Mathpix
Specialized OCR and document processing API for mathematical content. Mathpix converts images, PDFs, and handwritten math into LaTeX, MathML, Markdown, and structured formats with best-in-class accuracy for equations, tables, chemistry diagrams, and scientific notation. Also offers Snip (iOS/Windows app) for converting photos of math to LaTeX. Critical for RAG applications over scientific papers where math equation fidelity is required.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
HTTPS enforced. API key pair (app_id + app_key) for authentication. Uploaded documents processed on Mathpix servers — review data retention policy for confidential scientific documents. US-hosted — consider for GDPR compliance.
⚡ Reliability
Best When
You're processing scientific papers, textbooks, or handwritten math where equation accuracy is critical — standard PDF parsers produce garbled LaTeX.
Avoid When
You're processing business documents, invoices, or non-scientific PDFs — cheaper general OCR tools will perform as well at lower cost.
Use Cases
- • Convert scientific PDFs with complex mathematical equations to LaTeX or Markdown for RAG and LLM ingestion
- • Extract structured data from academic papers, textbooks, and technical documents with accurate math/chemistry notation
- • Convert handwritten math from images to LaTeX for STEM education applications and agent pipelines
- • Process large volumes of scientific literature (arXiv papers, textbooks) for training data preparation with accurate equation representation
- • Build RAG systems over technical documentation where equation accuracy matters — standard PDF parsers corrupt math symbols
Not For
- • General OCR for non-scientific documents — AWS Textract, Google Document AI, or Azure Form Recognizer are more cost-effective for business documents
- • Tables in non-scientific contexts — specialized table extraction tools handle business tables better
- • Very high-volume, cost-sensitive pipelines — Mathpix pricing per page can add up at scale
Interface
Authentication
app_id and app_key pair in HTTP headers. Keys generated in Mathpix dashboard. No scope granularity — single key pair grants access to all API methods.
Pricing
Usage-based per API call. Free tier limited to 1000 requests/month — sufficient for development. Production pipelines over scientific literature can incur significant costs at $0.004/page.
Agent Metadata
Known Gotchas
- ⚠ Large PDFs require async batch processing (pdf endpoint) rather than page-by-page conversion — use the right endpoint for your use case
- ⚠ LaTeX output may use custom macro definitions — downstream LaTeX rendering must support standard LaTeX
- ⚠ Mathpix MMD (Mathpix Markdown) format is different from standard Markdown — check output format compatibility with your downstream pipeline
- ⚠ Chemistry structures (SMILES notation) require enabling chemistry features in API request options
- ⚠ Very complex multi-column PDFs may have column order issues in text extraction — verify output for two-column scientific papers
- ⚠ Processing cost scales with PDF page count — for books or large technical documents, plan budget carefully
- ⚠ API calls include base64-encoded image/PDF data — large documents require chunking or file URL upload for efficiency
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Mathpix.
Scores are editorial opinions as of 2026-03-06.