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PDF converter","maintainers":[{"name":"asiones","email":"asionesjia@gmail.com"}],"readme":"# @mdgate/pdf\n\n**Convert PDF to Markdown in TypeScript.**\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) reads PDF files directly in JavaScript and converts their readable content into Markdown, without Python, native addons, WASM, or an external PDF service.\n\nWorks in **Node.js, Cloudflare Workers, Edge runtimes, and browsers**.\n\n```bash\nnpm install @mdgate/pdf\n```\n\n```ts\nimport { toMarkdown } from '@mdgate/pdf';\n\nconst markdown = await toMarkdown(bytes);\n```\n\n`bytes` is a `Uint8Array`, so the PDF can come from a file upload, object storage, an HTTP request, a browser file picker, or anywhere else your application gets bytes.\n\n---\n\n## Why [`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf)\n\nPDF support often pulls a second document-processing stack into an otherwise JavaScript application.\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) is a PDF reader written for the same runtime as your application:\n\n* **Pure TypeScript**\n* **PDF → Markdown locally**\n* **No Python runtime**\n* **No native addons**\n* **No WASM runtime**\n* **Zero third-party runtime dependencies**\n* **Works with raw `Uint8Array` input**\n* **Detects PDFs from their contents, not only the filename**\n\nUse it when your application, AI agent, ingestion pipeline, or serverless function needs to read PDFs without operating a separate PDF-processing service.\n\n---\n\n## What it extracts\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) reconstructs readable Markdown from positioned PDF content rather than treating the file as plain text.\n\nThe converter handles PDF-specific concerns including:\n\n* page reading order\n* positioned text\n* common font encodings and embedded character maps\n* CJK text\n* superscript and subscript text\n* table-like layouts\n* duplicate and overlapping text\n* encrypted PDF detection\n* embedded images that can be handed back into a reader composed with [`@mdgate/core`](https://github.com/mdgate/converters/tree/main/packages/core)\n\nThe output is Markdown that can be searched, indexed, chunked, cached, or passed directly to an AI agent.\n\n---\n\n## Node.js\n\n```ts\nimport { readFile } from 'node:fs/promises';\nimport { toMarkdown } from '@mdgate/pdf';\n\nconst bytes = new Uint8Array(await readFile('report.pdf'));\nconst markdown = await toMarkdown(bytes);\n\nconsole.log(markdown);\n```\n\n---\n\n## Browser\n\nPDFs can be converted directly from a browser file picker.\n\n```ts\nimport { toMarkdown } from '@mdgate/pdf';\n\nconst file = input.files![0];\nconst bytes = new Uint8Array(await file.arrayBuffer());\n\nconst markdown = await toMarkdown(bytes);\n```\n\nFor text-based PDFs, conversion can happen locally without uploading the document to a parsing service.\n\n---\n\n## Cloudflare Workers and Edge runtimes\n\nBecause [`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) does not depend on Python, native binaries, WASM, or a separate execution runtime, it can be used as a normal JavaScript dependency in Cloudflare Workers and other Edge runtimes.\n\n```ts\nimport { toMarkdown } from '@mdgate/pdf';\n\nexport default {\n  async fetch(request: Request) {\n    const bytes = new Uint8Array(await request.arrayBuffer());\n    const markdown = await toMarkdown(bytes);\n\n    return new Response(markdown, {\n      headers: {\n        'content-type': 'text/markdown; charset=utf-8',\n      },\n    });\n  },\n};\n```\n\nThis makes it suitable for workflows such as:\n\n```text\nupload PDF\n↓\nCloudflare Worker\n↓\n@mdgate/pdf\n↓\nMarkdown\n↓\nagent / search / index / storage\n```\n\n---\n\n## PDF detection\n\nYou do not need to trust the file extension.\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) recognizes PDF content from the PDF signature itself.\n\n```ts\nconst markdown = await toMarkdown(bytes);\n```\n\nA path can still be supplied as a format hint when [`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) is used through [`@mdgate/converters`](https://github.com/mdgate/converters/tree/main/packages/converters) or a reader composed with [`@mdgate/core`](https://github.com/mdgate/converters/tree/main/packages/core), but the path is never used to read a file from disk.\n\n---\n\n## Scanned and image-heavy PDFs\n\nPDF is a container, not a guarantee that readable text exists.\n\nA PDF may contain:\n\n* selectable text\n* embedded images\n* scanned pages\n* or a mixture of all three\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) parses textual PDF content deterministically.\n\nIt does **not** silently send every PDF to an OCR or AI service.\n\nWhen used inside a reader composed with [`@mdgate/core`](https://github.com/mdgate/converters/tree/main/packages/core), supported embedded PDF images can be passed back through the same converter pipeline, allowing your application to connect the vision model or image reader it already uses.\n\nThis keeps the responsibilities separate:\n\n```text\nPDF text → deterministic PDF parser\nPDF images → your chosen image / vision pipeline\n```\n\nFor a purely scanned PDF, use an image-capable conversion path if you need the text visible in the scan.\n\n---\n\n## Encrypted PDFs\n\nEncrypted or password-protected PDFs are reported as encrypted rather than returning misleading partial output.\n\nThat makes the behavior explicit for applications and agents that need to decide what to do next.\n\n---\n\n## Compose it with other file readers\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) implements the converter interface from [`@mdgate/core`](https://github.com/mdgate/converters/tree/main/packages/core).\n\n```ts\nimport { create } from '@mdgate/core';\nimport { pdf } from '@mdgate/pdf';\n\nconst read = create([\n  pdf(),\n]);\n\nconst markdown = await read(bytes);\n```\n\nAdd other converters when your application needs more than PDF:\n\n```ts\nimport { create } from '@mdgate/core';\nimport { pdf } from '@mdgate/pdf';\nimport { docx } from '@mdgate/docx';\nimport { pptx } from '@mdgate/pptx';\n\nconst read = create([\n  pdf(),\n  docx(),\n  pptx(),\n]);\n```\n\nThe application still uses one reading interface while each format remains independently installable.\n\n---\n\n## Need more than PDF?\n\nIf your application needs to read many different file types, use the complete converter set:\n\n```bash\nnpm install @mdgate/converters\n```\n\n```ts\nimport { toMarkdown } from '@mdgate/converters';\n\nconst markdown = await toMarkdown(bytes, {\n  path: filename,\n});\n```\n\n[`@mdgate/pdf`](https://github.com/mdgate/converters/tree/main/packages/pdf) 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"}