Monkt

Monkt accepts PDF, Word (DOC and DOCX), PowerPoint, Excel, CSV, HTML and plain text, plus live web pages. The converter reads document structure rather than flattening everything into a wall of text, so a spreadsheet grid and a slide outline survive the trip.

The Markdown output is standardized and Obsidian-compatible, which makes it handy for notes apps, static sites and AI training sets. A PDF to Markdown conversion keeps headings, lists and tables intact, so you get a usable file instead of a broken copy-paste job.

You can convert a document into JSON two ways: let Monkt detect the structure automatically, or define your own schema and map fields to it. That second path matters when you need a fixed shape for an API, like invoice number, due date and total sitting in named keys.

The platform pulls images out of your documents and turns visual content into descriptive text and structured data. That's useful for scanned pages, charts and diagrams that would otherwise be invisible to an LLM.

Monkt tunes its output for common LLM setups, claiming you can feed the result in without extra formatting. In practice that means fewer preprocessing scripts between conversion and your model.

You can upload many documents at once through the dashboard or API, and Monkt runs them in parallel while keeping formatting consistent. Progress tracking and notifications help on long jobs.

The Pro plan adds DeepExtract processing, OCR for scanned documents and page screenshots for multi-page PDFs. These handle the hard cases, like image-only scans and dense layouts, that trip up a plain text extractor.

Pro and Enterprise users get full API access with documentation, so conversion can run inside your own app or automation. That turns Monkt from a one-off converter into a piece of a document pipeline.