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5 Commits

  1. 25
      docs/image-format.md
  2. 4
      package-lock.json
  3. 2
      package.json
  4. 1
      src/constants/PSM.js
  5. 13
      src/index.d.ts
  6. 10
      src/worker-script/index.js

25
docs/image-format.md

@ -1,17 +1,18 @@
# Image Format # Image Format
Support Format: **bmp, jpg, png, pbm** The main Tesseract.js functions (ex. recognize, detect) take an `image` parameter. The image formats and data types supported are listed below.
The main Tesseract.js functions (ex. recognize, detect) take an `image` parameter, which should be something that is like an image. What's considered "image-like" differs depending on whether it is being run from the browser or through NodeJS. Support Image Formats: **bmp, jpg, png, pbm, webp**
On a browser, an image can be: For browser and Node, supported data types are:
- an `img` or `canvas` element - string with base64 encoded image (fits `data:image\/([a-zA-Z]*);base64,([^"]*)` regexp)
- a `File` object (from a file `<input>`) - buffer
- a `Blob` object
- a path or URL to an accessible image
- a base64 encoded image fits `data:image\/([a-zA-Z]*);base64,([^"]*)` regexp
In Node.js, an image can be For browser only, supported data types are:
- a path to a local image - `File` or `Blob` object
- a Buffer storing binary image - `img` or `canvas` element
- a base64 encoded image fits `data:image\/([a-zA-Z]*);base64,([^"]*)` regexp
For Node only, supported data types are:
- string containing a path to local image
Note: images must be a supported image format **and** a supported data type. For example, a buffer containing a png image is supported. A buffer containing raw pixel data is not supported.

4
package-lock.json generated

@ -1,12 +1,12 @@
{ {
"name": "tesseract.js", "name": "tesseract.js",
"version": "3.0.2", "version": "3.0.3",
"lockfileVersion": 2, "lockfileVersion": 2,
"requires": true, "requires": true,
"packages": { "packages": {
"": { "": {
"name": "tesseract.js", "name": "tesseract.js",
"version": "3.0.2", "version": "3.0.3",
"hasInstallScript": true, "hasInstallScript": true,
"license": "Apache-2.0", "license": "Apache-2.0",
"dependencies": { "dependencies": {

2
package.json

@ -1,6 +1,6 @@
{ {
"name": "tesseract.js", "name": "tesseract.js",
"version": "3.0.2", "version": "3.0.3",
"description": "Pure Javascript Multilingual OCR", "description": "Pure Javascript Multilingual OCR",
"main": "src/index.js", "main": "src/index.js",
"types": "src/index.d.ts", "types": "src/index.d.ts",

1
src/constants/PSM.js

@ -15,4 +15,5 @@ module.exports = {
SINGLE_CHAR: '10', SINGLE_CHAR: '10',
SPARSE_TEXT: '11', SPARSE_TEXT: '11',
SPARSE_TEXT_OSD: '12', SPARSE_TEXT_OSD: '12',
RAW_LINE: '13',
}; };

13
src/index.d.ts vendored

@ -19,8 +19,8 @@ declare namespace Tesseract {
readText(path: string, jobId?: string): Promise<ConfigResult> readText(path: string, jobId?: string): Promise<ConfigResult>
removeText(path: string, jobId?: string): Promise<ConfigResult> removeText(path: string, jobId?: string): Promise<ConfigResult>
FS(method: string, args: any[], jobId?: string): Promise<ConfigResult> FS(method: string, args: any[], jobId?: string): Promise<ConfigResult>
loadLanguage(langs?: string, jobId?: string): Promise<ConfigResult> loadLanguage(langs?: string | Lang[], jobId?: string): Promise<ConfigResult>
initialize(langs?: string, oem?: OEM, jobId?: string): Promise<ConfigResult> initialize(langs?: string | Lang[], oem?: OEM, jobId?: string): Promise<ConfigResult>
setParameters(params: Partial<WorkerParams>, jobId?: string): Promise<ConfigResult> setParameters(params: Partial<WorkerParams>, jobId?: string): Promise<ConfigResult>
recognize(image: ImageLike, options?: Partial<RecognizeOptions>, jobId?: string): Promise<RecognizeResult> recognize(image: ImageLike, options?: Partial<RecognizeOptions>, jobId?: string): Promise<RecognizeResult>
detect(image: ImageLike, jobId?: string): Promise<DetectResult> detect(image: ImageLike, jobId?: string): Promise<DetectResult>
@ -28,6 +28,11 @@ declare namespace Tesseract {
getPDF(title?: string, textonly?: boolean, jobId?: string):Promise<GetPDFResult> getPDF(title?: string, textonly?: boolean, jobId?: string):Promise<GetPDFResult>
} }
interface Lang {
code: string;
data: unknown;
}
interface WorkerOptions { interface WorkerOptions {
corePath: string corePath: string
langPath: string langPath: string
@ -84,13 +89,13 @@ declare namespace Tesseract {
width: number width: number
height: number height: number
} }
const enum OEM { enum OEM {
TESSERACT_ONLY, TESSERACT_ONLY,
LSTM_ONLY, LSTM_ONLY,
TESSERACT_LSTM_COMBINED, TESSERACT_LSTM_COMBINED,
DEFAULT, DEFAULT,
} }
const enum PSM { enum PSM {
OSD_ONLY = '0', OSD_ONLY = '0',
AUTO_OSD = '1', AUTO_OSD = '1',
AUTO_ONLY = '2', AUTO_ONLY = '2',

10
src/worker-script/index.js

@ -144,15 +144,7 @@ res) => {
res.progress({ workerId, status: 'loaded language traineddata', progress: 1 }); res.progress({ workerId, status: 'loaded language traineddata', progress: 1 });
res.resolve(langs); res.resolve(langs);
} catch (err) { } catch (err) {
if (isWebWorker && err instanceof DOMException) { res.reject(err.toString());
/*
* For some reason google chrome throw DOMException in loadLang,
* while other browser is OK, for now we ignore this exception
* and hopefully to find the root cause one day.
*/
} else {
res.reject(err.toString());
}
} }
}; };

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