mathra
Math LaTeX to accessible SVG, without a TeX install. Every SVG carries the phrase a screen reader says, in 16 languages, and draws with the STIX Two Math font embedded, so it looks the same everywhere. Try it in the browser.
pip install mathra
Wheels for Linux, macOS and Windows, for Python 3.9 and later; nothing else to install.
Usage
import mathra
svg = mathra.tex_to_svg(r"x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}")
open("quadratic.svg", "w", encoding="utf-8").write(svg)
r = mathra.render(r"\frac{3}{4}", locale="fr")
r["speech"] # 'trois quarts'
r["warnings"] # [] — broken LaTeX is drawn anyway and reported here (E-REC-*)
mathra.tex_to_svg(r"\sum_{n=1}^{\infty} \frac{1}{n^2}", display=False) # inline style
mathra.tex_to_svg(r"\vertA\vert", strict=True) # ValueError, like TeX
mathra.render("sqrt(x)/2", input="asciimath")["speech"] # also input="mathml"
tex_to_svg(tex, locale="en", *, display=True, strict=False, input="latex", braille=None) |
The SVG as a string. |
render(tex, locale="en", *, display=True, strict=False, input="latex", braille=None) |
A dict: svg, speech, text, braille, braille_code, tree, applied, warnings. |
tex_to_tree(tex, locale="en", *, display=True, strict=False, input="latex", braille=None) |
The tree of meaning as JSON. |
locales() |
[{"code": "en", "name": "English"}, …]: en, pt-BR, es, fr, de, it, ru, zh, ja, ko, hi, ar, id, tr, nl, pl. |
input is "latex", "mathml" or "asciimath"; MathML passed as LaTeX, starting with <math, is recognized on its own. braille is "cmu" or "nemeth"; by default the locale's (CMU in pt-BR and es, Nemeth elsewhere). Errors are ValueError. Types are included (py.typed).
What it draws
Every image below is an SVG written by mathra, on a white card so it reads well on dark pages.
 Quadratic formula |  Gaussian integral |
 Matrix with dots |  Piecewise definition |
 Chemistry ( \ce) |  Units ( \SI) |
 Maxwell's equations | |
What the SVG carries
Speech in <title> linked with aria-labelledby, the source equation and the tree of meaning in <metadata>, color from the page (currentColor), size in em, a selectable text layer and ids unique to each equation. The same input always gives the same bytes, in Python and in every other package.
Also for JavaScript, Rust and the terminal
The same core is an npm package (@mathlabs/mathra), a Rust crate and a command-line tool: github.com/matheusmota-dev-br/mathra. Rules, languages and the full list of supported commands are there too.
License
The code is MIT or Apache-2.0; the embedded STIX Two Math font is under the SIL Open Font License 1.1.
1 maintainer
Metadata
1 maintainer
Release files for mathra 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mathra-1.2.0.tar.gz | 1.3 MB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| mathra-1.2.0-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details |
| mathra-1.2.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| mathra-1.2.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| mathra-1.2.0-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details |
| mathra-1.2.0-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 9.1 MB
Release files / mathra-1.2.0.tar.gz
| Download URL | mathra-1.2.0.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a5287be0f5f5b1b41e1ff979c65a9196ea7d13412f75182401246ab4bf46f55e
|
|
BLAKE2b-256 checksum How to use checksums |
debd9a7b967d0acf297f8cea21406c1cc643d640607d10c8fdaded914b9eba0b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logRelease files / mathra-1.2.0-cp39-abi3-win_amd64.whl
| Download URL | mathra-1.2.0-cp39-abi3-win_amd64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.9 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
2b514448d87194b29adde4d06f484bb855f0332655062b24ee8be480ea120352
|
|
BLAKE2b-256 checksum How to use checksums |
7d032f108d9189121f37e87705fc12db29377fedec0c03af0cec1f6f520860c4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logRelease files / mathra-1.2.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | mathra-1.2.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
5ff0081257f8702a2ef004ff084d727f79abe68bb1b698b3bd9227bdffe18239
|
|
BLAKE2b-256 checksum How to use checksums |
4dde1446b9dd3181ec08a700b22e3bb0ae4cc868ff168b029766f0d3f823e20f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logRelease files / mathra-1.2.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | mathra-1.2.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
a4a5ad9e3d1eedc608f1c1b4a51997739d74f953296330b29aa1cebb83aa6fb9
|
|
BLAKE2b-256 checksum How to use checksums |
ccb21ec2489c672dec461b47b5218f6a99ad916a8b9fca9562dcb0c7848b4ac8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logRelease files / mathra-1.2.0-cp39-abi3-macosx_11_0_arm64.whl
| Download URL | mathra-1.2.0-cp39-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.9 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
3844758aa89df1c0a6047cbbff6ebe500431a362b6724f95aaa80f58a871ab31
|
|
BLAKE2b-256 checksum How to use checksums |
2c167ea63d9565c4ab9fea34a34b7726cb8eef4b936a9de9e5ceff68538ffc48
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logRelease files / mathra-1.2.0-cp39-abi3-macosx_10_12_x86_64.whl
| Download URL | mathra-1.2.0-cp39-abi3-macosx_10_12_x86_64.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.9 abi3 macOS 10.12+ x86-64 |
|
SHA-256 checksum How to use checksums |
2db626a4bcb3892ed1083f61411c2530db17eec35ecf6ff0ca636a4d29a28550
|
|
BLAKE2b-256 checksum How to use checksums |
337a1b4db759049ebfd6e2d9fc8182b70027b78012362fa208e9cde690d1558e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logSecurity for mathra 1.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 6 files in this release have been uploaded with provenance metadata.
Attestation for mathra-1.2.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
