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Fast360

Free plan available

First Open Source OCR Model Arena, Specialized in PDF to Markdown

Image upload
Pdf to markdown
Ocr model comparison

About Fast360

Launched Aug 19, 2025

Categories

Email :

[email protected]

Industry :

Vertical

Website Github

Introduction Video

Description

First Open Source OCR Model Arena, Specialized in PDF to Markdown

Upload PDF or images for free, compare 7 top-tier OCR models with one click. Fast360 is the industry's first open source OCR model arena, helping you find the best PDF to Markdown solution for different scenarios.

Fast360 Key Features

  • 🧠 Multi-Model Parallel Processing: Upload once and distribute the document to multiple independent OCR engines for parallel processing, significantly shortening the evaluation cycle.
  • 📝 Optimized for Markdown: Focused on generating structured, code-friendly Markdown. We pay special attention to preserving heading levels, lists, tables, code blocks, and LaTeX formulas.
  • 🔬 Covers Diverse Scenarios: From clean text optimized for RAG to preserving complex layouts in academic papers and digitizing handwritten notes, you can test all scenarios in one place.
  • 💸 Free & No Registration Required

Fast360 Use Cases

  • Specializes in extracting clean Markdown from PDFs, removing headers, footers, and other noise.
  • Academic papers, with good support for LaTeX formulas and multi-column layouts.
  • Adopts a "layout-first" strategy, analyzing page structure at high speed for excellent table and figure parsing.

Pros

  • Open source platform allows for transparency and community contributions.
  • Supports multiple OCR models for comparison, helping users find the best solution for their needs.
  • Specialized in converting PDF to Markdown, a useful feature for developers and document creators.
  • Provides a free service for uploading PDFs or images for OCR analysis.
  • User-friendly as it requires only one click to compare OCR models.

Cons

  • Limited to OCR tasks, which may not be suitable for users seeking broader document processing features.
  • Possible performance variations depending on the chosen OCR model, which may require users to try multiple models to find the best fit.
  • Lack of advanced editing or customization options post OCR conversion might be a limitation for some users.
  • As an open-source app, there may be concerns about consistent updates and support.

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