monkt

monkt

Monkt is a document processing platform that converts PDFs, Word, PowerPoint, Excel, CSV, images and web pages into AI-ready Markdown or structured JSON, with features for batch processing, custom JSON schemas, image understanding, and REST API integration.

monkt is research software teams evaluate for research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Paid API Enterprise 75/100
#96 in Research (96 tools)
Just launched
Data reviewed Aug 22, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Research

What it does

Research software for decision-makers comparing workflow fit and alternatives.

Best fit

Research

Pricing snapshot

Paid from $4.99 /month

Next step

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monkt

Monkt is a document transformation platform that converts PDFs, Word, PowerPoint, Excel, CSV, images, web pages and raw HTML into clean, AI-optimized Markdown or structured JSON. It targets teams and individuals preparing content for LLMs and AI systems, offering both an intuitive dashboard for manual uploads and a REST API for programmatic integration. The service emphasizes structured outputs (including custom JSON schemas), image understanding, LLM-optimized formatting, and features for large-scale processing such as batch jobs and caching.

Monkt converts documents into AI-ready Markdown or JSON for AI/LLM integration.

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Key Features

Universal format support

Process PDFs, Word (DOC/DOCX), PowerPoint (PPT/PPTX), Excel (XLS/XLSX), CSV, HTML, images and plain text.

Clean Markdown export

Convert documents into standardized Markdown optimized for AI/LLM use and tools like Obsidian.

Custom JSON schema

Transform documents into structured JSON using automated schema detection or user-defined schemas for precise data extraction.

Image understanding

Detect and process images inside documents, extract descriptive text and metadata (OCR and EXIF extraction).

LLM optimization

Output formats and structuring optimized for popular LLM systems to reduce additional formatting work.

Batch processing & caching

Process multiple documents in parallel with caching of repeated conversions; cache duration matches plan's data persistence period.

REST API

Programmatic integration via a REST API to automate document workflows and batch transformations.

DeepExtract™ & OCR

Advanced processing (DeepExtract™) for deterministic JSON and OCR handling of scanned documents (available on Pro/Enterprise tiers).

Secure processing

End-to-end encryption for documents in transit and at rest, secure storage, and configurable data persistence/deletion.

Intuitive UI

Drag-and-drop uploads, URL input, real-time preview of transformations, and an interactive dashboard.

Pricing

Start

$4.99 /month
  • 50 transformations per month
  • Up to 15 MB per file
  • 7 days data persistence
  • Export to Markdown & JSON

Pro

$14.99 /month
  • 1,000 transformations per month
  • Up to 25 MB per file
  • 30 days data persistence
  • DeepExtract™ processing

Enterprise

Contact Us
  • Unlimited data persistence
  • Faster inference (GPU servers)
  • DeepExtract™ advanced processing
  • Custom integration support

Premium / Managed

Per request
  • Bulk document processing & cleaning
  • Intelligent chunking & vectorization
  • RAG-optimized data preparation
  • Custom chatbot data pipelines

Use Cases

Custom AI chatbots

Turn documentation, knowledge bases, or websites into structured content that feeds context-aware chatbots integrated with LLMs.

Intelligent knowledge bases

Create semantic JSON outputs for smart search systems, recommendation engines, and advanced query understanding.

Document intelligence & data extraction

Extract structured data, metadata, tables and relationships from documents for analysis and downstream workflows.

Custom AI training & fine-tuning

Produce clean, consistent datasets and Markdown/JSON outputs suitable for fine-tuning LLMs and training specialized models.

Obsidian-ready knowledge import

Convert documents into Obsidian-compatible Markdown for personal knowledge management and research workflows.

RAG & vectorization preparation

Prepare documents with intelligent chunking, vectorization and RAG-optimized data pipelines (recipes and workflows provided).

Domain-specific pipelines (invoices, research papers, articles)

Pre-built recipes such as 'Invoice to Structured JSON', 'Research Papers in JSON', and 'Articles in Structured JSON' for common processing scenarios.

Integrations

REST API

Programmatic access to transform content, automate batch processing, and retrieve transformed documents (API Docs available).

Obsidian

Obsidian-ready Markdown export for importing documents into Obsidian knowledge bases.

ML pipeline integration

Designed outputs and schemas for seamless integration with existing machine learning and fine-tuning pipelines.

Benefits

Speeds up data preparation for AI/LLM workflows by producing clean, consistent Markdown and JSON outputs ready for training and inference.
Scales document processing with batch processing, caching and API integration to handle high volumes without proportional manual effort.
Improves integration with ML pipelines through custom JSON schemas, deterministic JSON extraction (DeepExtract™), and image OCR capabilities.

Limitations

Upload limits in the UI: up to 3 files (max 5 MB each) for the quick upload widget.
Per-plan file size and data persistence limits (e.g., Start: up to 15 MB/file and 7 days persistence; Pro: up to 25 MB/file and 30 days persistence).
Some conversion types and formats (MP3, MP4, WAV and other media) are 'coming soon' and not yet supported.

Frequently Asked Questions

What file formats do you support?
Monkt supports PDF, Word (DOC, DOCX), PowerPoint (PPT, PPTX), Excel (XLS, XLSX), HTML, plain text and image formats. The system can process both text and embedded images.
How does the JSON schema customization work?
Pro users can define custom JSON schemas or use automated schema detection to ensure output data matches exact requirements.
How do you handle document storage and security?
All documents are encrypted in transit and at rest. Documents are securely stored and automatically deleted after 30 days unless specified otherwise (data persistence varies by plan).
What's included in the API access?
Pro and Enterprise users receive full API access with comprehensive documentation to integrate document processing, automate batch jobs and retrieve transformed documents programmatically.
How does batch processing work?
You can upload multiple documents at once through the interface or API; the system processes them in parallel, provides progress tracking and notifications, and maintains consistent formatting across outputs.
How do you handle images in documents?
The system detects and processes images, extracting image content, generating descriptive text, and including them in Markdown or JSON output (OCR and EXIF extraction supported).
What kind of support do you offer?
All users have access to documentation and email support; Pro users receive priority support, and Enterprise customers get dedicated teams and custom SLAs.
Can I try before subscribing?
Yes — you can try the service with a sample document to evaluate Markdown and JSON output quality before subscribing.

Getting Started

  1. 1 Step 1: Sign up for an account or try the sample document to evaluate output quality.
  2. 2 Step 2: Upload files (drag-and-drop) or enter URLs (up to 3 files via UI) and choose conversion type (Markdown or JSON) or a processing recipe.
  3. 3 Step 3: Preview transformation in the dashboard or integrate programmatically using the REST API to automate workflows.

Support

Docs

API Docs and documentation available from the Resources section on the site.

Email

All users have access to email support; Pro users receive priority email support.

Dedicated enterprise support

Enterprise customers receive dedicated support teams, custom SLAs and project management.

API

Available: Yes
Documentation:

API Docs page linked from the site's Resources section (see 'API Docs').

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