FileMarkd · 40+ Formats

Convert Any File to Markdown or JSON

Convert PDFs, Word documents, Excel spreadsheets, presentations, images, and 40+ other formats into clean, structured Markdown or JSON.

Up to 50 MB per file
In-browser instant preview
Built-in OCR for images

Convert your document

Output: clean Markdown with tables, math, and document structure preserved.

FileMarkd Converter Pro
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Drag & drop documents or images here

You can upload up to 10MB · Auto-detect math equations and complex tables

boltNo local files? Load a test sample in one click:

lockYour files are protected with end-to-end encryption. After conversion they are automatically cleaned up — we never retain or leak any private content.

Complete Ingestion Spec

Convert 40+ File Formats

Zero dependencies required. FileMarkd parses binary and markup documents straight to clean CommonMark or deeply indexed AST trees.

Document Formats

16 Supported Types

Full AST and CommonMark parsing with complete preservation of document hierarchies, multi-column layouts, data tables, and mathematical formulas.

PDF
.pdf (Native & Scanned)
Word
.docx, .doc
PowerPoint
.pptx, .ppt
Excel
.xlsx, .csv
Text Files
.txt (Plaintext)
EPUB
.epub eBook
XML/DocBook
.xml, .dbk
RTF
.rtf Rich Text
OpenDocument
.odt Document
BibTeX
.bib Bibliography
FictionBook
.fb2 Reader
Jupyter Notebooks
.ipynb Python
JATS XML
.jats Academic
LaTeX
.tex Math & Papers
OPML
.opml Outlines
Troff
.t, .roff Unix Man
.PDF.DOCX.PPTX.XLSX.TXT.EPUB.ODT.JPYNB.TEX

Image Formats

8 OCR Formats

Automated vision-based OCR with spatial coordinate mapping and multi-column document layout deconstruction.

JPEG
.jpeg, .jpg
PNG
.png (Lossless)
AVIF
.avif Modern Web
TIFF
.tiff Scanned Archival
GIF
.gif Raster Graphic
HEIC/HEIF
.heic, .heif Mobile
BMP
.bmp Bitmap
WebP
.webp Web Image
.JPEG.PNG.AVIF.TIFF.HEICOCR Enabled
Architecture Choice

Choose the Format That Fits Your Workflow

Whether you are building LLM context windows or feeding downstream enterprise relational stores, FileMarkd outputs clean, validated structures.

Markdown (.md)

Human-Readable
Best for: Documentation, Knowledge Bases, AI / RAG, Notion, GitHub, Content Editing
Human & LLM Native: High semantic density with minimal syntax overhead.
Preserves Document Hierarchy: Clean H1 to H6 tree without arbitrary text breaks.
GFM Table Recovery: Multi-cell alignment converted to valid markdown tables.
Git-Friendly Versioning: Clean diffs across doc updates and PR reviews.
# Markdown Snippet Output
## Section 1.2: System Architecture FileMarkd provides *zero-friction* parsing. - Latency: < 1500ms - Compliance: SOC2 Type II

Structured JSON (.json)

Machine-Readable
Best for: AI Applications, APIs, Data Processing, RAG Pipelines, Automation, Vector DBs
Full Abstract Syntax Tree: Direct programmatic consumption for Python & Node.
Spatial Bounding Boxes: Coordinate recovery for pinpoint document citation.
Strict JSON Schema: Guaranteed typing for reliable automated data ingestion.
Token-Efficient Chunking: Metadata tagging for seamless vector indexing.
// Structured AST Snippet Output
{ "node": "heading", "level": 2, "text": "System Architecture" }, { "node": "list", "items": ["Latency: < 1500ms", "SOC2"] }
Lossless Document Extraction

Preserve More Than Just Text

Plain text dumping loses 80% of human document intent. FileMarkd's multi-pass structural compiler guarantees critical semantics remain intact.

H1

Headings & Hierarchy

Maintains the semantic cascade from H1 through H6 without flattening sections into plain body paragraphs.

Complex Tables

Converts multi-page tables, column spans, and financial matrices into deterministic GFM tables or JSON coordinate arrays.

Lists & Checklists

Preserves nested indentation, numbered series, task checkboxes, and bullet anchors across page breaks.

Images & Charts

Extracts inline figures, isolates captions, and executes high-resolution OCR on flowcharts and architectural diagrams.

Rich Metadata

Pulls embedded PDF properties: author, revision dates, cryptographic signatures, page count, and layout margins.

Multi-Language Unicode

Flawless Unicode parsing for 40+ global languages, right-to-left scripts (Arabic/Hebrew), and CJK character rendering.

Engine Specifications

Supported File Conversions Matrix

File TypeInput ExtMarkdown OutputJSON OutputStructure PreservationOCR Support
Portable Document Format (PDF).pdf
Pixel-Perfect ASTFull Hybrid OCR
Microsoft Word.docx / .doc
Styles, Tables & XMLEmbedded Only
PowerPoint Presentations.pptx / .ppt
Slide Deck Notes & TextSlide Raster
Excel & Tabular Data.xlsx / .csv
Multi-Sheet GFM MatrixN/A
Plain Text Files.txt
Direct Semantic IngestionN/A
Digital Publications.epub / .fb2
Chapters, Metadata & TOCN/A
Rich & Open Documents.rtf / .odt
Hierarchy & FormattingN/A
Scientific & Technical.tex / .ipynb
LaTeX Math + Notebook CellsN/A
Structured MarkupXML, DocBook, JATS
Schema-Pure Tree ASTN/A
Academic & Outline.bib / .opml / Troff
Citations & Node TreesN/A
Raster & Vision ImagesJPEG, PNG, AVIF, TIFF, GIF, HEIC, BMP, WebP
Visual Spatial LayoutHigh-Precision OCR (8 Formats)
Deterministic Execution

How FileMarkd Works

A four-stage ephemeral pipeline engineered for instant conversions with zero local footprint.

STEP 01

Upload Document

Drop any document, spreadsheet, slide deck, image, or technical file directly into the interactive web workbench.

Auto mime-type detection
STEP 02

Choose Output

Select Markdown for human/wiki reading, or structured JSON for machine processing and LLM pipelines.

Configurable schema rules
STEP 03

High-Speed Parse

The AST compiler extracts visual layout, calculates column boundaries, triggers OCR if needed, and builds semantic nodes.

Sub-second response
STEP 04

Download & Pipe

Copy parsed text immediately, download batch archives, or ingest directly into vector stores via webhook.

Zero server retention
Industry Applications

Built for Modern Document Workflows

How leading AI teams, technical writers, and enterprises leverage FileMarkd for high-volume ingestion.

AI & RAG Pipelines

Structured chunking with preserved table headers prevents vector embedding degradation, cutting RAG hallucinations by up to 64%.

LangChain · LlamaIndex

Git-Backed Documentation

Bulk convert legacy corporate PDF specifications and Word documents into Git-versioned Docusaurus or VitePress repositories.

Docusaurus · Mintlify

Automated Data Ingestion

Extract quarterly balance sheets, financial disclosures, and operational logs into clean JSON streams for continuous ELT pipelines.

Snowflake · BigQuery

Research & Academia

Convert two-column arXiv preprints, biological XML structures, and mathematical formulas straight into clean LaTeX-compatible Markdown.

arXiv · CrossRef

CMS & Wiki Migration

Transition enterprise SharePoint and Confluence silos into clean headless CMS collections without manual copy-paste restructuring.

Notion · Strapi

Developer Tooling

Convert Jupyter notebooks (.ipynb) and raw terminal logs into Markdown files ready for README publishing and CI test reports.

GitHub Actions · CLI
Common Queries

Frequently Asked Questions

FileMarkd natively supports over 40 distinct formats including enterprise document formats (PDF, Word DOCX/DOC, PowerPoint PPTX, RTF, OpenDocument ODT), tabular spreadsheets (XLSX, XLS, CSV, TSV), digital books (EPUB, FB2), scientific formats (LaTeX TEX, Jupyter IPYNB, BibTeX), enterprise markup (XML, DocBook, JATS, OPML), and 8 vision raster formats (JPEG, PNG, AVIF, TIFF, GIF, HEIC, BMP, WebP) with built-in OCR.

100% In-Browser Privacy

Ready to convert your first document?

Experience zero-friction AST conversion. No account or registration required for preview files. Enjoy a pure, instant browser workspace with guaranteed zero server retention.

Browser Security Guarantee

All conversions run ephemerally with zero data retention. Your files are never cached or stored on disks.

Private in-memory AST serialization