diff --git a/.github/dependabot.yml b/.github/dependabot.yml index f97eba4..86a2b20 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -3,20 +3,4 @@ updates: - package-ecosystem: github-actions directory: / schedule: - interval: daily - - package-ecosystem: npm - directory: / - schedule: - interval: daily - - package-ecosystem: npm - directory: /examples/node-cli - schedule: - interval: daily - - package-ecosystem: npm - directory: /examples/node-server - schedule: - interval: daily - - package-ecosystem: npm - directory: /examples/web - schedule: - interval: daily + interval: daily \ No newline at end of file diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 0b21dce..3c68abb 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,8 +17,6 @@ jobs: run: npm ci - name: Build library run: make lib - - name: Build examples - run: make examples - name: Typecheck run: make typecheck - name: Check formatting diff --git a/examples/node-cli/.gitignore b/examples/node-cli/.gitignore deleted file mode 100644 index 33e404f..0000000 --- a/examples/node-cli/.gitignore +++ /dev/null @@ -1 +0,0 @@ -eng.traineddata diff --git a/examples/node-cli/README.md b/examples/node-cli/README.md deleted file mode 100644 index 3bb6673..0000000 --- a/examples/node-cli/README.md +++ /dev/null @@ -1,13 +0,0 @@ -# tesseract-wasm Node CLI demo - -This demo uses the low-level `OCREngine` API to synchronously perform OCR in -a command-line script. - -## Usage - -To set up the project and run OCR on `some-image.jpg`, run: - -```sh -npm install -node ocr.js some-image.jpg -``` diff --git a/examples/node-cli/ocr.js b/examples/node-cli/ocr.js deleted file mode 100644 index 997a45d..0000000 --- a/examples/node-cli/ocr.js +++ /dev/null @@ -1,62 +0,0 @@ -import { existsSync, readFileSync, writeFileSync } from "node:fs"; -import { fileURLToPath } from "node:url"; - -import { Command } from "commander"; -import fetch from "node-fetch"; -import { createOCREngine } from "tesseract-wasm"; -import { loadWasmBinary } from "tesseract-wasm/node"; -import sharp from "sharp"; - -async function loadImage(path) { - const image = await sharp(path).ensureAlpha(); - const { width, height } = await image.metadata(); - return { - data: await image.raw().toBuffer(), - width, - height, - }; -} - -/** Resolve a URL relative to the current module. */ -function resolve(path) { - return fileURLToPath(new URL(path, import.meta.url).href); -} - -const program = new Command(); -program.description("Extract text from an image"); -program.argument("file"); -program.parse(); - -// Initialize the OCR engine. In this demo we use the synchronous OCREngine -// API directly. In a server you would want to use the async OCRClient API -// instead. -const wasmBinary = await loadWasmBinary(); -const engine = await createOCREngine({ wasmBinary }); - -// Fetch the text recognition model and cache it locally, then load it into -// the OCR engine. -const modelPath = "eng.traineddata"; -if (!existsSync(modelPath)) { - process.stderr.write("Downloading text recognition model...\n"); - const modelURL = - "https://github.com/tesseract-ocr/tessdata_fast/raw/main/eng.traineddata"; - const response = await fetch(modelURL); - if (!response.ok) { - process.stderr.write(`Failed to download model from ${modelURL}`); - process.exit(1); - } - const data = await response.arrayBuffer(); - writeFileSync(modelPath, new Uint8Array(data)); -} -const model = readFileSync("eng.traineddata"); -engine.loadModel(model); - -// Load the image and perform OCR synchronously. -const image = await loadImage(program.args[0]); -engine.loadImage(image); - -const text = engine.getText((progress) => { - process.stderr.write(`\rRecognizing text (${progress}% done)...`); -}); -process.stderr.write("\n\n"); -process.stdout.write(text); diff --git a/examples/node-cli/package-lock.json b/examples/node-cli/package-lock.json deleted file mode 100644 index af29512..0000000 --- a/examples/node-cli/package-lock.json +++ /dev/null @@ -1,1327 +0,0 @@ -{ - "name": "tesseract-wasm-example-node-cli", - "version": "1.0.0", - "lockfileVersion": 2, - "requires": true, - "packages": { - "": { - "name": "tesseract-wasm-example-node-cli", - "version": "1.0.0", - "license": "BSD-2-Clause", - "dependencies": { - "commander": "^9.3.0", - "node-fetch": "^3.2.4", - "sharp": "^0.30.5", - "tesseract-wasm": "^0.10.0" - } - }, - "node_modules/ansi-regex": { - "version": "2.1.1", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz", - "integrity": "sha512-TIGnTpdo+E3+pCyAluZvtED5p5wCqLdezCyhPZzKPcxvFplEt4i+W7OONCKgeZFT3+y5NZZfOOS/Bdcanm1MYA==", - "engines": { - "node": ">=0.10.0" - } - }, - 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-This demo uses the high-level `OCRClient` API to perform OCR in HTTP requests. - -## Usage - -Install dependencies and start the server: - -```sh -npm install -node ocr-server.js -``` - -To run OCR on an image and receive the results as JSON: - -``` -curl --data-binary @some-image.jpg http://localhost:8081/ocr -``` diff --git a/examples/node-server/ocr-server.js b/examples/node-server/ocr-server.js deleted file mode 100644 index bb8626a..0000000 --- a/examples/node-server/ocr-server.js +++ /dev/null @@ -1,85 +0,0 @@ -import { readFile, writeFile } from "node:fs/promises"; -import { existsSync } from "node:fs"; -import { createServer } from "node:http"; - -import fetch from "node-fetch"; -import { createOCRClient } from "tesseract-wasm/node"; -import sharp from "sharp"; - -async function loadImage(buffer) { - const image = await sharp(buffer).ensureAlpha(); - const { width, height } = await image.metadata(); - return { - data: await image.raw().toBuffer(), - width, - height, - }; -} - -async function loadModel() { - const modelPath = "eng.traineddata"; - if (!existsSync(modelPath)) { - console.log("Downloading text recognition model..."); - const modelURL = - "https://github.com/tesseract-ocr/tessdata_fast/raw/main/eng.traineddata"; - const response = await fetch(modelURL); - if (!response.ok) { - process.stderr.write(`Failed to download model from ${modelURL}`); - process.exit(1); - } - const data = await response.arrayBuffer(); - await writeFile(modelPath, new Uint8Array(data)); - } - return readFile("eng.traineddata"); -} - -async function readRequestBody(request) { - const chunks = []; - for await (let chunk of request) { - chunks.push(chunk); - } - return Buffer.concat(chunks); -} - -console.log("Initializing server..."); - -const handleRequest = async (req, res) => { - // Start a new OCR worker. In this simple demo app we do this for every - // request. In a real application you may want to create a pool of clients - // which can be re-used across requests, to save needing to re-initialize - // the worker for each request. - const client = createOCRClient(); - - try { - const reqURL = new URL(req.url, `http://${req.headers.host}`); - if (reqURL.pathname !== "/ocr" || req.method !== "POST") { - res.end(404); - } - - // Load model concurrently with reading image. - const modelLoaded = loadModel().then((model) => client.loadModel(model)); - - const imageData = await readRequestBody(req); - const image = await loadImage(imageData); - - await modelLoaded; - await client.loadImage(image); - const text = await client.getText(); - - res.setHeader("Content-Type", "application/json"); - res.writeHead(200); - - const body = { text }; - res.end(JSON.stringify(body, null, 2)); - } catch (err) { - res.writeHead(500); - res.end(JSON.stringify({ error: err.message })); - } finally { - // Shut down the OCR worker thread. - client.destroy(); - } -}; - -const server = createServer(handleRequest); -const port = 8081; -server.listen(port, () => `Server listening at http://localhost:${port}`); diff --git a/examples/node-server/package-lock.json b/examples/node-server/package-lock.json deleted file mode 100644 index aa6b9fb..0000000 --- a/examples/node-server/package-lock.json +++ /dev/null @@ -1,1313 +0,0 @@ -{ - "name": "tesseract-wasm-example-node-server", - "version": "1.0.0", - "lockfileVersion": 2, - "requires": true, - "packages": { - "": { - "name": "tesseract-wasm-example-node-server", - "version": "1.0.0", - "license": "BSD-2-Clause", - "dependencies": { - "node-fetch": "^3.2.4", - "sharp": "^0.30.5", - "tesseract-wasm": "^0.10.0" - } - }, - "node_modules/ansi-regex": { - "version": "2.1.1", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz", - "integrity": "sha512-TIGnTpdo+E3+pCyAluZvtED5p5wCqLdezCyhPZzKPcxvFplEt4i+W7OONCKgeZFT3+y5NZZfOOS/Bdcanm1MYA==", - "engines": { - "node": ">=0.10.0" - } - }, - "node_modules/aproba": { - 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"name": "tesseract-wasm-example-node-server", - "version": "1.0.0", - "description": "This demo uses the high-level `OCRClient` API to perform OCR in HTTP requests.", - "type": "module", - "main": "ocr-server.js", - "scripts": { - "test": "echo \"Error: no test specified\" && exit 1" - }, - "author": "Robert Knight ", - "license": "BSD-2-Clause", - "dependencies": { - "node-fetch": "^3.2.4", - "sharp": "^0.30.5", - "tesseract-wasm": "^0.10.0" - } -} diff --git a/examples/web/.gitignore b/examples/web/.gitignore deleted file mode 100644 index 567609b..0000000 --- a/examples/web/.gitignore +++ /dev/null @@ -1 +0,0 @@ -build/ diff --git a/examples/web/README.md b/examples/web/README.md deleted file mode 100644 index 882f505..0000000 --- a/examples/web/README.md +++ /dev/null @@ -1,12 +0,0 @@ -# tesseract-wasm web demo app - -## How to run - -1. Install packages and start server - - ```sh - npm install - npm run serve - ``` - -2. Open http://127.0.0.1:8000/ in your browser diff --git a/examples/web/copy-static-assets.js b/examples/web/copy-static-assets.js deleted file mode 100644 index 6f6cee8..0000000 --- a/examples/web/copy-static-assets.js +++ /dev/null @@ -1,19 +0,0 @@ -import { cpSync } from "node:fs"; -import { dirname } from "node:path"; -import { fileURLToPath } from "node:url"; - -// List of files which tesseract-wasm expects to be served alongside the JS -// bundle, if using its default asset location settings. -const files = [ - "tesseract-core.wasm", // Main OCR engine module - "tesseract-core-fallback.wasm", // Slower version for browsers without SIMD support - "tesseract-worker.js", // JS entry point for the web worker -]; - -for (let file of files) { - const rootDir = dirname(fileURLToPath(import.meta.url)); - cpSync( - `${rootDir}/node_modules/tesseract-wasm/dist/${file}`, - `${rootDir}/build/${file}`, - ); -} diff --git a/examples/web/index.html b/examples/web/index.html deleted file mode 100644 index efd10c9..0000000 --- a/examples/web/index.html +++ /dev/null @@ -1,12 +0,0 @@ - - - - tesseract-wasm OCR Demo - - - - - -
- - diff --git a/examples/web/ocr-app.css b/examples/web/ocr-app.css deleted file mode 100644 index aec4fe8..0000000 --- a/examples/web/ocr-app.css +++ /dev/null @@ -1,120 +0,0 @@ -* { - box-sizing: border-box; -} - -body { - font-family: sans-serif; - - --border: 2px solid #aaa; -} - -p { - margin-top: 0; -} - -.FileDropZone { - color: #444; - display: flex; - flex-direction: column; - gap: 1rem; - align-items: center; - background-color: #ddd; - border: var(--border); - font-size: 1rem; - font-weight: bold; - height: 100px; - justify-content: center; -} - -.FileDropZone.is-hovered { - background-color: #aaa; -} - -.ProgressBar { - border: var(--border); - height: 8px; -} - -.ProgressBar__bar { - background-color: #6666ff; - height: 100%; -} - -.OCRDemoApp { - display: flex; - flex-direction: column; - align-items: stretch; - gap: 1rem; - - max-width: 800px; - margin-left: auto; - margin-right: auto; -} - -.OCRDemoApp__error { - background-color: #ff7777; - padding: 5px; -} - -.OCRDemoApp__output { - position: relative; - border: var(--border); -} - -.OCRDemoApp__doc-image { - width: 100%; -} - -.OCRDemoApp__word-boxes { - position: absolute; - left: 0; - right: 0; - top: 0; -} - -.OCRDemoApp__text { - border: var(--border); - padding: 1em; - overflow-x: scroll; -} - -.OCRWordBox { - position: relative; - border: 1px solid red; -} - -.OCRWordBox:hover { - background-color: rgba(255, 200, 200, 0.5); -} - -.OCRWordBox__content { - position: relative; - top: -25px; - z-index: 10; -} - -.OCRWordBox__text { - position: absolute; - left: 0; - top: 0; - - padding-left: 5px; - padding-right: 5px; - - background-color: #ccf; - border: 1px solid #99f; - white-space: nowrap; -} - -.OCRDemoApp__header { - display: flex; - align-items: center; -} - -.OCRDemoApp__gh-logo { - width: 64px; -} - -.u-grow { - flex-grow: 1; -} diff --git a/examples/web/ocr-app.js b/examples/web/ocr-app.js deleted file mode 100644 index ddaf013..0000000 --- a/examples/web/ocr-app.js +++ /dev/null @@ -1,325 +0,0 @@ -import classnames from "classnames"; -import * as React from "react"; -import { useEffect, useRef, useState } from "react"; -import { createRoot } from "react-dom/client"; - -import { OCRClient } from "tesseract-wasm"; - -function fileFromDropEvent(event) { - if (!event.dataTransfer) { - return null; - } - for (let i = 0; i < event.dataTransfer.items.length; i++) { - const item = event.dataTransfer.items[i]; - const file = item.getAsFile(); - if (file) { - return file; - } - } - return null; -} - -function FileDropZone({ onDrop }) { - const [dragHover, setDragHover] = useState(false); - - return ( -
{ - setDragHover(false); - }} - onDragOver={(e) => { - e.preventDefault(); - setDragHover(true); - }} - onDrop={(e) => { - e.preventDefault(); - setDragHover(false); - - const file = fileFromDropEvent(e); - if (file) { - onDrop(file); - } - }} - > - Drop an image here to OCR it -
- { - const files = e.target.files; - if (!files.length) { - return; - } - onDrop(files.item(0)); - }} - /> -
-
- ); -} - -function ProgressBar({ value }) { - return ( -
-
-
- ); -} - -function OCRWordBox({ box, imageWidth, imageHeight }) { - const [hover, setHover] = useState(false); - - const toPercent = (val) => `${val * 100}%`; - const left = toPercent(box.rect.left / imageWidth); - const width = toPercent((box.rect.right - box.rect.left) / imageWidth); - const top = toPercent(box.rect.top / imageHeight); - const height = toPercent((box.rect.bottom - box.rect.top) / imageHeight); - - return ( -
setHover(true)} - onMouseLeave={() => setHover(false)} - title={box.text} - > - {hover && ( -
-
- {box.text} ({box.confidence.toFixed(2)}) -
-
- )} -
- ); -} - -function isNormalOrientation(orientation) { - return orientation.confidence > 0 && orientation.rotation === 0; -} - -function formatOrientation(orientation) { - if (orientation.confidence === 0) { - return "Unknown"; - } - return `${orientation.rotation}°`; -} - -function OCRDemoApp() { - const ocrClient = useRef(null); - const [documentImage, setDocumentImage] = useState(null); - const [documentText, setDocumentText] = useState(null); - const [error, setError] = useState(null); - const [ocrProgress, setOCRProgress] = useState(null); - const [status, setStatus] = useState(null); - const [wordBoxes, setWordBoxes] = useState([]); - const [orientation, setOrientation] = useState(null); - const [ocrTime, setOCRTime] = useState(null); - const [outputFormat, setOutputFormat] = useState("text"); - - const canvasRef = useRef(null); - - useEffect(() => { - if (!documentImage) { - return; - } - - setError(null); - setWordBoxes(null); - setOrientation(null); - setOCRTime(null); - - // Set progress to `0` rather than `null` here to show the progress bar - // immediately after an image is selected. - setOCRProgress(0); - - const context = canvasRef.current.getContext("2d"); - context.drawImage(documentImage, 0, 0); - - let cancelled = false; - - const doOCR = async () => { - if (!ocrClient.current) { - // Initialize the OCR engine when recognition is performed for the first - // time. - ocrClient.current = new OCRClient(); - - // Fetch OCR model. This demo fetches the model directly from GitHub, - // but in production you should serve it yourself and make sure HTTP - // compression and caching are applied to reduce loading time. - setStatus("Fetching text recognition model"); - await ocrClient.current.loadModel( - "https://raw.githubusercontent.com/tesseract-ocr/tessdata_fast/main/eng.traineddata", - ); - } - const ocr = ocrClient.current; - const startTime = performance.now(); - - try { - setStatus("Loading image"); - await ocr.loadImage(documentImage); - if (cancelled) { - return; - } - - const orientation = await ocr.getOrientation(); - setOrientation(orientation); - - // Perform OCR and display progress. - setStatus("Recognizing text"); - let boxes = await ocr.getTextBoxes("word", setOCRProgress); - boxes = boxes.filter((box) => box.text.trim() !== ""); - - if (cancelled) { - return; - } - setWordBoxes(boxes); - - const endTime = performance.now(); - setOCRTime(Math.round(endTime - startTime)); - - // Get the text as a single string. This will be quick since OCR has - // already been performed. - let text; - switch (outputFormat) { - case "hocr": - text = await ocr.getHOCR(); - break; - case "text": - text = await ocr.getText(); - break; - } - - if (cancelled) { - return; - } - setDocumentText(text); - } catch (err) { - setError(err); - } finally { - setOCRProgress(null); - setStatus(null); - } - }; - doOCR(); - - return () => { - cancelled = true; - }; - }, [documentImage, outputFormat]); - - const loadImage = async (file) => { - try { - const image = await createImageBitmap(file); - setDocumentImage(image); - } catch { - setError(new Error("Could not read document image")); - } - }; - - return ( -
-
-

tesseract-wasm

-
- - - -
-

- A WebAssembly build of the{" "} - Tesseract OCR - engine for use in the browser and Node. It detects and recognizes text - in document images. -

-

- This build has been optimized for modern browsers by using{" "} - WebAssembly SIMD (where - available) to speed up the neural network used for text recognition. - Code which duplicates browser functionality (eg. parsing of various - image formats) has been stripped out to reduce download size. -

-

- See the{" "} - - project README - {" "} - for usage instructions and examples. Choose an image in the picker below - to see it in action. Note that Tesseract is designed to work with - reasonably clean document images/photos rather than scenes containing - text. For advice on improving recognition, see the{" "} - Tesseract User Manual. -

- {error && ( -
- Error: {error.message} -
- )} - -
- - -
- {status !== null &&
{status}…
} - {ocrTime !== null && ( -
- Found {wordBoxes.length} words in {ocrTime}ms -
- )} - {ocrProgress !== null && } - {orientation !== null && - !isNormalOrientation(orientation) && - `Orientation: ${formatOrientation(orientation)}`} - {documentImage && ( -
- - {wordBoxes && ( -
- // based on its `width` and `height` properties. For the word - // box layer we must provide it ourselves. - // - // This requires a modern browser (>= Sept 2021). In older browsers - // you could use JS or a padding hack (https://css-tricks.com/aspect-ratio-boxes/). - aspectRatio: `auto ${documentImage.width}/${documentImage.height}`, - }} - > - {wordBoxes.map((box, index) => ( - - ))} -
- )} -
- )} - {documentText && 
{documentText}
} -
- ); -} - -const container = document.getElementById("app"); -const root = createRoot(container); -root.render(); diff --git a/examples/web/package-lock.json b/examples/web/package-lock.json deleted file mode 100644 index ebbaf04..0000000 --- a/examples/web/package-lock.json +++ /dev/null @@ -1,682 +0,0 @@ -{ - "name": "tesseract-wasm-example-web", - "version": "1.0.0", - "lockfileVersion": 2, - "requires": true, - "packages": { - "": { - "name": "tesseract-wasm-example-web", - "version": "1.0.0", - "license": "BSD-2-Clause", - "devDependencies": { - "classnames": "^2.3.1", - "esbuild": "^0.14.41", - "react": "^18.1.0", - "react-dom": "^18.1.0", - "tesseract-wasm": "^0.10.0" - } - }, - "node_modules/classnames": { - "version": "2.3.1", - "resolved": "https://registry.npmjs.org/classnames/-/classnames-2.3.1.tgz", - "integrity": "sha512-OlQdbZ7gLfGarSqxesMesDa5uz7KFbID8Kpq/SxIoNGDqY8lSYs0D+hhtBXhcdB3rcbXArFr7vlHheLk1voeNA==", - "dev": true - }, - "node_modules/comlink": { - "version": "4.3.1", - 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"name": "tesseract-wasm-example-web", - "version": "1.0.0", - "description": "Demo app for tesseract-wasm", - "main": "ocr-app.js", - "type": "module", - "scripts": { - "build": "node copy-static-assets.js && esbuild ocr-app.js --target=es2020 --format=esm --minify --loader:.js=jsx --bundle --outfile=build/ocr-app.bundle.js", - "serve": "node copy-static-assets.js && esbuild ocr-app.js --target=es2020 --format=esm --loader:.js=jsx --bundle --servedir=. --outfile=build/ocr-app.bundle.js" - }, - "repository": { - "type": "git", - "url": "git+https://github.com/robertknight/tesseract-wasm.git" - }, - "author": "Robert Knight ", - "license": "BSD-2-Clause", - "bugs": { - "url": "https://github.com/robertknight/tesseract-wasm/issues" - }, - "homepage": "https://github.com/robertknight/tesseract-wasm#readme", - "devDependencies": { - "classnames": "^2.3.1", - "esbuild": "^0.14.41", - "react": "^18.1.0", - "react-dom": "^18.1.0", - "tesseract-wasm": "^0.10.0" - } -} diff --git a/package.json b/package.json index a3c7a9f..3cc3489 100644 --- a/package.json +++ b/package.json @@ -33,9 +33,6 @@ "typedoc": "0.25.13", "typescript": "5.4.5" }, - "dependencies": { - "comlink": "^4.4.1" - }, "types": "dist/index.d.ts", "files": [ "dist/*", diff --git a/rollup.config.js b/rollup.config.js index cf52d09..230b515 100644 --- a/rollup.config.js +++ b/rollup.config.js @@ -2,21 +2,6 @@ import nodeResolve from "@rollup/plugin-node-resolve"; import typescript from "@rollup/plugin-typescript"; export default [ - { - input: "src/worker.ts", - output: { - dir: "dist", - entryFileNames: "tesseract-worker.js", - - // nb. Compiled as a classic script because Firefox and Safari < 15 do - // not support module workers. See https://caniuse.com/mdn-api_worker_worker_ecmascript_modules. - format: "umd", - }, - plugins: [ - typescript(), - nodeResolve(), - ], - }, { input: "src/index.ts", output: { @@ -29,5 +14,4 @@ export default [ nodeResolve(), ], }, - ]; diff --git a/src/index.ts b/src/index.ts index ad3d3ab..a63b690 100644 --- a/src/index.ts +++ b/src/index.ts @@ -1,7 +1,3 @@ -export { OCRClient } from "./ocr-client"; - -export type { OCRClientInit } from "./ocr-client"; - export { createOCREngine, layoutFlags, supportsFastBuild } from "./ocr-engine"; export type { diff --git a/src/node-worker.js b/src/node-worker.js deleted file mode 100644 index 25c4862..0000000 --- a/src/node-worker.js +++ /dev/null @@ -1,55 +0,0 @@ -import { readFile } from "node:fs/promises"; -import { fileURLToPath } from "node:url"; -import { Worker, isMainThread, parentPort } from "node:worker_threads"; - -import { expose, proxy } from "comlink"; - -// @ts-ignore -import nodeEndpoint from "comlink/dist/esm/node-adapter.mjs"; - -import { createOCREngine, OCRClient } from "../dist/lib.js"; - -/** - * Resolve a path against the location of the current module. - * - * @param {string} path - */ -export function resolve(path, moduleURL = import.meta.url) { - return fileURLToPath(new URL(path, moduleURL).href); -} - -/** - * Load the compiled WebAssembly binary from the tesseract-wasm package. - */ -export function loadWasmBinary() { - return readFile(resolve("../dist/tesseract-core.wasm")); -} - -/** - * Create an async OCRClient that runs Tesseract in a Node worker thread. - */ -export function createOCRClient(options = {}) { - return new OCRClient({ - createWorker: (url) => new Worker(new URL(url)), - workerURL: new URL(import.meta.url).href, - ...options, - }); -} - -if (!isMainThread) { - const workerAPI = { - /** - * @param {object} options - * @param {Uint8Array|ArrayBuffer} [options.wasmBinary] - * @param {MessagePort} [progressChannel] - */ - createOCREngine: async ({ wasmBinary }, progressChannel) => { - if (!wasmBinary) { - wasmBinary = await loadWasmBinary(); - } - const engine = await createOCREngine({ wasmBinary, progressChannel }); - return proxy(engine); - }, - }; - expose(workerAPI, nodeEndpoint(parentPort)); -} diff --git a/src/ocr-client.ts b/src/ocr-client.ts deleted file mode 100644 index 3c5d96d..0000000 --- a/src/ocr-client.ts +++ /dev/null @@ -1,263 +0,0 @@ -import * as comlink from "comlink"; - -import type { - BoxItem, - Orientation, - ProgressListener, - TextItem, - TextUnit, -} from "./ocr-engine"; - -// Although this import is Node-specific, it is tiny and doesn't import any -// Node libs, so can be included in a bundle that runs in non-Node environments. -// -// @ts-ignore -import nodeEndpoint from "comlink/dist/esm/node-adapter.mjs"; - -import { imageDataFromBitmap } from "./utils"; - -function defaultWorkerURL() { - return new URL("./tesseract-worker.js", import.meta.url).href; -} - -function createWebWorker(url: string) { - return new Worker(url); -} - -export type OCRClientInit = { - /** - * Callback that creates the worker. The default implementation creates a Web Worker. - */ - createWorker?: (url: string) => Worker; - - /** - * WebAssembly binary to load in worker. If not set, it is loaded from the - * default location relative to the current script. - */ - wasmBinary?: Uint8Array | ArrayBuffer; - - /** - * Location of worker script/module. If not set, it is loaded from the default location relative to the - * current script. - */ - workerURL?: string; -}; - -/** - * High-level async API for performing document image layout analysis and - * OCR. - * - * In the browser, this class can be constructed directly. In Node, use the - * `createOCRClient` helper from `node-worker.js`. - */ -export class OCRClient { - private _worker: Worker; - private _progressListeners: ProgressListener[]; - private _progressChannel: MessagePort; - private _ocrEngine: any; - - /** - * Initialize an OCR engine. - * - * This will start a Worker in which the OCR operations will actually be - * performed. - * - */ - constructor({ - createWorker = createWebWorker, - wasmBinary, - workerURL = defaultWorkerURL(), - }: OCRClientInit = {}) { - const worker = createWorker(workerURL); - this._worker = worker; - - this._progressListeners = [] as ProgressListener[]; - - const endpoint = - "addEventListener" in worker ? worker : nodeEndpoint(worker); - const remote = comlink.wrap(endpoint); - - // Create a channel for the worker to send us progress updates during - // operations. We use a separate channel instead of following comlink's - // recommended recipe for callback arguments for two reasons: - // - // 1. If using `comlink.proxy(callback)`, event listeners get added to the - // MessagePort each time the callback is invoked and removed when the - // MessagePort receives a "message" response. If the callback is triggered - // many times in one event loop turn, this will trigger warnings from - // Node about having too many listeners. It is also quite inefficient. - // - // 2. Firefox has an issue where messages sent on a newly received port are - // not dispatched until the next event loop turn. This means that we - // need to send the port to the worker ahead of time. - // I think https://bugzilla.mozilla.org/show_bug.cgi?id=1752287 is - // relevant. - const { port1, port2 } = new MessageChannel(); - this._progressChannel = port1; - this._progressChannel.onmessage = (e) => { - // We ought to have some mechanism to dispatch an update only to - // applicable listeners. In typical usage there will only be one expensive - // operation happening at a time for an OCRClient instance (OCR of the - // currently loaded image), so we can get away with just notifying all - // registered listeners. - const { progress } = e.data; - for (let listener of this._progressListeners) { - listener(progress); - } - }; - - this._ocrEngine = (remote as any).createOCREngine( - { - wasmBinary, - }, - comlink.transfer(port2, [port2]) - ); - } - - async destroy() { - this._worker.terminate(); - this._progressChannel.close(); - } - - /** - * Load a trained model for a specific language. This can be specified either - * as a URL to fetch or a buffer containing an already-loaded model. - */ - async loadModel(model: string | ArrayBuffer): Promise { - const engine = await this._ocrEngine; - if (typeof model === "string") { - const response = await fetch(model); - model = await response.arrayBuffer(); - } - return engine.loadModel(model); - } - - /** - * Load an image into the OCR engine for processing. - */ - async loadImage(image: ImageBitmap | ImageData): Promise { - // Convert ImageBitmap to ImageData. In browsers that don't support - // OffscreenCanvas (Firefox and Safari as of 2022-06) we have to do this - // on the main thread using a canvas. In Chrome, we still do this on the - // main thread but using OffscreenCanvas, to work around an issue with - // rotation information being lost. See - // https://bugs.chromium.org/p/chromium/issues/detail?id=1332947. - if (typeof ImageBitmap !== "undefined" && image instanceof ImageBitmap) { - image = imageDataFromBitmap(image); - } - const engine = await this._ocrEngine; - return engine.loadImage(image); - } - - /** - * Clear the current image and text recognition results. - * - * This will clear the loaded image data internally, but keep the text - * recognition model loaded. - * - * At present there is no way to shrink WebAssembly memory, so this will not - * return the memory used by the image to the OS/browser. To release memory, - * the web worker needs to be shut down via {@link destroy}. - */ - async clearImage(): Promise { - const engine = await this._ocrEngine; - return engine.clearImage(); - } - - /** - * Perform layout analysis on the current image, if not already done, and - * return bounding boxes for a given unit of text. - * - * This operation is relatively cheap compared to text recognition, so can - * provide much faster results if only the location of lines/words etc. on - * the page is required, not the text content. - */ - async getBoundingBoxes(unit: TextUnit): Promise { - const engine = await this._ocrEngine; - return engine.getBoundingBoxes(unit); - } - - /** - * Perform layout analysis and text recognition on the current image, if - * not already done, and return bounding boxes and text content for a given - * unit of text. - */ - async getTextBoxes( - unit: TextUnit, - onProgress?: ProgressListener - ): Promise { - const engine = await this._ocrEngine; - - if (onProgress) { - this._addProgressListener(onProgress); - } - try { - return await engine.getTextBoxes(unit); - } finally { - if (onProgress) { - this._removeProgressListener(onProgress); - } - } - } - - /** - * Perform layout analysis and text recognition on the current image, if - * not already done, and return the image's text as a string. - */ - async getText(onProgress?: ProgressListener): Promise { - const engine = await this._ocrEngine; - if (onProgress) { - this._addProgressListener(onProgress); - } - try { - return await engine.getText(); - } finally { - if (onProgress) { - this._removeProgressListener(onProgress); - } - } - } - - /** - * Perform layout analysis and text recognition on the current image, if - * not already done, and return the image's text in hOCR format (see - * https://en.wikipedia.org/wiki/HOCR). - */ - async getHOCR(onProgress?: ProgressListener): Promise { - const engine = await this._ocrEngine; - if (onProgress) { - this._addProgressListener(onProgress); - } - try { - return await engine.getHOCR(); - } finally { - if (onProgress) { - this._removeProgressListener(onProgress); - } - } - } - - /** - * Attempt to determine the orientation of the image. - * - * This currently uses a simplistic algorithm [1] which is designed for - * non-uppercase Latin text. It will likely perform badly for other scripts or - * if the text is all uppercase. - * - * [1] See http://www.leptonica.org/papers/skew-measurement.pdf - */ - async getOrientation(): Promise { - const engine = await this._ocrEngine; - return engine.getOrientation(); - } - - private _addProgressListener(listener: ProgressListener) { - this._progressListeners.push(listener); - } - - private _removeProgressListener(listener: ProgressListener) { - this._progressListeners = this._progressListeners.filter( - (l) => l !== listener - ); - } -} diff --git a/src/worker.ts b/src/worker.ts deleted file mode 100644 index 7f73439..0000000 --- a/src/worker.ts +++ /dev/null @@ -1,22 +0,0 @@ -import { expose, proxy } from "comlink"; - -import { createOCREngine } from "./ocr-engine"; - -type CreateOCREngineOptions = { - wasmBinary?: Uint8Array | ArrayBuffer; -}; - -const workerAPI = { - /** - * @param progressChannel - Channel to send progress updates over. This is - * sent separately from the options argument to enable comlink to transfer it. - */ - createOCREngine: async ( - { wasmBinary }: CreateOCREngineOptions, - progressChannel?: MessagePort - ) => { - const engine = await createOCREngine({ wasmBinary, progressChannel }); - return proxy(engine); - }, -}; -expose(workerAPI); diff --git a/test/ocr-client-test.js b/test/ocr-client-test.js deleted file mode 100644 index a6b3af5..0000000 --- a/test/ocr-client-test.js +++ /dev/null @@ -1,159 +0,0 @@ -import { readFile } from "node:fs/promises"; - -import { assert } from "chai"; - -import { createOCRClient } from "../src/node-worker.js"; -import { loadImage, resolve } from "./util.js"; - -async function createClient() { - const ocr = createOCRClient(); - const model = await readFile( - resolve("../third_party/tessdata_fast/eng.traineddata"), - ); - await ocr.loadModel(model); - return ocr; -} - -describe("OCRClient", () => { - let ocr; - - before(async () => { - ocr = await createClient(); - }); - - after(() => { - ocr.destroy(); - }); - - it("extracts bounding boxes from image", async function () { - this.timeout(2_000); - - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - - const boxes = await ocr.getBoundingBoxes("word"); - assert.equal(boxes.length, 153); - for (let box of boxes) { - const { rect } = box; - - assert.isNumber(rect.left); - assert.isNumber(rect.right); - assert.isNumber(rect.top); - assert.isNumber(rect.bottom); - - assert.isTrue(rect.left >= 0 && rect.left <= imageData.width); - assert.isTrue(rect.right >= 0 && rect.right <= imageData.width); - assert.isTrue(rect.right > rect.left); - - assert.isTrue(rect.top >= 0 && rect.top <= imageData.height); - assert.isTrue(rect.bottom >= 0 && rect.bottom <= imageData.height); - assert.isTrue(rect.bottom > rect.top); - } - }); - - it("extracts text boxes from image", async function () { - this.timeout(5_000); - - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - - const textBoxes = await ocr.getTextBoxes("word"); - const text = textBoxes.map((word) => word.text).join(" "); - - const expectedPhrases = [ - "Image Thresholding for Optical Character Recognition and Other Applications Requiring Character Image Extraction", - "This thresholding is a critical step", - ]; - - for (let phrase of expectedPhrases) { - assert.include(text, phrase); - } - }); - - it("extracts text from image", async function () { - this.timeout(5_000); - - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - - const text = await ocr.getText(); - - const expectedPhrases = [ - "Image Thresholding for Optical Character Recognition and\nOther Applications Requiring Character Image Extraction", - "This thresholding is a critical step", - ]; - - for (let phrase of expectedPhrases) { - assert.include(text, phrase); - } - }); - - it("extracts hOCR from image", async function () { - this.timeout(5_000); - - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - - const html = await ocr.getHOCR(); - - // Expected output snippets, covering different kinds of entity (word, line, page). - const expectedPhrases = [ - "class='ocr_page' id='page_1'", - "Image", - ``, - ]; - - for (let phrase of expectedPhrases) { - assert.include(html, phrase); - } - }); - - it("reports recognition progress", async function () { - this.timeout(5_000); - - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - - const progressSteps = []; - const text = await ocr.getText((progress) => { - progressSteps.push(progress); - }); - - assert.isAbove(progressSteps.length, 0); - for (let [i, progress] in progressSteps.entries()) { - assert.isAboveOrEqual(progess, 0); - assert.isBelowOrEqual(progress, 100); - if (i > 0) { - assert.isAbove(progress, progressSteps[i - 1]); - } - } - }); - - // Test orientation detection method returns a result. Detailed tests for - // different orientations are handled in the OCREngine tests. - it("can determine image orientation", async () => { - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - const orient = await ocr.getOrientation(); - assert.equal(orient.rotation, 0); - assert.equal(orient.confidence, 1.0); - }); - - it("clears the image", async () => { - const imageData = await loadImage(resolve("./small-test-page.jpg")); - await ocr.loadImage(imageData); - await ocr.getBoundingBoxes("word"); - - await ocr.clearImage(); - - let error; - try { - await ocr.getBoundingBoxes("word"); - } catch (e) { - error = e; - } - - assert.instanceOf(error, Error); - assert.equal(error.message, "No image loaded"); - }); -});