table-ocrOCR and extract tables from scanned PDFs and images using MinerU. Recognizes table structures in image-based documents and converts them to structured Markdo...
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://mineru.netAudited Apr 16, 2026 · audit v1.0
Generated May 12, 2026
Extract tables from scanned invoices and receipts for automated data entry into accounting systems. Useful for processing large volumes of historical paper documents.
Extract tables from research papers (PDFs) for meta-analysis or database curation. Ideal for universities and research labs dealing with legacy documents.
Parse tables from scanned legal contracts or court filings to extract structured information like schedules and exhibits. Helps law firms automate document review.
Convert tables from medical reports or lab result PDFs into structured data for electronic health records. Assists hospitals in digitizing paper forms.
Offer the table extraction capability as a subscription-based API for enterprise clients needing scalable document processing. Revenue comes from monthly API call tiers.
Provide a managed service where you receive PDFs/images and return structured data (CSV/Excel). Charge per document or per table extracted, targeting businesses without in-house technical teams.
License the workflow (including CLI integration) to software vendors who want to embed table OCR into their products. Charge a one-time license fee plus annual maintenance.
💬 Integration Tip
Start by setting the MINERU_TOKEN environment variable and testing with a single scanned PDF using 'mineru-open-api extract --ocr --table' before integrating into automated workflows.
Scored Jun 22, 2026
Frontend development with React, Next.js, Tailwind CSS. Build landing pages, dashboards, forms, components. Responsive, accessible, performant UI.
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed. Generates bold, memorable designs from plain text requirements with anti-AI-slop aesthetics, mobile-first responsive patterns, and single-file bundling. Use when building landing pages, marketing sites, portfolios, dashboards, or any static web UI. Supports both Vite (pure static) and Next.js (Vercel deploy) workflows.
Use when building UI with shadcn/ui components, Tailwind CSS layouts, form patterns with react-hook-form and zod, theming, dark mode, sidebar layouts, mobile navigation, or any shadcn component question.
Tailwind reference tool. Use when working with tailwind in frontend contexts.
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