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MinerU

Convert Docs to AI-Ready Markdown in Seconds

Transform PDFs, Word docs, and Office files into clean markdown and structured JSON for RAG pipelines and LLM analysis. No more manual copy-paste.

Document conversion workflow

Built for AI Engineers

Preserve Structure

Headings, lists, tables, and formatting stay intact. No data loss. Perfect document hierarchy for semantic search.

JSON Output

Get structured metadata alongside markdown. Semantic annotations, OCR confidence, layout information for advanced processing.

Batch Processing

Convert thousands of documents in parallel. API-first design scales to enterprise volume without bottlenecks.

Multi-Format Support

PDFs, Word, Excel, PowerPoint, images. Handles scanned documents, native PDFs, and complex layouts with tables and charts.

Optimized for RAG

Chunk intelligently. Preserve cross-references and citations. Metadata fields support semantic chunking and retrieval pipelines.

API & CLI

REST API for integration. Command-line tool for local processing. Webhook support for async workflows. Full-featured SDKs.

How It Works

1

Upload Your Docs

Drop files via UI, API, or CLI. Supports single files or batch jobs with thousands of documents.

2

Intelligent Processing

Our engine extracts text, preserves layout hierarchy, detects and converts tables, identifies section structure.

3

Get Clean Output

Download markdown, JSON, or both. Immediately ready for embedding, retrieval, analysis, or LLM ingestion.

Simple Pricing for Teams

Starter

$29
per month
  • 100 documents/mo
  • 2 concurrent jobs
  • 5MB max file
  • Standard API
  • Community support

Professional

$99
per month
  • 2,000 documents/mo
  • 20 concurrent jobs
  • 500MB max file
  • Priority API
  • Webhook support
  • Email support

Enterprise

Custom
contact sales
  • Unlimited docs
  • Unlimited concurrency
  • On-premise option
  • SLA guarantee
  • Dedicated support
  • Custom training

Frequently Asked

What formats do you support?

PDFs (native and scanned), DOCX, XLSX, PPTX, CSV, and images. We handle complex layouts, multi-column text, tables, and embedded graphics.

How accurate is the OCR?

For native PDFs and modern documents, extraction is near 100%. Scanned documents use our neural OCR model with confidence scoring per section so you can decide on quality thresholds.

Can I use this offline?

Yes. Our CLI runs locally. Professional plans include self-hosted option. Enterprise customers get on-premise deployment with their own infrastructure.

How do I integrate with my RAG system?

REST API is the main integration point. Webhook support lets you trigger downstream indexing. Chunking helpers and metadata extraction make it ready for vector databases.

How honest is this idea, really?

The Wishdeal Factory scores every idea against 10 Adoptability axes, separate from raw quality. Here are the numbers we surface for this one.

69/100Adoptability
$-20,140Year-1 take-home (Fermi)
1 in 8Meaningful-success odds (Fermi)
Honest disclosure: we don't have live customers on this idea yet. We shipped the strategy package; you ship the customer conversations. The dossier maps a realistic path; whether it works is up to you, your taste, and your distribution. More on honest expectations →
Strongest axes
• buyer clarity: 10/10
• credibility: 9/10
• distribution ease: 8/10
Concerns to know about
• financial upside: 2/10
• landing page quality: 6/10
Last refreshed 2026-07-01 · How scoring works

© 2026 MinerU. Transform documents into knowledge.

Built by Wishdeal Studio

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Unlock the dossier
$5

ICP, MVP scope, first 7 build tasks, 30/60/90 launch plan, GTM, email drip, LinkedIn message, objections, risk memo.

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Adopt the build
$99 - $199

Dossier plus the working code starter, brand assets, copy library, and outreach pack.

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Operator partnership
Custom

Hire the team that built this to install, customize, and run launch with you.

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Estimates only · no live customer revenue claimed · read our honest page
Resources for this product
  • Email drip
  • Outreach pack