Skip to content

v0.8.1

Latest

Choose a tag to compare

@github-actions github-actions released this 30 Oct 22:21
· 3 commits to main since this release

Which file do I download?

file who it is for what it does
transcript-normalizer-0.8.1-<system>-lite anyone who just wants to use it fetches the platform's captions and fixes domain terms; opens a menu when double-clicked
transcript-normalizer-0.8.1-<system>-full (macOS, Linux) anyone who also has videos without captions, or audio files everything lite does, and also transcribes audio on your computer (the first time, it downloads a 1.5 GB speech model). On macOS, a .zip: unzip, then open transcript-normalizer inside the folder. On Linux, a .tar.gz of a folder: extract it, then run transcript-normalizer inside the folder. On Windows, full is the two files below
transcript-normalizer-0.8.1-windows-full-setup.exe Windows, full: the installer choose where it goes (for you only, no administrator needed, or for all users); Start menu shortcut; clean uninstall from "Add or remove programs", which keeps your files
transcript-normalizer-0.8.1-windows-full-portable.zip Windows, full: portable unzip anywhere, e.g. a USB drive, and open transcript-normalizer.exe inside the folder; everything (your files, settings, the speech model) stays in its data folder; delete the folder to remove it
transcript_normalizer-0.8.1-py3-none-any.whl, .tar.gz Python developers the package, for pip install

<system> is windows, macos (Apple silicon) or linux; Linux executables run on glibc 2.35 or newer (Ubuntu 22.04 and later). The executables are not signed, so Windows and macOS will warn the first time; the SHA-256 of every file is at the end of this page.

Qual arquivo baixar?

arquivo para quem o que faz
transcript-normalizer-0.8.1-<sistema>-lite quem só quer usar pega a legenda da plataforma e corrige os termos da área; abre um menu com dois cliques
transcript-normalizer-0.8.1-<sistema>-full (macOS, Linux) quem também tem vídeos sem legenda, ou arquivos de áudio tudo o que o lite faz, e ainda transcreve o áudio no seu computador (na primeira vez, baixa um modelo de fala de 1,5 GB). No macOS, um .zip: descompacte e abra o transcript-normalizer dentro da pasta. No Linux, um .tar.gz de uma pasta: extraia e rode o transcript-normalizer dentro da pasta. No Windows, o full são os dois arquivos abaixo
transcript-normalizer-0.8.1-windows-full-setup.exe Windows, full: o instalador você escolhe onde instalar (só para você, sem administrador, ou para todos os usuários); atalho no menu Iniciar; desinstalação limpa em "Adicionar ou remover programas", que mantém os seus arquivos
transcript-normalizer-0.8.1-windows-full-portable.zip Windows, full: portátil descompacte em qualquer lugar, por exemplo num pendrive, e abra o transcript-normalizer.exe dentro da pasta; tudo (seus arquivos, configurações, o modelo de fala) fica na pasta data dele; apague a pasta para removê-lo
transcript_normalizer-0.8.1-py3-none-any.whl, .tar.gz quem programa em Python o pacote, para pip install

<sistema> é windows, macos (Apple Silicon) ou linux; os executáveis de Linux rodam com glibc 2.35 ou mais nova (Ubuntu 22.04 em diante). Os executáveis não são assinados, então o Windows e o macOS avisam na primeira vez; o SHA-256 de cada arquivo está no fim desta página.


2026-10-30. Security updates of filelock and certifi in the executables; transcript-normalizer --version.

  • Security: filelock 4.0.1 → 4.2.1 and certifi 2026.7.22 → 2026.10.23 in uv.lock, so the executables are built with them. filelock (14 advisories, the worst high) comes with faster-whisper, in the full build only; certifi (one critical advisory, emSign root CAs with compromised intermediate keys) comes with curl_cffi, in the lite and full builds. The engine uses neither directly, and pip install resolves its own versions.
  • transcript-normalizer --version prints the installed version, on one line, and exits 0: the one the menu's first screen shows, from the package metadata, which the executables carry. It is in the help's USAGE and in both guides.
  • The tests run from a non-editable install (pip install .) too: the id of the included pack's test case no longer assumes the pack is inside the checkout, which stopped collection with a ValueError.

SHA-256

b1dca1edb88b462e1b5949ceac06f8a5eddca33ab1687785c7a366b1d443d330  transcript-normalizer-0.8.1-linux-full.tar.gz
08bed68b763d1444b81e813418fc1a687e1f059e0281cd2db1233ca77b37616f  transcript-normalizer-0.8.1-linux-lite.tar.gz
8e9af0bfc43a44fa03fb8008f691cb634bf5bdbaa158f90499044cf0baa820dc  transcript-normalizer-0.8.1-macos-full.zip
86fc5140353a1cd6369a3d43110fdc45938c8f055580e16c1593c66c7df4216d  transcript-normalizer-0.8.1-macos-lite.zip
bb3e6d5fd525a1a11d05b2df5a8d933d0ef62d5a383896b2880be4e374237f6f  transcript-normalizer-0.8.1-windows-full-portable.zip
6a3f2c05b579fdd1265c3eca30ff0ca6d4dbe457b1c69ff982a03c723f3316d6  transcript-normalizer-0.8.1-windows-full-setup.exe
ff460bc7682ffd30e37762bbd9103456282fd8619867ffa0fc3abd9559d82eb3  transcript-normalizer-0.8.1-windows-lite.exe
44aa3c63ad69fa562366bfe7a6f7ddb5569cb774d3a3a9b1f482cb4e5789a108  transcript_normalizer-0.8.1-py3-none-any.whl
964eba224f9f2289cb5157ed594db120b5af08a6531c7658f21fe093b8cb0873  transcript_normalizer-0.8.1.tar.gz