Skip to content
Stork.AIstork.ai
AI Tool

Sygal Review

Sygal is a desktop application that converts documents, images, and web pages into clean Markdown and structured JSON directly on your computer, emphasizing local processing for privacy and efficiency.

shipped Aug 25, 2026writingpaid
writing
Sygal — product screenshot

Why it matters

1Sygal supports 29 document formats, including PDF, Microsoft Word, and Microsoft Excel.
2It processes files locally on macOS 12+ and Windows 10+ platforms, ensuring data privacy.
3The application integrates with AI models such as OpenAI, Claude, Mistral, and NVIDIA NIM.
4Sygal offers a Launch Offer pricing tier at €25 for a one-time purchase.

About Sygal

Business Model
one-time-purchase
Headquarters
Paris, France
Team Size
1
Funding
Bootstrapped
Platforms
macOS 12+, Windows 10+
Target Audience
Developers, Professionals, Everyday users

Pricing Plans

Launch Offer
€25 / one-time
  • • Licence for 2 seats
  • • All features: conversion, OCR (BYOK), library, batch export
  • • Updates included for the major version
  • • 14-day free trial before purchase

Leadership

Cyrill SemahCreator

Screenshots

overview

What is Sygal?

Sygal is an AI-powered document conversion tool developed by Cyrill Semah that enables professionals and AI developers to transform various content into standardized, AI-ready Markdown and JSON. It processes files locally on the user's machine, ensuring data privacy and significantly reducing token usage for AI models by providing clean, structured input. Sygal supports 29 formats, including native and scanned PDFs, Microsoft Word, Microsoft Excel, and common image types via OCR, and can also import web pages and YouTube transcripts. Its primary function is to prepare content for AI applications and RAG pipelines, enhance readability, and standardize document output for consistent processing.

features

Key Features of Sygal

Sygal provides a comprehensive set of features designed for local, private, and efficient document conversion into AI-ready formats. Its capabilities span a wide range of document types and offer advanced processing options for enhanced utility.

  • 100% on-device processing for all conversions, ensuring data privacy.
  • Supports 29 input formats, including PDF (native and scanned), Microsoft Word, Microsoft Excel, PowerPoint, HTML, CSV, EPUB, Jupyter notebooks, ZIP archives, Outlook and standard emails, RTF, and common image formats.
  • Native preview and editing capabilities before exporting converted content.
  • Batch conversion functionality for processing multiple documents simultaneously.
  • Persistent local library with full-text search for efficient document management.
  • Converts documents, images, and web pages into clean, AI-ready Markdown and structured JSON.
  • Performs local OCR for images and scanned documents, including transcribing embedded images within various document types.
  • Integrates with NVIDIA Nemotron Nano VL for enhanced OCR and custom provider models for AI processing.
  • Offers a 'Plain text mode' to remove Markdown formatting for lighter AI input, retaining original and translated versions.
  • Includes a 'Convert via OCR' button for PDFs to rebuild tables, headings, and reading order using a vision model when local extraction is insufficient.

use cases

Who Should Use Sygal?

Sygal is designed for a diverse range of users who require efficient, private, and standardized document conversion for AI applications, data management, and enhanced readability. Its local processing model makes it particularly suitable for sensitive data.

  • AI Developers and Engineers: For preparing documents, images, and web pages for AI and RAG pipelines, ensuring clean, structured input and reducing token usage.
  • Professionals with Privacy Concerns: Executive Assistants, CEOs, Senior Directors, and individuals in legal, accounting, HR, and healthcare who handle sensitive documents and require local processing to prevent data exposure.
  • Automation Specialists: For standardizing document output across various file formats (PDF, Microsoft Word, Microsoft Excel, images, web pages) into consistent Markdown and structured JSON for automated workflows.
  • Markdown Users: Individuals and teams who benefit from converting complex documents into readable and searchable Markdown for documentation, knowledge bases, or personal organization.
  • Everyday Document Users: Anyone needing to make documents more readable, searchable, or to convert them into a more versatile format for various applications.

how to use

How to Use Sygal

Sygal is a desktop application for macOS and Windows, designed for straightforward document conversion. Users can import various file types and web content, then convert them into Markdown or JSON with options for local processing and OCR.

  • 1Download and install the Sygal application on a macOS 12+ or Windows 10+ system.
  • 2Launch the application and utilize the drag-and-drop interface to import documents, images, or folders containing compatible files.
  • 3Select the desired input file(s) from the local library within Sygal.
  • 4Choose the output format (Markdown or JSON) and configure any specific conversion settings, such as OCR options for images or PDFs.
  • 5Preview the converted content within the application to ensure accuracy and make any necessary edits.
  • 6Export the clean, AI-ready Markdown or structured JSON to your local machine.

pricing

Sygal Pricing & Plans

Sygal operates on a one-time purchase model, offering a single 'Launch Offer' tier. A 14-day free trial is available without requiring credit card information, allowing users to evaluate the software before purchase. The pricing structure is designed for direct ownership and local processing without recurring subscription fees.

  • Launch Offer: €25 (one-time purchase)

Pros

  • +100% on-device processing ensures maximum data privacy for sensitive documents.
  • +Converts 29 diverse formats, including PDF, Microsoft Word, Microsoft Excel, and web pages, into clean Markdown and structured JSON.
  • +Significantly reduces token usage and improves efficiency for AI models and RAG pipelines.
  • +Includes a 14-day free trial without requiring credit card information.
  • +Offers local OCR capabilities for images and scanned documents, including embedded content.
  • +Provides a consistent, standardized output format for various document types, simplifying workflows.

Cons

  • −As a desktop application, it requires installation and is not browser-based.
  • −The 'Launch Offer' is a one-time purchase, which may not appeal to users preferring subscription models.
  • −OCR for images or specified URLs may still involve external AI providers, depending on user choice.
  • −As a relatively new tool, it has limited public user reviews and community feedback as of early August 2026.
  • −Currently, the team size is one, which might impact the pace of future development or support.

Similar Tools

Sygal vs Competitors

Sygal distinguishes itself in the document conversion landscape through its emphasis on local processing, structured JSON output for AI, and broad format support. It competes with various tools that offer document conversion, OCR, or AI preparation capabilities.

1
Pandoc↗

It is a universal command-line document converter that supports a vast array of input and output formats, including Markdown, HTML, LaTeX, and Word documents.

Unlike Sygal, Pandoc is a command-line tool, requiring a different workflow. While it can convert many document types to Markdown, its JSON output is typically for its internal Abstract Syntax Tree, not necessarily content-focused structured JSON for AI consumption like Sygal offers.

2
MDFlux↗

This is a local desktop application for Windows that converts a wide range of documents, including PDFs, Word, Excel, PowerPoint, images, and even audio, into clean Markdown, with local OCR for scanned documents.

MDFlux offers a similar local desktop app experience to Sygal and handles a broader set of input formats. However, its primary output is Markdown, and it does not explicitly offer structured JSON output for content in the same way Sygal does.

3
Nougat↗

Developed by Meta AI, Nougat is a Transformer-based OCR model specifically designed to convert complex scientific PDFs, including those with math equations and multi-column layouts, into Markdown.

Nougat excels at converting scientific documents and images to Markdown with high fidelity, especially for complex layouts, which Sygal also handles. However, it is a model/library requiring more technical setup than a typical desktop application, and it focuses on Markdown output rather than structured JSON.

4
GetMarkdown↗

It offers a zero-setup, browser-based conversion of various document types (PDF, Word, Excel, images, HTML, audio) to structured Markdown, with all free-tier processing happening entirely client-side.

GetMarkdown provides a convenient, fully local, browser-based alternative, eliminating the need for a desktop app installation like Sygal. While it delivers structured Markdown, its free tier has file size and batch limits, and it does not offer structured JSON output for content.

See every Sygal alternative, compared→

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

RoastMeKsumiyoPromptBase.artStruxyTranscastMintixLead
Visit Sygal↗