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AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI API, which supports async and real-time transcription, as well as the latest LeMUR models.","maintainers":[{"name":"robot-assemblyai","email":"npmjs@assemblyai.com"},{"name":"marcusolsson","email":"npm.pension488@passmail.net"}],"readme":"<img src=\"https://github.com/AssemblyAI/assemblyai-node-sdk/blob/main/assemblyai.png?raw=true\" width=\"500\"/>\n\n---\n\n[![npm](https://img.shields.io/npm/v/assemblyai)](https://www.npmjs.com/package/assemblyai)\n[![Test](https://github.com/AssemblyAI/assemblyai-node-sdk/actions/workflows/test.yml/badge.svg)](https://github.com/AssemblyAI/assemblyai-node-sdk/actions/workflows/test.yml)\n[![GitHub License](https://img.shields.io/github/license/AssemblyAI/assemblyai-node-sdk)](https://github.com/AssemblyAI/assemblyai-node-sdk/blob/main/LICENSE)\n[![AssemblyAI Twitter](https://img.shields.io/twitter/follow/AssemblyAI?label=%40AssemblyAI&style=social)](https://twitter.com/AssemblyAI)\n[![AssemblyAI YouTube](https://img.shields.io/youtube/channel/subscribers/UCtatfZMf-8EkIwASXM4ts0A)](https://www.youtube.com/@AssemblyAI)\n[![Discord](https://img.shields.io/discord/875120158014853141?logo=discord&label=Discord&link=https%3A%2F%2Fdiscord.com%2Fchannels%2F875120158014853141&style=social)\n](https://assembly.ai/discord)\n\n# AssemblyAI JavaScript SDK\n\nThe AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI API,\nwhich supports async and streaming transcription, as well as the latest LeMUR models.\nIt is written primarily for Node.js in TypeScript with all types exported, but also [compatible with other runtimes](./docs/compat.md).\n\n## Documentation\n\nVisit the [AssemblyAI documentation](https://www.assemblyai.com/docs) for step-by-step instructions and a lot more details about our AI models and API.\nExplore the [SDK API reference](https://assemblyai.github.io/assemblyai-node-sdk/) for more details on the SDK types, functions, and classes.\n\n## Quickstart\n\nInstall the AssemblyAI SDK using your preferred package manager:\n\n```bash\nnpm install assemblyai\n```\n\n```bash\nyarn add assemblyai\n```\n\n```bash\npnpm add assemblyai\n```\n\n```bash\nbun add assemblyai\n```\n\nThen, import the `assemblyai` module and create an AssemblyAI object with your API key:\n\n```js\nimport { AssemblyAI } from \"assemblyai\";\n\nconst client = new AssemblyAI({\n  apiKey: process.env.ASSEMBLYAI_API_KEY,\n});\n```\n\nYou can now use the `client` object to interact with the AssemblyAI API.\n\n### Using a CDN\n\nYou can use automatic CDNs like [UNPKG](https://unpkg.com/) to load the library from a script tag.\n\n- Replace `:version` with the desired version or `latest`.\n- Remove `.min` to load the non-minified version.\n- Remove `.streaming` to load the entire SDK. Keep `.streaming` to load the Streaming STT specific version.\n\n```html\n<!-- Unminified full SDK -->\n<script src=\"https://www.unpkg.com/assemblyai@:version/dist/assemblyai.umd.js\"></script>\n<!-- Minified full SDK -->\n<script src=\"https://www.unpkg.com/assemblyai@:version/dist/assemblyai.umd.min.js\"></script>\n<!-- Unminified Streaming STT only -->\n<script src=\"https://www.unpkg.com/assemblyai@:version/dist/assemblyai.streaming.umd.js\"></script>\n<!-- Minified Streaming STT only -->\n<script src=\"https://www.unpkg.com/assemblyai@:version/dist/assemblyai.streaming.umd.min.js\"></script>\n```\n\nThe script creates a global `assemblyai` variable containing all the services.\nHere's how you create a `StreamingTranscriber` object.\n\n```js\nconst { StreamingTranscriber } = assemblyai;\nconst transcriber = new StreamingTranscriber({\n  token: \"[GENERATE TEMPORARY AUTH TOKEN IN YOUR API]\",\n  ...\n});\n```\n\nFor type support in your IDE, see [Reference types from JavaScript](./docs/reference-types-from-js.md).\n\n## Speech-To-Text\n\n### Transcribe audio and video files\n\n<details open>\n  <summary>Transcribe an audio file with a public URL</summary>\n\nWhen you create a transcript, you can either pass in a URL to an audio file or upload a file directly.\n\n```js\n// Transcribe file at remote URL\nlet transcript = await client.transcripts.transcribe({\n  audio: \"https://assembly.ai/espn.m4a\",\n});\n```\n\n> [!NOTE]\n> You can also pass a local file path, a stream, or a buffer as the `audio` property.\n\n`transcribe` queues a transcription job and polls it until the `status` is `completed` or `error`.\n\nIf you don't want to wait until the transcript is ready, you can use `submit`:\n\n```js\nlet transcript = await client.transcripts.submit({\n  audio: \"https://assembly.ai/espn.m4a\",\n});\n```\n\n</details>\n\n<details>\n  <summary>Transcribe a local audio file</summary>\n\nWhen you create a transcript, you can either pass in a URL to an audio file or upload a file directly.\n\n```js\n// Upload a file via local path and transcribe\nlet transcript = await client.transcripts.transcribe({\n  audio: \"./news.mp4\",\n});\n```\n\n> **Note:**\n> You can also pass a file URL, a stream, or a buffer as the `audio` property.\n\n`transcribe` queues a transcription job and polls it until the `status` is `completed` or `error`.\n\nIf you don't want to wait until the transcript is ready, you can use `submit`:\n\n```js\nlet transcript = await client.transcripts.submit({\n  audio: \"./news.mp4\",\n});\n```\n\n</details>\n\n<details>\n  <summary>Enable additional AI models</summary>\n\nYou can extract even more insights from the audio by enabling any of our [AI models](https://www.assemblyai.com/docs/audio-intelligence) using _transcription options_.\nFor example, here's how to enable [Speaker diarization](https://www.assemblyai.com/docs/speech-to-text/speaker-diarization) model to detect who said what.\n\n```js\nlet transcript = await client.transcripts.transcribe({\n  audio: \"https://assembly.ai/espn.m4a\",\n  speaker_labels: true,\n});\nfor (let utterance of transcript.utterances) {\n  console.log(`Speaker ${utterance.speaker}: ${utterance.text}`);\n}\n```\n\n</details>\n\n<details>\n  <summary>Get a transcript</summary>\n\nThis will return the transcript object in its current state. If the transcript is still processing, the `status` field will be `queued` or `processing`. Once the transcript is complete, the `status` field will be `completed`.\n\n```js\nconst transcript = await client.transcripts.get(transcript.id);\n```\n\nIf you created a transcript using `.submit()`, you can still poll until the transcript `status` is `completed` or `error` using `.waitUntilReady()`:\n\n```js\nconst transcript = await client.transcripts.waitUntilReady(transcript.id, {\n  // How frequently the transcript is polled in ms. Defaults to 3000.\n  pollingInterval: 1000,\n  // How long to wait in ms until the \"Polling timeout\" error is thrown. Defaults to infinite (-1).\n  pollingTimeout: 5000,\n});\n```\n\n</details>\n<details>\n  <summary>Get sentences and paragraphs</summary>\n\n```js\nconst sentences = await client.transcripts.sentences(transcript.id);\nconst paragraphs = await client.transcripts.paragraphs(transcript.id);\n```\n\n</details>\n\n<details>\n  <summary>Get subtitles</summary>\n\n```js\nconst charsPerCaption = 32;\nlet srt = await client.transcripts.subtitles(transcript.id, \"srt\");\nsrt = await client.transcripts.subtitles(transcript.id, \"srt\", charsPerCaption);\n\nlet vtt = await client.transcripts.subtitles(transcript.id, \"vtt\");\nvtt = await client.transcripts.subtitles(transcript.id, \"vtt\", charsPerCaption);\n```\n\n</details>\n<details>\n  <summary>List transcripts</summary>\n\nThis will return a page of transcripts you created.\n\n```js\nconst page = await client.transcripts.list();\n```\n\nYou can also paginate over all pages.\n\n```typescript\nlet previousPageUrl: string | null = null;\ndo {\n  const page = await client.transcripts.list(previousPageUrl);\n  previousPageUrl = page.page_details.prev_url;\n} while (previousPageUrl !== null);\n```\n\n> [!NOTE]\n> To paginate over all pages, you need to use the `page.page_details.prev_url`\n> because the transcripts are returned in descending order by creation date and time.\n> The first page is are the most recent transcript, and each \"previous\" page are older transcripts.\n\n</details>\n\n<details>\n<summary>Delete a transcript</summary>\n\n```js\nconst res = await client.transcripts.delete(transcript.id);\n```\n\n</details>\n\n### Transcribe in real-time\n\nCreate the streaming transcriber.\n\n```typescript\nconst rt = client.streaming.transcriber();\n```\n\nYou can also pass in the following options.\n\n```typescript\nconst rt = client.streaming.transcriber({\n  apiKey: process.env.ASSEMBLYAI_API_KEY // The API key passed to `AssemblyAI` will be used by default,\n  sampleRate: 16_000,\n});\n```\n\n> [!WARNING]\n> Storing your API key in client-facing applications exposes your API key.\n> Generate a temporary auth token on the server and pass it to your client.\n> _Server code_:\n>\n> ```typescript\n> const token = await client.streaming.createTemporaryToken({\n>   expires_in_seconds = 60,\n> });\n> // TODO: return token to client\n> ```\n>\n> _Client code_:\n>\n> ```typescript\n> import { StreamingTranscriber } from \"assemblyai\";\n> // TODO: implement getToken to retrieve token from server\n> const token = await getToken();\n> const rt = new StreamingTranscriber({\n>   token,\n> });\n> ```\n\nYou can configure the following events.\n\n<!-- prettier-ignore -->\n```typescript\nrt.on(\"open\", ({ id, expires_at }) => console.log('Session ID:', id, 'Expires at:', expires_at));\nrt.on(\"close\", (code: number, reason: string) => console.log('Closed', code, reason));\nrt.on(\"turn\", ({ transcript }) => console.log('Transcript:', transcript));\nrt.on(\"error\", (error: Error) => console.error('Error', error));\n```\n\nAfter configuring your events, connect to the server.\n\n```typescript\nawait rt.connect();\n```\n\nSend audio data via chunks.\n\n```typescript\n// Pseudo code for getting audio\ngetAudio((chunk) => {\n  rt.sendAudio(chunk);\n});\n```\n\nOr send audio data via a stream:\n\n```typescript\naudioStream.pipeTo(rt.stream());\n```\n\nClose the connection when you're finished.\n\n```typescript\nawait rt.close();\n```\n\n## Apply LLMs to your audio with LeMUR\n\nCall [LeMUR endpoints](https://www.assemblyai.com/docs/api-reference/lemur) to apply LLMs to your transcript.\n\n<details open>\n<summary>Prompt your audio with LeMUR</summary>\n\n```js\nconst { response } = await client.lemur.task({\n  transcript_ids: [\"0d295578-8c75-421a-885a-2c487f188927\"],\n  prompt: \"Write a haiku about this conversation.\",\n});\n```\n\n</details>\n\n<details>\n<summary>Summarize with LeMUR</summary>\n\n```js\nconst { response } = await client.lemur.summary({\n  transcript_ids: [\"0d295578-8c75-421a-885a-2c487f188927\"],\n  answer_format: \"one sentence\",\n  context: {\n    speakers: [\"Alex\", \"Bob\"],\n  },\n});\n```\n\n</details>\n\n<details>\n<summary>Ask questions</summary>\n\n```js\nconst { response } = await client.lemur.questionAnswer({\n  transcript_ids: [\"0d295578-8c75-421a-885a-2c487f188927\"],\n  questions: [\n    {\n      question: \"What are they discussing?\",\n      answer_format: \"text\",\n    },\n  ],\n});\n```\n\n</details>\n<details>\n<summary>Generate action items</summary>\n\n```js\nconst { response } = await client.lemur.actionItems({\n  transcript_ids: [\"0d295578-8c75-421a-885a-2c487f188927\"],\n});\n```\n\n</details>\n<details>\n<summary>Delete LeMUR request</summary>\n\n```js\nconst response = await client.lemur.purgeRequestData(lemurResponse.request_id);\n```\n\n</details>\n\n## Contributing\n\nIf you want to contribute to the JavaScript SDK, follow the guidelines in [CONTRIBUTING.md](./CONTRIBUTING.md).\n","readmeFilename":"README.md"}