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Handwritten Math to LaTeX.

Academic Digitalization. Based on multi-modal large model (VLM) symbolic logic mapping, deeply analyze complex fractions, matrices, and calculus operators, achieving high-fidelity conversion of handwritten math formulas to rendering code.

Supports 80+ Formats

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Multi-Language Support · 110+ Languages

Output Format Excel (.xlsx) Basic OCR . No Table Structure
Word (.docx) Basic · Text Only
Excel (.xlsx) Basic OCR · No Table Structure
Text File (.txt) Plain Text · High Compatibility
Pro Only AI Batch & Merge
Word (.docx) High-Fidelity Layout
Pro Ultra
Excel (.xlsx) Finance-Grade Alignment
Pro Ultra
PowerPoint (.pptx) Dynamic Slide Rebuild
Standard Pro Ultra
Epub / Mobi / Azw3 Kindle · Auto De-clutter
Basic Pro Ultra
Markdown (.md) Auto Title Detection
Standard Pro Ultra
Enterprise AI Engine
Searchable PDF (Dual-Layer) VLM Engine · Text Layer · GPU Priority
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AI Enhancement Layout Analysis
VLM-Powered Math Equation OCR

From Paper Equations
Reconstruct to LaTeX Code

Using cutting-edge AI Math Formula Recognition Engine, accurately extract complex equations, instantly transforming handwritten drafts into standard editable LaTeX assets. Achieve academic digitalization, eliminating tedious code entry.

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MATH
\int_{a}^{b} f(x) dx
SOLVING
CODE
Matrix Reconstruction...
LATEX
\sum_{i=1}^{n} i^2
READY

High-Fidelity
Symbol Mapping

iLoveOCR deeply analyzes the structural geometry and operator logic of math manuscripts. Through VLM visual perception, we accurately recognize complex calculus, matrices, and Greek letters. The generated LaTeX code perfectly fits Overleaf and academic journal formatting, allowing you to complete paper editing instantly upon export.

Batch Convert Math Formulas

Support various complex handwritten math symbols, achieving extremely high-precision structured formula extraction.

MATH
Academic Hub

Math to LaTeX
Frequently Asked Questions.

In-depth guide on complex equation recognition, multi-line derivation merging, and math data privacy.

01 How to ensure the transcription integrity of handwritten complex formulas?

Our AI engine is specifically optimized for academic documents, ensuring structural integrity through: Operator structure recognition: Automatically identify superscripts, subscripts, fraction lines, and radical nesting relationships. Multi-line derivation merging: Intelligently parse and merge mathematical proof steps displayed across multiple lines. Zero-error LaTeX output: Ensure the exported LaTeX code has correct syntax and can run directly in compilers.

02 Does it support extracting formulas from entire pages of handwritten notes?

Fully supported. iLoveOCR can process handwritten note conversion mixed with text and formulas, automatically distinguishing text blocks from math blocks, and integrating all recognized formulas into standard LaTeX sequences for easy annual academic organization.

03 How is the security of sensitive research data like scientific manuscripts ensured?

We implement an "academic-grade privacy protocol". After formula conversion is complete, all generated image caches are immediately physically erased. We do not store or retain any research drafts, ensuring your research results privacy receive high-fidelity automated data security protection.