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video converter","maintainers":[{"name":"asiones","email":"asionesjia@gmail.com"}],"readme":"# @mdgate/video\n\n**Convert video to Markdown in TypeScript.**\n\n[`@mdgate/video`](https://github.com/mdgate/converters/tree/main/packages/video) recognizes MP4, M4V, MOV, WebM, Matroska, and AVI, then hands the whole file to a callback you provide.\n\nIt does not ship a video model. `video()` is not registered by `all()`.\n\nWorks in **Node.js, Cloudflare Workers, Edge runtimes, and browsers**.\n\n```bash\nnpm install @mdgate/video\n```\n\n---\n\n## Why [`@mdgate/video`](https://github.com/mdgate/converters/tree/main/packages/video)\n\nVideo is not a document format. Documents that software can parse are handled deterministically. Video understanding needs a model.\n\nThis package keeps that split:\n\n```text\nvideo bytes → your callback → Markdown\n```\n\n* **Pure TypeScript**\n* **No Python runtime**\n* **No native addons**\n* **No WASM runtime**\n* **Zero third-party runtime dependencies in this package**\n* **Detects common video types from their contents, not only the filename**\n* **Not included in `all()`**\n\n---\n\n## What it does\n\nThe converter sniffs the video type, then calls your `(input) => markdown` function with `{ bytes, mime }`.\n\nThe whole file is passed through. mdgate does not decode, transcode, or extract frames.\n\nWithout a callback, conversion fails as unsupported.\n\n---\n\n## Usage\n\n```ts\nimport { create } from '@mdgate/core';\nimport { video } from '@mdgate/video';\nimport { ai } from '@mdgate/ai';\n\nconst media = ai({\n  baseURL: 'https://api.example.com/v1',\n  apiKey: process.env.API_KEY!,\n  model: 'your-model',\n});\n\nconst read = create([\n  video(media.convertVideo),\n]);\n\nconst markdown = await read(bytes, {\n  path: 'clip.mp4',\n});\n```\n\nOr pass any function:\n\n```ts\nimport { create } from '@mdgate/core';\nimport { video } from '@mdgate/video';\n\nconst read = create([\n  video(async (input) => {\n    // Send input.bytes to the video model you already use.\n    return '...';\n  }),\n]);\n```\n\n---\n\n## Node.js\n\n```ts\nimport { readFile } from 'node:fs/promises';\nimport { create } from '@mdgate/core';\nimport { video } from '@mdgate/video';\n\nconst read = create([\n  video(convertVideo),\n]);\n\nconst bytes = new Uint8Array(await readFile('clip.mp4'));\nconst markdown = await read(bytes, { path: 'clip.mp4' });\n```\n\n---\n\n## Cloudflare Workers and Edge runtimes\n\n```ts\nimport { create } from '@mdgate/core';\nimport { video } from '@mdgate/video';\n\nconst read = create([\n  video(convertVideo),\n]);\n\nexport default {\n  async fetch(request: Request) {\n    const bytes = new Uint8Array(await request.arrayBuffer());\n    const markdown = await read(bytes);\n\n    return new Response(markdown, {\n      headers: {\n        'content-type': 'text/markdown; charset=utf-8',\n      },\n    });\n  },\n};\n```\n\n---\n\n## Need more than video?\n\nIf your application needs to read many different file types, use the complete converter set, then add `video()` on top. `all()` does not register it.\n\n```bash\nnpm install @mdgate/converters\n```\n\n[`@mdgate/video`](https://github.com/mdgate/converters/tree/main/packages/video) is one of the single-format packages in the open-source [`mdgate/converters`](https://github.com/mdgate/converters) project.\n\nFor AI agents, the same converter architecture can be used to extend `read_file` from text files to real-world document formats.\n\n---\n\n## License\n\nMIT\n","readmeFilename":"README.md"}