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Mathpix
Techstars '18Santa Monica, US · Founded 2016 · 38 employees on LinkedIn · 2 known investors
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Mathpix develops AI-powered document conversion technology that recognizes handwritten equations, tables, chemical structures, and multilingual text. The platform serves millions of individual users and thousands of enterprises needing to digitize and make documents searchable.
Also known as Mathpix Snip · Mathpix, Inc
Founders & leadership
Mathpix was founded in 2016 by Kaitlin Jimenez.
Investors · 2
How we know: the Techstars portfolio · funding news · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
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Company profile
researched Sep 2026Mathpix provides optical character recognition (OCR) and document conversion technology that converts PDFs and images into searchable, exportable, machine-readable text. Its recognition capabilities cover STEM-specific content including mathematical notation, chemical structures, handwriting (printed and cursive), tables, digital ink, source code, and multiple languages, with outputs such as LaTeX, Markdown (including its own Mathpix Markdown format), MathML, AsciiMath, DOCX, HTML, TSV/CSV, and chemistry formats such as SMILES, InChI, InChIKey and MOL.
The product line spans developer APIs (OCR API, Files API for high-throughput asynchronous processing, streaming PDF OCR, webhooks, a Python client mpxpy, and an open-source command-line tool mpx) and end-user applications: Snip, a Markdown-based collaborative editing and document conversion web app; desktop Snipping Tools for macOS, Windows and Linux that OCR screen content to the clipboard; mobile apps; and a Chrome extension. Enterprise offerings include Private Cloud OCR, an on-premise PDF cloud, and a Secure Conversion Service positioned for converting large PDF and image libraries at a rate of millions of pages per hour, including for training and tuning machine learning models.
Stated use cases include document accessibility, chemical document processing, document collaboration, academic research support, and language-model training data preparation, targeting sectors such as artificial intelligence, fintech, edtech, pharmaceutical and chemical companies, and universities and schools.
Business model
Mathpix sells software products through published pricing tiers for its Snip app, APIs, Private Cloud OCR and Secure Conversion Service, combining self-serve subscriptions for individual users with enterprise and quote-based arrangements for high-volume document conversion.
Subscription plans for the Snip application (including an educational plan with 100 free snips and 35 PDF pages per month, and a yearly Pro subscription priced at $49) alongside usage-based API pricing for image and PDF conversion, plus enterprise contracts for private cloud and bulk conversion services.
Traction
The company reports more than 5 million users globally, over 3,000 organizations, more than 50 billion PDF pages converted and more than 5 billion images converted. The Mathpix Snip Android app has over 100,000 downloads and a 4.6-star rating across about 3,220 reviews on Google Play.
Latest developments
Recent releases include lower Image API pricing (effective March 2025), a new layout model with document-tree outputs and chart/diagram text parsing (April 2025), the mpxpy Python client with DOCX/PPTX/EPUB support (May 2025), API speed improvements (July 2025), SuperNet-105 figure-label linking (August 2025), optional two-factor authentication (August 2025), new HTML/MMD/MD ZIP export formats (September 2025), SuperNet-108 with Greek and Georgian language support (November 2025), the Files API for high-throughput asynchronous processing (June 2026), SuperNet-200 with nested lists and pseudocode support (July 2026), EU data residency via eu.api.mathpix.com (July 2026), a webhooks implementation (August 2026) and the open-source Mathpix CLI (September 2026).
▸Full profile — market position, technology, go-to-market, geography
Market position
Mathpix positions itself around deep STEM document functionality — math, chemistry, handwriting, tables and multilingual recognition — combined with full-document PDF conversion for both developer and enterprise workloads.
Differentiators cited by the company include STEM-specific recognition (mathematics, chemical structures including stereochemistry and Markush structures, tables and handwriting), a broad set of export formats such as LaTeX, Markdown, DOCX and chemistry formats, dedicated high-throughput conversion capacity, and deployment options covering private cloud, on-premise and EU data residency.
Technology
Mathpix operates proprietary OCR models, publicly versioned under the SuperNet name (for example SuperNet-105, SuperNet-108 and SuperNet-200), which add capabilities such as linking figure labels to figures, Greek and Georgian language support, improved results on degraded scanned documents, nested lists, pseudocode environments and reduced hallucination. Supporting infrastructure includes a document layout model with document-tree outputs, parsing of text inside charts and diagrams, a streaming API using server-side events for lower-latency PDF OCR, webhook callbacks for asynchronous job completion, an EU-resident API deployment (eu.api.mathpix.com), on-premise and private cloud deployment options, and open-source clients (the mpxpy Python SDK and the mpx CLI).
Go-to-market
Researchers, students, academics and STEM professionals using the Snip and Snipping Tool apps; software developers integrating the OCR and Files APIs; and enterprises in artificial intelligence, fintech, edtech, pharmaceutical and chemical industries, plus universities and schools.
Geography
Mathpix, Inc lists a United States address at 60 Broadway Ste 6, Brooklyn, New York. It serves users globally, offers an EU-resident API deployment, and its Snip web app is localized into 14 languages including French, German, Spanish, Korean, Japanese, Chinese and Russian.
Compiled by commissioned research from 6 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Competitors · 3
by search overlap
Companies competing with Mathpix for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 21
launches, deals, and filingsOpen-source command-line tool for running OCR and converting files or folders to Markdown, DOCX, LaTeX and other formats.
Callback URL support providing notifications when a document or job finishes, removing the need to poll.
A fully EU-resident deployment of the Mathpix OCR and document processing API, keeping documents, results and derivatives within the EU.
New recognition capabilities with fewer hallucinations and more robust page parsing.
High-throughput asynchronous document processing at scale with lower cost per page.
Model release with new language support and improved results on challenging scanned documents.
Optional 2FA added for all Mathpix accounts via authenticator app or code delivery.
Model release linking figure labels directly to diagrams, charts and tables.
Open-source Python client for converting PDFs, documents and images into JSON, Markdown, DOCX, LaTeX and other formats.
New layout model, document tree outputs, and parsing of text inside charts and diagrams for the image and PDF API.
Simplified and reduced pricing for the Image API.
Server-side events used to reduce latency for real-time PDF applications.
Support for converting PDFs to DOCX, Markdown, LaTeX and other formats added to the Snipping Tool desktop apps on Mac, Windows and Linux.
Mathpix Console launched as a platform to manage access to Mathpix APIs, including a new dashboard.
Initial support for source code recognition from images and PDFs, with optimized search features.
Images can be converted to InChI, InChIKey and MOL formats, with improved handling of SMILES and other chemical formats.
The Snip web app became available in French, German, Spanish, Korean, Japanese, Chinese, Russian and other languages.
Price reduction for the PDF API, plain Markdown outputs from PDFs for use with language models, and faster PDF processing.
An update to the chemistry recognition algorithm added support for complex chemical structures.
Mathpix introduced an advanced algorithm for parsing large tables, along with AsciiMath fixes and improved formatting and PDF processing.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 6
primary sources listed
- Mathpixmathpix.com · web
6 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Mathpix do?
- Mathpix builds OCR and document-conversion tools that turn PDFs, images and handwriting into machine-readable text.
- Who founded Mathpix?
- Mathpix was founded by Kaitlin Jimenez in 2016.
- Who are Mathpix's investors?
- Mathpix's investors include Techstars, Reach Capital.
- Where is Mathpix headquartered?
- Mathpix is headquartered in Santa Monica, US.