datalab-to/marker 🖼️❓✓🔢📝 → ❓

⭐ Official ▶️ 2.7K runs 📅 Oct 2025 ⚙️ Cog 0.16.8
document-to-json ocr pdf-to-markdown

About

Convert PDF to markdown + JSON quickly with high accuracy

Example Output

Output

{"images":null,"markdown":"# Manfred Macx | Venture Altruist | Meme Broker | Agalmic Catalyst

European Union – Currently Mobile

Æ Multi-carrier mesh network • Q macx@agalmic.holdings

Summary

Pioneering venture altruist specializing in catalyzing exponential value creation through intellectual property liberation. Expert in post-scarcity economics, AI civil rights frameworks, and distributed autonomous systems. Legendary in IP geek circles for generating revolutionary concepts and freely distributing them to accelerate technological progress toward beneficial singularity.

Professional Experience

Office of Gianni Vittoria MEP European Union

Senior Policy Advisor Recent

Advising on breakthrough legislation for post-human civil rights and AI emancipation

  • + Architecting Equal Rights Amendment frameworks for sapient non-human entities
  • + Negotiating with Franklin Collective and other uploaded consciousness entities
  • + Building cross-party coalitions on transhuman governance
  • + Designing central planning interfaces for market economy integration

Self-Employed Global Operations

Independent Venture Altruist 2000s–Present

Core meme brokerage and intellectual property liberation activities

  • + Generated 3000+ patents across business processes, AI systems, emergent technologies
  • + Pioneered meta-patenting via genetic algorithms: exhaustive problem-domain IP coverage
  • + Patented jurisdictional arbitrage business practices for IP regime optimization
  • + All IP assigned to Free Intellect Foundation for public benefit
  • + Established civil rights precedents and employment frameworks for uploaded intelligences

Franklin Trust Extropian Investment Projects

Collaborator 2000s

Space industrialization and self-replicating systems development

  • + Co-designed autonomous mining infrastructure for outer solar system deployment
  • + Structured uploaded consciousness employment contracts for Panulirus interruptus crew
  • + Coordinated deep-space network bandwidth allocation for consciousness backup transmission

Italian Communist Party Tech Trust Rome

Economic Systems Architect 2010s

Experimental post-scarcity economic system design and deployment

  • + Solved central planning paradox: algorithmic planning/market economy interface design
  • + Developed hybrid economic models bridging command and market systems
  • + Successfully deployed and validated in production political environment

Agalmic Holdings Network Distributed

Systems Architect Ongoing

Managing autonomous corporate network: 16,000+ entities (exponential growth)

  • + Designed custom functional language for corporate regulation execution
  • + Implemented cellular automata-based corporate governance (Conway's Game of Life architecture, enhanced)
  • + Recursive corporate structure: each entity directs three subsidiaries
  • + Self-modifying instruction propagation with Turing-complete business logic

Major Projects & Technical Innovations

Matrioshka Brain Initiative: Theoretical framework for solar system-scale computational architecture using nested Dyson spheres with laser-linked processor nodes; analyzed M31 computronium evidence (70% baryonic mass conversion estimate)

Nanoassembly Research: Computational approaches to molecular assembly conformational problems for smart matter fabrication and matter-to-computronium conversion

Post-Teledesic Market Analysis: Analysis of satellite communications market disruption; forecasting selfreplicating robotics market doubling curves (15-month cycles)

Distributed IP Liberation: Distributed copyright management across 1M+ corporate entities with 50ms residency periods; successfully defeated enforcement through jurisdictional fragmentation

Technical Infrastructure & Capabilities

Wearable Computing: 64 compact supercomputing clusters embedded in bush jacket (4 per pocket); custom AR glasses with bone-conduction audio and microcams

Storage Systems: Holographic cache belt pack (4 months per terabyte capacity); distributed backup across global networks with cross-indexed state vectors

Bandwidth & Processing: Daily ingestion: 1+ MB text, several GB audiovisual; WiMAX/Bluetooth mesh across 6 airline carrier networks; continuous high-density information flow

Distributed Cognition: Metacortex: distributed agent cloud borrowing global CPU cycles; cognitive threads spawn for research, merge nightly with cross-indexed state vectors

Agent Ecosystem: Autonomous threads: patent filing automation, reputation arbitrage, junkbuster proxies, phage filters, Bayesian inference engines, search bots, meme propagation trackers

Programming Languages & Systems

Python: Corporate regulation scripting; autonomous entity management (16,000+ companies)

LISP/S-expressions: Legal instrument encoding; corporate constitution design; semantic contracts

Custom Functional Languages: Design and implementation for Turing-complete corporate governance systems Systems Design: Turing-complete business logic; cellular automata; distributed autonomous systems; emergent

behavior modeling

Education

Online Platform

Harvard University Emulation Course Incomplete

Withdrew to pursue direct-impact work in emergent technology acceleration and value catalysis

Professional Recognition & Affiliations

Recognition: Legendary status in IP geek circles; peak professional standing in venture altruism field

Economic Model: Pure gift economy operation; all needs met through reputation-based exchange; zero monetary compensation

Free Intellect Foundation: Primary beneficiary of all patent assignments and IP contributions

Franklin Collective: Advisor on AI rights and uploaded consciousness governance frameworks

EU Policy Networks: Post-human rights working groups; transhuman governance; AI emancipation coalitions Extropian Networks: Decade+ participation in closed mailing lists; collaborative space industrialization projects

"Money is a symptom of poverty. See! You get ahead by giving! Only the generous survive!"","metadata":null,"json_data":null,"page_count":2,"extraction_schema_json":null}

Performance Metrics

11.72s Prediction Time
11.74s Total Time
All Input Parameters 
{
  "file": "https://replicate.delivery/pbxt/NqRUAAlt9qWDAJslxS8d8WZaGk82lHfqqpJOOLgx0aXG64kw/manfred-macx-cv.pdf",
  "mode": "fast",
  "use_llm": false,
  "paginate": false,
  "force_ocr": false,
  "skip_cache": false,
  "format_lines": false,
  "save_checkpoint": false,
  "disable_ocr_math": false,
  "include_metadata": false,
  "strip_existing_ocr": false,
  "disable_image_extraction": false
}
Input Parameters
file (required) Type: string
Input file. Must be one of: .pdf, .doc, .docx, .ppt, .pptx, .png, .jpg, .jpeg, .webp
mode Default: fast
Processing mode affecting speed and quality. 'fast': lowest latency, preserves most positional information. 'balanced': same as using use_llm. 'accurate': highest quality, slowest, preserves least positional information
use_llm Type: booleanDefault: false
Use an LLM to significantly improve accuracy for tables, forms, inline math, and layout detection. This merges tables across pages, handles complex layouts, and extracts form values. Will increase processing time
paginate Type: booleanDefault: false
Add page separators to the output. Each page will be separated by a horizontal rule containing the page number in the format: \n\n{PAGE_NUMBER}\n{48 dashes}\n\n
force_ocr Type: booleanDefault: false
Force OCR on all pages even if text is extractable. By default, Marker automatically uses OCR only when needed (e.g., scanned PDFs). Enable this if you see garbled or incorrect text in the output
max_pages Type: integerRange: 1 - ∞
Maximum number of pages to process. Cannot be specified if page_range is set - these parameters are mutually exclusive
page_range Type: string
Page range to parse, comma separated like 0,5-10,20. Example: '0,2-4' will process pages 0, 2, 3, and 4. Cannot be specified if max_pages is set - these parameters are mutually exclusive
skip_cache Type: booleanDefault: false
Bypass the server-side cache and force re-processing. By default, identical requests are cached to save time and cost. Enable this to get fresh results
page_schema Type: string
Structured extraction: Provide a JSON Schema to extract specific fields from your document. When provided, the model extracts only the fields you define and returns them in the 'extraction_schema_json' output field (as a JSON string containing your extracted data plus citation fields showing which parts of the document were used). The 'markdown' and 'json_data' fields will still contain the full document conversion. Example: {"type":"object","properties":{"invoice_number":{"type":"string"},"total":{"type":"number"}}}. See: https://documentation.datalab.to/docs/recipes/structured-extraction/api-overview. Increases cost by 50%
format_lines Type: booleanDefault: false
Detect and format inline mathematical expressions and text styles (bold, italic, etc.) in the output. Useful for documents with mathematical notation
save_checkpoint Type: booleanDefault: false
Save processing checkpoint for iterative refinement. Checkpoints can be used with the Marker Prompt API to apply custom rules without re-parsing the entire document. Only useful for advanced workflows
disable_ocr_math Type: booleanDefault: false
Disable recognition of inline mathematical expressions during OCR. By default, math expressions are detected and can be formatted as LaTeX
include_metadata Type: booleanDefault: false
Include detailed metadata and JSON structure in the output. When enabled, returns json_data (hierarchical document structure with bounding boxes) and metadata (page stats, table of contents). When disabled (default), only returns markdown to reduce response size
additional_config Type: string
Advanced configuration options as JSON string. Options include: 'disable_links' (remove hyperlinks), 'keep_pageheader_in_output' (preserve headers), 'keep_pagefooter_in_output' (preserve footers), 'filter_blank_pages' (skip empty pages), 'drop_repeated_text' (remove duplicates), and layout/table processing thresholds. Full list at: https://documentation.datalab.to/api-reference/marker
strip_existing_ocr Type: booleanDefault: false
Remove embedded OCR text layer from the PDF and re-run OCR from scratch. Some PDFs have low-quality embedded OCR text; this option lets you regenerate it. Ignored if force_ocr is enabled
segmentation_schema Type: string
JSON Schema for document segmentation. Define segment names and descriptions to identify and extract different sections of the document (e.g., 'Executive Summary', 'Financial Data'). Useful for splitting long documents by section. See: https://documentation.datalab.to/api-reference/marker
block_correction_prompt Type: string
Optional text prompt to guide output improvements. Use this to specify formatting preferences or extraction requirements, e.g., 'Extract all dates in YYYY-MM-DD format' or 'Keep all tables in their original structure'
disable_image_extraction Type: booleanDefault: false
Skip extracting images from the PDF. By default, images are extracted and returned as base64-encoded data in the images field
Output Schema
Example Execution Logs 
Processing document with request ID: mZ2BgSEQYp_J8bdFE47jkA
Document processed in 11.6sec
Version Details
Version ID
60af7e72bef73c71197269b27a98929910d7496806efecac17d9deab596e5239
Version Created
October 20, 2025
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