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Afonso"},"license":"0BSD","homepage":"https://github.com/aadsm/jschardet#readme","keywords":["encoding","charset"],"repository":{"url":"git+https://github.com/aadsm/jschardet.git","type":"git"},"description":"[](LICENSE) [](https://nodei.co/npm/jschardet/)","maintainers":[{"name":"aadsm","email":"antonio.afonso@gmail.com"}],"readme":"# jschardet\n\n[](LICENSE) [](https://nodei.co/npm/jschardet/)\n\njschardet is a character encoding detector for JavaScript. Runs in Node.js and browsers with zero runtime dependencies.\n\njschardet 4 is a ground-up TypeScript port of [chardet 7](https://github.com/chardet/chardet). It's much faster and more accurate than jschardet 3 and keeps its API; see [Upgrading from jschardet 3](#upgrading-from-jschardet-3) for what behaves differently.\n\nThe API is `detect()` and `detectAll()`, returning `encoding`, `confidence`, `language`, and `mimeType`.\n\n## Features\n\n99.4% accuracy on 3,138 test files, up from 43.1% in jschardet 3, with ~6× the throughput and ~10× lower peak memory. Language detection for every result. MIME type detection for binary files.\n\n| | jschardet 4.0.0 | jschardet 3.1.4 | chardet 7.6.0 (Python) |\n|---|---|---|---|\n| Accuracy (3,138 files) | **99.4%** | 43.1% | 99.5% |\n| Speed | **780 files/s** | 126 files/s | 222 files/s |\n| Language detection | **93.4%** | — | 93.4% |\n| Peak memory | **85.5 MiB** | 831.8 MiB | 37.6 MiB |\n| Bundle size (min / gzip) | **1,141 / 691 KiB** | 334 / 119 KiB | — |\n| Cold start (import + first detect) | **109.2 ms** | 29.9 ms | 101.7 ms |\n| Runs in browsers | **yes** | yes | — |\n| MIME type detection | **yes** | no | yes |\n| License | **0BSD** | LGPL | 0BSD |\n\nCompared to jschardet 3, v4 has a larger bundle and a ~110 ms first-call cost. Both come from shipping a larger detection model; the model decompresses once on first `detect()` and stays in memory afterwards, so subsequent calls run at full speed.\n\nSee [docs/performance.md](docs/performance.md) for the full benchmark methodology and per-encoding accuracy.\n\n## Installation\n\n### npm\n\n```bash\nnpm install jschardet\n```\n\nBoth module systems are supported:\n\n```js\nimport { detect } from 'jschardet'; // ESM\nconst { detect } = require('jschardet'); // CommonJS\n```\n\n### Browser\n\nCopy and include [jschardet.min.js](https://github.com/aadsm/jschardet/blob/main/dist/jschardet.min.js) in your page (attaches a global `jschardet`). For ESM, use [jschardet.esm.min.js](https://github.com/aadsm/jschardet/blob/main/dist/jschardet.esm.min.js) instead. Unminified builds and source maps are in [`dist/`](https://github.com/aadsm/jschardet/tree/main/dist).\n\nThe library is also available via [jsDelivr](https://www.jsdelivr.com/package/npm/jschardet):\n\n| Format | URL |\n|--------|-----|\n| IIFE (`\n\n```\n\n**ESM** (after copying `jschardet.esm.min.js`):\n\n```html\n\n```\n\n## Quick start\n\n```js\nimport { detect, detectAll } from 'jschardet';\n\n// string — ASCII\ndetect(\"Python is a great programming language for beginners and experts alike.\")\n// { encoding: 'ascii', confidence: 1, language: 'en', mimeType: 'text/plain' }\n\n// Uint8Array — \"The naïve approach doesn't always work in complex systems.\" in UTF-8\ndetect(new TextEncoder().encode(\"The naïve approach doesn't always work in complex systems.\"))\n// { encoding: 'utf-8', confidence: 0.84, language: 'en', mimeType: 'text/plain' }\n\n// Uint8Array — \"日本語の文字コード検出テストです。\" in EUC-JP\ndetect(new Uint8Array([\n 0xc6, 0xfc, 0xcb, 0xdc, 0xb8, 0xec, 0xa4, 0xce, 0xca, 0xb8,\n 0xbb, 0xfa, 0xa5, 0xb3, 0xa1, 0xbc, 0xa5, 0xc9, 0xb8, 0xa1,\n 0xbd, 0xd0, 0xa5, 0xc6, 0xa5, 0xb9, 0xa5, 0xc8, 0xa4, 0xc7,\n 0xa4, 0xb9, 0xa1, 0xa3,\n]))\n// { encoding: 'EUC-JP', confidence: 0.56, language: 'ja', mimeType: 'text/plain' }\n\n// Buffer (Node.js) — \"Le café est une boisson très populaire en France et dans le monde entier.\" in windows-1252\nconst results = detectAll(Buffer.from([\n 76, 101, 32, 99, 97, 102, 233, 32, 101, 115, 116, 32, 117, 110, 101,\n 32, 98, 111, 105, 115, 115, 111, 110, 32, 116, 114, 232, 115, 32, 112,\n 111, 112, 117, 108, 97, 105, 114, 101, 32, 101, 110, 32, 70, 114, 97,\n 110, 99, 101, 32, 101, 116, 32, 100, 97, 110, 115, 32, 108, 101, 32,\n 109, 111, 110, 100, 101, 32, 101, 110, 116, 105, 101, 114, 46,\n]))\nfor (const r of results.slice(0, 4)) {\n console.log(r.encoding, r.confidence.toFixed(2));\n}\n// Windows-1252 0.32\n// iso8859-15 0.32\n// ISO-8859-1 0.32\n// MacRoman 0.31\n```\n\n## API\n\n### `detect(buffer, options?)`\n\nAccepts a `string`, `Uint8Array`, `ArrayBuffer`, or any `ArrayBufferView` (Node `Buffer` and `DataView` work too). Returns the best match as an object:\n\n| Field | Type | Description |\n|-------|------|-------------|\n| `encoding` | `string \\| null` | Detected encoding name, or `null` if unknown |\n| `confidence` | `number` | Score from 0.0 to 1.0 |\n| `language` | `string \\| null` | Language hint when available |\n| `mimeType` | `string \\| null` | MIME type hint when available |\n\n### `detectAll(buffer, options?)`\n\nSame input types as `detect`. Returns all candidates above the confidence threshold (default **0.20**), sorted by confidence. At least one result is always returned when the built-in threshold applies.\n\n### Options\n\n```ts\ninterface IOptionsMap {\n minimumThreshold?: number; // override default 0.20 for detectAll filtering\n detectEncodings?: string[]; // allowlist of encoding names to consider\n excludeEncodings?: string[]; // blocklist of encoding names\n}\n```\n\n### `enableDebug()`\n\nLogs full candidate lists to the console from `detect` / `detectAll` (useful when tuning thresholds or allowlists).\n\n## CLI\n\n```bash\njschardet somefile.txt\n# somefile.txt: utf-8 with confidence 1\n\njschardet --minimal somefile.txt\n# utf-8\n\n# Include detected language\njschardet -l somefile.txt\n# somefile.txt: utf-8 en (English) with confidence 1\n\n# Only consider specific encodings\njschardet -i utf-8,windows-1252 somefile.txt\n# somefile.txt: utf-8 with confidence 1\n\n# Pipe from stdin\ncat somefile.txt | jschardet\n# stdin: utf-8 with confidence 1\n```\n\n## Supported encodings\n\nSame [encodings](https://chardet.readthedocs.io/en/stable/supported-encodings.html#supported-encodings) as chardet (aliases and encoding-era filters are documented there).\n\n### Modern Web\n\nascii, big5hkscs, cp874, cp932, cp949, euc-jis-2004, euc-kr, gb18030, hz-gb-2312, iso-2022-kr, iso2022-jp-2, iso2022-jp-2004, iso2022-jp-ext, koi8-r, koi8-u, shift_jis_2004, tis-620, utf-16, utf-16-be, utf-16-le, utf-32, utf-32-be, utf-32-le, utf-7, utf-8, utf-8-sig, windows-1250, windows-1251, windows-1252, windows-1253, windows-1254, windows-1255, windows-1256, windows-1257, windows-1258\n\n### Legacy ISO\n\niso-8859-1, iso-8859-2, iso-8859-3, iso-8859-4, iso-8859-5, iso-8859-6, iso-8859-7, iso-8859-8, iso-8859-9, iso-8859-10, iso-8859-13, iso-8859-14, iso-8859-15, iso-8859-16, johab\n\n### Legacy Mac\n\nmac-cyrillic, mac-greek, mac-iceland, mac-latin2, mac-roman, mac-turkish\n\n### Legacy Regional\n\ncp1006, cp1125, cp720, hp-roman8, koi8-t, kz-1048, ptcp154\n\n### DOS\n\ncp437, cp737, cp775, cp850, cp852, cp855, cp856, cp857, cp858, cp860, cp861, cp862, cp863, cp864, cp865, cp866, cp869\n\n### Mainframe (EBCDIC)\n\ncp1026, cp1140, cp273, cp424, cp500, cp875\n\n## chardet module\n\nThe upstream chardet API is available as-is via the `chardet` named export.\nUse `UniversalDetector` for streaming detection over large files or network streams:\n\n```js\nimport { chardet } from 'jschardet';\nimport { createReadStream } from 'node:fs';\n\nconst detector = new chardet.UniversalDetector();\nfor await (const chunk of createReadStream('unknown.txt')) {\n detector.feed(chunk);\n if (detector.done) break;\n}\nconsole.log(detector.close());\n// { encoding: 'utf-8', confidence: 1, language: 'en', mimeType: 'text/plain' }\n```\n\n## Upgrading from jschardet 3\n\n`detect()`, `detectAll()`, `enableDebug()`, and the `minimumThreshold` and `detectEncodings` options keep their v3 signatures, and a string is still read as one byte per character. What changes:\n\n- **Results.** Many inputs detect differently; that is where the accuracy gain comes from. Encoding names follow chardet's spelling, e.g. `utf-8` where v3 returned `UTF-8`, so compare names case-insensitively.\n- **`detectEncodings`** accepts v3 names except four encodings v4 does not detect, which throw: `EUC-TW`, `ISO-2022-CN`, `X-ISO-10646-UCS-4-3412`, and `X-ISO-10646-UCS-4-2143`. When the list leaves out `windows-1252` and no listed encoding matches, the result is `null` and a warning is logged with `console.warn`.\n- **Confidence scale.** Correct answers often score far lower than in v3: the Big5 sample from v3's README scored 0.99 in v3 and scores 0.08 in v4. Re-tune any threshold chosen against v3 numbers.\n- **`detect()` always returns its best guess.** v3 returned `{ encoding: null, confidence: 0 }` when the best guess scored below `minimumThreshold` (default 0.20); v4's `detect()` ignores `minimumThreshold`, so check `confidence` yourself. `minimumThreshold` filters `detectAll()` instead, which v3 did not filter.\n- **Empty input** returns `utf-8` with confidence 0.1, where v3 returned `{ encoding: null, confidence: 0 }`.\n- **Result type.** Results gain `language` and `mimeType`, and `encoding` is typed `string | null` (v3: `string`), so TypeScript code under `strictNullChecks` needs a null check.\n- **`UniversalDetector`**, exported but undocumented in v3, is now `chardet.UniversalDetector` (see [chardet module](#chardet-module)). It has chardet's API: `feed()` takes a `Uint8Array` rather than a string, and the constructor takes chardet's options (`includeEncodings` rather than `detectEncodings`, no `minimumThreshold`).\n\n## License\n\n[0BSD](LICENSE), same as [chardet](https://github.com/chardet/chardet/blob/main/LICENSE).\n","readmeFilename":"README.md","users":{"dm7":true,"duxing":true,"h0ward":true,"shaomq":true,"cedware":true,"fantasy":true,"flyslow":true,"devonwen":true,"faraoman":true,"shieldax":true,"zuojiang":true,"chrisyipw":true,"jerkovicl":true,"joan12358":true,"magemagic":true,"bluelovers":true}}