[ { "path": ".eslintrc.json", "content": "{\n \"extends\": [\"next/core-web-vitals\", \"next/typescript\"]\n}\n" }, { "path": ".example.env", "content": "TOGETHER_API_KEY=\nDATABASE_URL=\n\nS3_UPLOAD_KEY=\nS3_UPLOAD_SECRET=\nS3_UPLOAD_BUCKET=\nS3_UPLOAD_REGION=\n" }, { "path": ".gitignore", "content": "# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.\n\n# dependencies\n/node_modules\n/.pnp\n.pnp.*\n.yarn/*\n!.yarn/patches\n!.yarn/plugins\n!.yarn/releases\n!.yarn/versions\n\n# testing\n/coverage\n\n# next.js\n/.next/\n/out/\n\n# production\n/build\n\n# misc\n.DS_Store\n*.pem\n\n# debug\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\n\n# env files (can opt-in for committing if needed)\n.env*\n\n# vercel\n.vercel\n\n# typescript\n*.tsbuildinfo\nnext-env.d.ts\n.env*.local\n" }, { "path": ".node-version", "content": "20.12.1\n" }, { "path": ".prettierrc", "content": "{\n \"plugins\": [\"prettier-plugin-tailwindcss\"]\n}\n" }, { "path": "LICENSE", "content": "MIT License\n\nCopyright (c) 2025 Hassan El Mghari\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE." }, { "path": "README.md", "content": "\n \"SmartPDF\"\n

SmartPDF

\n\n\n

\n Instantly summarize and section your PDFs with AI. Powered by Llama 3.3 on Together AI.\n

\n\n## Tech stack\n\n- [Together AI](https://togetherai.link) for inference\n- [Llama 3.3](https://togetherai.link/llama-3.3) for the LLM\n- Next.js with Tailwind & TypeScript\n- Prisma ORM with Neon (Postgres)\n- Helicone for observability\n- Plausible for analytics\n- S3 for PDF storage\n\n## Cloning & running\n\n1. Clone the repo: `git clone https://github.com/Nutlope/smartpdfs`\n2. Create a `.env` file and add your environment variables (see `.example.env`):\n - `TOGETHER_API_KEY=`\n - `DATABASE_URL=`\n - `S3_UPLOAD_KEY=`\n - `S3_UPLOAD_SECRET=`\n - `S3_UPLOAD_BUCKET=`\n - `S3_UPLOAD_REGION=us-east-1`\n - `HELICONE_API_KEY=` (optional, for observability)\n3. Run `pnpm install` to install dependencies\n4. Run `pnpm prisma generate` to generate the Prisma client\n5. Run `pnpm dev` to start the development server\n\n## Roadmap\n\n- [ ] Add some rate limiting by IP address\n- [ ] Integrate OCR for image parsing in PDFs\n- [ ] Add a bit more polish (make the link icon nicer) & add a \"powered by Together\" sign\n- [ ] Implement additional revision steps for improved summaries\n- [ ] Add a demo PDF for new users to be able to see it in action\n- [ ] Add feedback system with thumbs up/down feature\n" }, { "path": "components.json", "content": "{\n \"$schema\": \"https://ui.shadcn.com/schema.json\",\n \"style\": \"new-york\",\n \"rsc\": true,\n \"tsx\": true,\n \"tailwind\": {\n \"config\": \"tailwind.config.ts\",\n \"css\": \"src/app/globals.css\",\n \"baseColor\": \"neutral\",\n \"cssVariables\": true,\n \"prefix\": \"\"\n },\n \"aliases\": {\n \"components\": \"@/components\",\n \"utils\": \"@/lib/utils\",\n \"ui\": \"@/components/ui\",\n \"lib\": \"@/lib\",\n \"hooks\": \"@/hooks\"\n },\n \"iconLibrary\": \"lucide\"\n}" }, { "path": "next.config.ts", "content": "import type { NextConfig } from \"next\";\n\nconst nextConfig: NextConfig = {\n images: {\n remotePatterns: [\n {\n protocol: \"https\",\n hostname: \"napkinsdev.s3.us-east-1.amazonaws.com\",\n },\n {\n protocol: \"https\",\n hostname: \"api.together.ai\",\n },\n ],\n },\n};\n\nexport default nextConfig;\n" }, { "path": "package.json", "content": "{\n \"name\": \"pdf-summary\",\n \"version\": \"0.1.0\",\n \"private\": true,\n \"scripts\": {\n \"dev\": \"next dev\",\n \"build\": \"next build\",\n \"postinstall\": \"prisma generate\",\n \"start\": \"next start\",\n \"lint\": \"next lint\",\n \"update:all\": \"pnpm update --interactive --latest\"\n },\n \"dependencies\": {\n \"@ai-sdk/togetherai\": \"^2.0.37\",\n \"@aws-sdk/client-s3\": \"^3.797.0\",\n \"@neondatabase/serverless\": \"^1.0.0\",\n \"@prisma/adapter-neon\": \"^6.6.0\",\n \"@prisma/client\": \"^6.6.0\",\n \"@radix-ui/react-select\": \"^2.1.2\",\n \"@radix-ui/react-slot\": \"^1.1.0\",\n \"@radix-ui/react-toast\": \"^1.2.2\",\n \"@tailwindcss/typography\": \"^0.5.16\",\n \"ai\": \"^6.0.108\",\n \"class-variance-authority\": \"^0.7.0\",\n \"clsx\": \"^2.1.1\",\n \"dedent\": \"^1.5.3\",\n \"lucide-react\": \"^0.503.0\",\n \"nanoid\": \"^5.1.5\",\n \"next\": \"16.1.6\",\n \"next-plausible\": \"^3.12.5\",\n \"next-s3-upload\": \"^0.3.4\",\n \"pdfjs-dist\": \"^4.8.69\",\n \"react\": \"19.2.4\",\n \"react-dom\": \"19.2.4\",\n \"react-dropzone\": \"^14.3.5\",\n \"tailwind-merge\": \"^2.5.4\",\n \"tailwindcss-animate\": \"^1.0.7\",\n \"together-ai\": \"^0.37.0\",\n \"ws\": \"^8.18.0\",\n \"zod\": \"^4.3.6\"\n },\n \"devDependencies\": {\n \"@types/node\": \"^22.15.3\",\n \"@types/react\": \"^19.2.14\",\n \"@types/react-dom\": \"^19.2.3\",\n \"@types/ws\": \"^8.5.13\",\n \"eslint\": \"9.25.1\",\n \"eslint-config-next\": \"15.3.1\",\n \"postcss\": \"^8\",\n \"prettier\": \"^3.3.3\",\n \"prettier-plugin-tailwindcss\": \"^0.6.8\",\n \"prisma\": \"^6.6.0\",\n \"tailwindcss\": \"^3.4.1\",\n \"typescript\": \"^5\"\n },\n \"engines\": {\n \"node\": \"22.x\"\n },\n \"pnpm\": {\n \"onlyBuiltDependencies\": [\n \"@prisma/client\"\n ]\n }\n}\n" }, { "path": "postcss.config.mjs", "content": "/** @type {import('postcss-load-config').Config} */\nconst config = {\n plugins: {\n tailwindcss: {},\n },\n};\n\nexport default config;\n" }, { "path": "prisma/schema.prisma", "content": "// This is your Prisma schema file,\n// learn more about it in the docs: https://pris.ly/d/prisma-schema\n\n// Looking for ways to speed up your queries, or scale easily with your serverless or edge functions?\n// Try Prisma Accelerate: https://pris.ly/cli/accelerate-init\n\ngenerator client {\n provider = \"prisma-client-js\"\n}\n\ndatasource db {\n provider = \"postgresql\"\n url = env(\"DATABASE_URL\")\n}\n\nmodel SmartPDF {\n id String @id @default(nanoid(5))\n createdAt DateTime @default(now())\n imageUrl String\n pdfUrl String\n pdfName String\n\n sections Section[]\n}\n\nmodel Section {\n id String @id @default(nanoid(5))\n type String\n title String\n summary String\n position Int\n\n SmartPDF SmartPDF @relation(fields: [smartPDFId], references: [id])\n smartPDFId String\n}\n" }, { "path": "src/app/actions.ts", "content": "\"use server\";\n\nimport { nanoid } from \"nanoid\";\nimport client from \"@/lib/prisma\";\nimport { redirect } from \"next/navigation\";\n\nconst slugify = (text: string) => {\n return text\n .toLowerCase()\n .replace(/ /g, \"-\")\n .replace(/[^\\w-]+/g, \"\")\n .replace(/--+/g, \"-\")\n .replace(/^-+/, \"\")\n .replace(/-+$/, \"\")\n .slice(0, 20);\n};\n\nexport async function sharePdf({\n pdfName,\n pdfUrl,\n imageUrl,\n sections,\n}: {\n pdfName: string;\n pdfUrl: string;\n imageUrl: string;\n sections: {\n type: string;\n title: string;\n summary: string;\n position: number;\n }[];\n}) {\n const smartPdf = await client.smartPDF.create({\n data: {\n id: `${slugify(sections[0].title)}-${nanoid(4)}`,\n pdfName,\n pdfUrl,\n imageUrl,\n sections: {\n createMany: {\n data: sections,\n },\n },\n },\n });\n\n redirect(`/pdf/${smartPdf.id}`);\n}\n" }, { "path": "src/app/api/image/route.ts", "content": "import dedent from \"dedent\";\nimport { togetheraiBaseClient, togetheraiClient } from \"@/lib/ai\";\nimport { ImageGenerationResponse } from \"@/lib/summarize\";\nimport { awsS3Client } from \"@/lib/s3client\";\nimport { PutObjectCommand } from \"@aws-sdk/client-s3\";\nimport { generateText } from \"ai\";\n\nexport async function POST(req: Request) {\n const json = await req.json();\n const text = \"text\" in json ? json.text : \"\";\n\n const start = new Date();\n\n const truncatedText = text.slice(0, 2000);\n\n const { text: visualDescription } = await generateText({\n model: togetheraiClient(\n \"meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8\",\n ),\n prompt: dedent`\n Based on the following content, describe a single visual scene that represents its essence. \n The scene should be suitable for a painting or illustration.\n Do NOT include any text, words, or writing in your description.\n Just describe what you would see: objects, colors, atmosphere, lighting, mood.\n Keep it to 2-3 sentences.\n\n Content: ${truncatedText}\n\n Visual scene description:\n `,\n });\n\n const prompt = dedent`\n ${visualDescription}\n\n Oil painting, fine art, museum quality, artistic brushstrokes. \n No text, no words, no letters, no writing, no documents, no signs.\n Pure visual illustration only.\n `;\n\n const generatedImage = await togetheraiBaseClient.images.generate({\n model: \"black-forest-labs/FLUX.2-dev\",\n width: 1280,\n height: 720,\n prompt: prompt,\n });\n\n const end = new Date();\n console.log(`Image generation took ${end.getTime() - start.getTime()}ms`);\n\n const imageData = generatedImage.data[0];\n if (!imageData) throw new Error(\"No image data generated\");\n\n if (imageData.url === undefined)\n throw new Error(\"Expected URL response format\");\n\n const imageUrl = imageData.url;\n\n if (!imageUrl) throw new Error(\"No image URL returned\");\n\n const imageFetch = await fetch(imageUrl);\n const imageBlob = await imageFetch.blob();\n const imageBuffer = Buffer.from(await imageBlob.arrayBuffer());\n\n const coverImageKey = `pdf-cover-${generatedImage.id}.jpg`;\n\n const uploadedFile = await awsS3Client.send(\n new PutObjectCommand({\n Bucket: process.env.S3_UPLOAD_BUCKET || \"\",\n Key: coverImageKey,\n Body: imageBuffer,\n ContentType: \"image/jpeg\",\n }),\n );\n\n if (!uploadedFile) {\n throw new Error(\"Failed to upload enhanced image to S3\");\n }\n\n return Response.json({\n url: `https://${process.env.S3_UPLOAD_BUCKET}.s3.${\n process.env.S3_UPLOAD_REGION || \"us-east-1\"\n }.amazonaws.com/${coverImageKey}`,\n } as ImageGenerationResponse);\n}\n\nexport const runtime = \"edge\";\n" }, { "path": "src/app/api/s3-upload/route.ts", "content": "export { POST } from \"next-s3-upload/route\";\n" }, { "path": "src/app/api/summarize/route.ts", "content": "import { togetheraiBaseClient } from \"@/lib/ai\";\nimport assert from \"assert\";\nimport dedent from \"dedent\";\nimport { z } from \"zod\";\n\nexport async function POST(req: Request) {\n const { text, language } = await req.json();\n\n assert.ok(typeof text === \"string\");\n assert.ok(typeof language === \"string\");\n\n const systemPrompt = dedent`\n You are an expert at summarizing text.\n\n Your task:\n 1. Read the document excerpt I will provide\n 2. Create a concise summary in ${language}\n 3. Generate a short, descriptive title in ${language}\n\n Guidelines for the summary:\n - Format the summary in HTML\n - Use

tags for paragraphs (2-3 sentences each)\n - Use