate ](#worker-terminate )
- [createScheduler() ](#create-scheduler )
- [Scheduler.addWorker ](#scheduler-add-worker )
- [Scheduler.addJob ](#scheduler-add-job )
- [Scheduler.getQueueLen ](#scheduler-get-queue-len )
- [Scheduler.getNumWorkers ](#scheduler-get-num-workers )
- [setLogging() ](#set-logging )
- [recognize() ](#recognize )
- [detect() ](#detect )
- [PSM ](#psm )
- [OEM ](#oem )
---
< a name = "create-worker" > < / a >
## createWorker(options): Worker
createWorker is a factory function that creates a tesseract worker, a worker is basically a Web Worker in browser and Child Process in Node.
**Arguments:**
- `options` an object of customized options
- `corePath` path for tesseract-core.js script
- `langPath` path for downloading traineddata, do not include `/` at the end of the path
- `workerPath` path for downloading worker script
- `dataPath` path for saving traineddata in WebAssembly file system, not common to modify
- `cachePath` path for the cached traineddata, more useful for Node, for browser it only changes the key in IndexDB
- `cacheMethod` a string to indicate the method of cache management, should be one of the following options
- write: read cache and write back (default method)
- readOnly: read cache and not to write back
- refresh: not to read cache and write back
- none: not to read cache and not to write back
- `workerBlobURL` a boolean to define whether to use Blob URL for worker script, default: true
- `gzip` a boolean to define whether the traineddata from the remote is gzipped, default: true
- `logger` a function to log the progress, a quick example is `m => console.log(m)`
- `errorHandler` a function to handle worker errors, a quick example is `err => console.error(err)`
**Examples:**
```javascript
const { createWorker } = Tesseract;
const worker = await createWorker({
langPath: '...',
logger: m => console.log(m),
});
```
## Worker
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:
- FS functions // optional
- loadLanguage
- 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.
< a name = "worker-writeText" > < / a >
### Worker.writeText(path, text, jobId): Promise
Worker.writeText() writes a text file to the path specified in MEMFS, it is useful when you want to use some features that requires tesseract.js
to read file from file system.
**Arguments:**
- `path` text file path
- `text` content of the text file
- `jobId` Please see details above
**Examples:**
```javascript
(async () => {
await worker.writeText('tmp.txt', 'Hi\nTesseract.js\n');
})();
```
< a name = "worker-readText" > < / a >
### Worker.readText(path, jobId): Promise
Worker.readText() reads a text file to the path specified in MEMFS, it is useful when you want to check the content.
**Arguments:**
- `path` text file path
- `jobId` Please see details above
**Examples:**
```javascript
(async () => {
const { data } = await worker.readText('tmp.txt');
console.log(data);
})();
```
< a name = "worker-removeFile" > < / a >
### Worker.removeFile(path, jobId): Promise
Worker.removeFile() remove a file in MEMFS, it is useful when you want to free the memory.
**Arguments:**
- `path` file path
- `jobId` Please see details above
**Examples:**
```javascript
(async () => {
await worker.removeFile('tmp.txt');
})();
```
< a name = "worker-FS" > < / a >
### Worker.FS(method, args, jobId): Promise
Worker.FS() is a generic FS function to do anything you want, you can check [HERE ](https://emscripten.org/docs/api_reference/Filesystem-API.html ) for all functions.
**Arguments:**
- `method` method name
- `args` array of arguments to pass
- `jobId` Please see details above
**Examples:**
```javascript
(async () => {
await worker.FS('writeFile', ['tmp.txt', 'Hi\nTesseract.js\n']);
// equal to:
// await worker.writeText('tmp.txt', 'Hi\nTesseract.js\n');
})();
```
< a name = "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');
})();
```
< a name = "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');
})();
```
< a name = "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
- `jobId` Please see details above
**Useful Parameters:**
| name | type | default value | description |
| --------------------------- | ------ | ----------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| 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 if content in image is limited |
| preserve\_interword\_spaces | string | '0' | '0' or '1', keeps the space between words |
| user\_defined\_dpi | string | '' | Define custom dpi, use to fix **Warning: Invalid resolution 0 dpi. Using 70 instead.** |
This list is incomplete. As Tesseract.js passes parameters to the Tesseract engine, all parameters supported by the underlying version of Tesseract should also be supported by Tesseract.js. (Note that parameters marked as “init only” in Tesseract documentation cannot be set by `setParameters` or `recognize` .)
**Examples:**
```javascript
(async () => {
await worker.setParameters({
tessedit_char_whitelist: '0123456789',
});
})
```
< a name = "worker-recognize" > < / a >
### Worker.recognize(image, options, jobId): Promise
Worker.recognize() provides core function of Tesseract.js as it executes OCR
Figures out what words are in `image` , where the words are in `image` , etc.
> Note: `image` should be sufficiently high resolution.
> Often, the same image will get much better results if you upscale it before calling `recognize`.
**Arguments:**
- `image` see [Image Format ](./image-format.md ) for more details.
- `options` an object of customized options
- `rectangle` an object to specify the regions you want to recognized in the image, should contain top, left, width and height, see example below.
- `output` an object specifying which output formats to return (by default `text` , `blocks` , `hocr` , and `tsv` are returned)
- `jobId` Please see details above
**Output:**
**Examples:**
```javascript
const { createWorker } = Tesseract;
(async () => {
const worker = await createWorker();
await worker.loadLanguage('eng');
await worker.initialize('eng');
const { data: { text } } = await worker.recognize(image);
console.log(text);
})();
```
With rectangle
```javascript
const { createWorker } = Tesseract;
(async () => {
const worker = await createWorker();
await worker.loadLanguage('eng');
await worker.initialize('eng');
const { data: { text } } = await worker.recognize(image, {
rectangle: { top: 0, left: 0, width: 100, height: 100 },
});
console.log(text);
})();
```
< a name = "worker-detect" > < / a >
### Worker.detect(image, jobId): Promise
Worker.detect() does OSD (Orientation and Script Detection) to the image instead of OCR.
**Arguments:**
- `image` see [Image Format ](./image-format.md ) for more details.
- `jobId` Please see details above
**Examples:**
```javascript
const { createWorker } = Tesseract;
(async () => {
const worker = await createWorker();
await worker.loadLanguage('eng');
await worker.initialize('eng');
const { data } = await worker.detect(image);
console.log(data);
})();
```
< a name = "worker-terminate" > < / a >
### Worker.terminate(jobId): Promise
Worker.terminate() terminates the worker and cleans up
```javascript
(async () => {
await worker.terminate();
})();
```
< a name = "create-scheduler" > < / a >
## createScheduler(): Scheduler
createScheduler() is a factory function to create a scheduler, a scheduler manages a job queue and workers to enable multiple workers to work together, it is useful when you want to speed up your performance.
**Examples:**
```javascript
const { createScheduler } = Tesseract;
const scheduler = createScheduler();
```
### Scheduler
< a name = "scheduler-add-worker" > < / a >
### Scheduler.addWorker(worker): string
Scheduler.addWorker() adds a worker into the worker pool inside scheduler, it is suggested to add one worker to only one scheduler.
**Arguments:**
- `worker` see Worker above
**Examples:**
```javascript
const { createWorker, createScheduler } = Tesseract;
const scheduler = createScheduler();
const worker = await createWorker();
scheduler.addWorker(worker);
```
< a name = "scheduler-add-job" > < / a >
### Scheduler.addJob(action, ...payload): Promise
Scheduler.addJob() adds a job to the job queue and scheduler waits and finds an idle worker to take the job.
**Arguments:**
- `action` a string to indicate the action you want to do, right now only **recognize** and **detect** are supported
- `payload` a arbitrary number of args depending on the action you called.
**Examples:**
```javascript
(async () => {
const { data: { text } } = await scheduler.addJob('recognize', image, options);
const { data } = await scheduler.addJob('detect', image);
})();
```
< a name = "scheduler-get-queue-len" > < / a >
### Scheduler.getQueueLen(): number
Scheduler.getNumWorkers() returns the length of job queue.
< a name = "scheduler-get-num-workers" > < / a >
### Scheduler.getNumWorkers(): number
Scheduler.getNumWorkers() returns number of workers added into the scheduler
< a name = "scheduler-terminate" > < / a >
### Scheduler.terminate(): Promise
Scheduler.terminate() terminates all workers added, useful to do quick clean up.
**Examples:**
```javascript
(async () => {
await scheduler.terminate();
})();
```
< a name = "set-logging" > < / a >
## setLogging(logging: boolean)
setLogging() sets the logging flag, you can `setLogging(true)` to see detailed information, useful for debugging.
**Arguments:**
- `logging` boolean to define whether to see detailed logs, default: false
**Examples:**
```javascript
const { setLogging } = Tesseract;
setLogging(true);
```
< a name = "recognize" > < / a >
## recognize(image, langs, options): Promise
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.
See [Tesseract.js ](../src/Tesseract.js )
< a name = "detect" > < / a >
## detect(image, options): Promise
Same background as recognize(), but it does detect instead.
See [Tesseract.js ](../src/Tesseract.js )
< a name = "psm" > < / a >
## PSM
See [PSM.js ](../src/constants/PSM.js )
< a name = "oem" > < / a >
## OEM
See [OEM.js ](../src/constants/OEM.js )
