7e423a3e50
- Next.js 15 + Tailwind v4 + shadcn/ui + TanStack Table - Prisma + PostgreSQL schema for ResponseCard, ProcessingJob, AppSettings - Ollama vision integration with structured extraction prompts - PDF-to-image pipeline with pdf2pic + sharp - MinIO S3 storage for uploaded files and extracted images - Chokidar-based folder monitoring for automatic processing - REST API (9 endpoints) ready for Monday.com integration - Dashboard with filterable data table, chip filters, bulk actions, CSV export - Card detail page with editable fields and side-by-side scanned images - Upload page with drag-and-drop and real-time processing queue - Settings page for Ollama, folder watch, and Monday.com config - Dockerfile (multi-stage) + docker-compose for local dev - Configured for Coolify deployment at echo.stillwell.cloud Made-with: Cursor
60 lines
1.5 KiB
TypeScript
60 lines
1.5 KiB
TypeScript
import { fromBuffer } from "pdf2pic";
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import sharp from "sharp";
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export interface PageImage {
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page: number;
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buffer: Buffer;
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width: number;
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height: number;
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}
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export async function pdfToImages(pdfBuffer: Buffer): Promise<PageImage[]> {
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const converter = fromBuffer(pdfBuffer, {
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density: 200,
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format: "jpeg",
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width: 1600,
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height: 2200,
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quality: 90,
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});
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const pageCount = await getPdfPageCount(pdfBuffer);
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const images: PageImage[] = [];
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for (let i = 1; i <= pageCount; i++) {
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const result = await converter(i, { responseType: "buffer" });
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if (result.buffer) {
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const metadata = await sharp(result.buffer).metadata();
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images.push({
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page: i,
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buffer: result.buffer as Buffer,
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width: metadata.width || 1600,
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height: metadata.height || 2200,
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});
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}
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}
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return images;
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}
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async function getPdfPageCount(pdfBuffer: Buffer): Promise<number> {
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const text = pdfBuffer.toString("latin1");
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const matches = text.match(/\/Type\s*\/Page(?!s)/g);
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return matches ? matches.length : 2;
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}
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export async function imageToBase64(buffer: Buffer): Promise<string> {
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const processed = await sharp(buffer)
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.resize(1200, undefined, { withoutEnlargement: true })
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.jpeg({ quality: 85 })
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.toBuffer();
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return processed.toString("base64");
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}
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export async function processUploadedImage(buffer: Buffer): Promise<Buffer> {
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return sharp(buffer)
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.resize(1600, undefined, { withoutEnlargement: true })
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.normalize()
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.sharpen()
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.jpeg({ quality: 90 })
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.toBuffer();
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}
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