Monkt

Teams building AI applications, chatbots, knowledge bases, and training pipelines need clean, consistently structured text from documents in many different formats such as PDF, Word, PowerPoint, Excel, CSV, and web pages. Manually converting and formatting these documents into a form LLMs can use is time consuming, and inconsistent formatting creates a bottleneck for data pipelines. The site points to specific pain points like arbitrary chunking in RAG pipelines, slow literature reviews when processing research papers, and the difficulty of extracting figures and images from documents at scale. Without a dedicated conversion layer, teams either build this tooling themselves or spend manual hours reformatting content before it can be fed into LLM training, fine-tuning, or retrieval systems.

Monkt offers a dashboard and REST API that transform uploaded files or URLs into clean Markdown or structured JSON. It supports PDF, Word, PowerPoint, Excel, CSV, HTML, and image formats, with OCR for scanned documents and image understanding that converts visual content into descriptive text. Users can rely on automated JSON schema detection or define custom schemas for precise data extraction, and a DeepExtract processing tier (on paid plans) handles page layout, reading order, and table structure understanding. The product supports batch processing for large document sets, caches repeated transformations to reduce usage against plan limits, and offers dedicated recipes for use cases like invoice extraction, research paper structuring, and LLM fine-tuning preparation.