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v0.8.1 Latest

Latest

github-actions released this 30 Oct 22:21

v0.8.1

4e88cf6

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

Assets 11

v0.8.0

github-actions released this 30 Oct 20:20

v0.8.0

a1b9de3

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.8.0-<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-0.8.0-<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-0.8.0-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-0.8.0-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-0.8.0-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.8.0-<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-0.8.0-<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-0.8.0-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-0.8.0-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-0.8.0-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

2026-10-30. Terms that match only exactly, match: exact and case_sensitive (D-090); TRANSCRIPT_NORMALIZER_HOME moves config.toml too (D-089); financas-ptbr 0.4.0 included.

A pack term can match only exactly (D-090): match: exact turns off fuzzy, phonetic, inflection and number-word matching for that term, and case_sensitive: [forms] makes the listed forms match only in their own case and accents (Vale the company, not vale a pena). Packs without the field behave as before; a pack that uses it should declare min_engine.
TRANSCRIPT_NORMALIZER_HOME now moves config.toml too (D-089): with the variable set, the settings are read from and written to <folder>/config.toml, beside runs/ and packs/, as in the portable folder, and the user settings folder is not touched. Without it nothing changes.
The test that packs/ holds no curated pack checks only the files git tracks there, so a pack installed locally (user data, D-088) no longer fails it; without git it is skipped, with the reason.
Settings now says where it saves: in <folder>/config.toml with TRANSCRIPT_NORMALIZER_HOME set, in the portable folder's config.toml in portable mode, and in your user settings otherwise. It said "saved in your user settings" in all three.
The included pack is now financas-ptbr 0.4.0, the packs repository's (it was 0.3.8): 0.3.9 took out 32 variants that are ordinary words or phrases, too short, or another term's (D-032), and 0.4.0 adds 282 listed companies with match: exact and takes out two aliases of more than 3 words, which never match. It declares min_engine: "0.8.0". With it, against the fixtures' gold: R2Qgz8tFWVI 145 → 123 hits, false positives 13 → 12; wxgFO_fyfXg 211 → 168, 8 → 3; 4tTmY8Buask 108 → 105, 4 unchanged; 4wCtn8BWR4o unchanged (44, 2). All of the change comes from 0.3.9; 0.4.0 measures the same as 0.3.9. The fixtures' frozen packs, and so the regression bounds, are unchanged.

SHA-256

996a032244a8232c8a0daad0f7755860899ad662405cd790a493e0857f4e1598  transcript-normalizer-0.8.0-linux-full.tar.gz
02a34e726d744fd6d8a0433ad7350639b0363495879b26dad16d1624cbd12f5d  transcript-normalizer-0.8.0-linux-lite.tar.gz
0d526c92894f219663cc7b5589ef74b87c35c4c4c7b78fe8d64ed1d42c2d9de7  transcript-normalizer-0.8.0-macos-full.zip
2516f532d47273405b011a82c7a6f18ff1518cb56e5d7ca29b59ed7d6d4b455a  transcript-normalizer-0.8.0-macos-lite.zip
3b6c6aef5f8751a15482a714d9011d98fe777881417b808ced5948aa57ed4c99  transcript-normalizer-0.8.0-windows-full-portable.zip
abe88adb37217de4a52939c945e931fdd38bb73b30fe0d3b8fc3db77a6d3f2a4  transcript-normalizer-0.8.0-windows-full-setup.exe
5d3128a9177000545efcba709a22745e5833e35c13dcfe277d438d98f7ee11f6  transcript-normalizer-0.8.0-windows-lite.exe
e924ed8c195969778c916d2983e302c7d00c0e7db2895c66ebc9afdd6a81d711  transcript_normalizer-0.8.0-py3-none-any.whl
1f0b21a0f85b5bf8fb9ade4d0d4a4a32ddbce5ee80c17ea1413a62c306446694  transcript_normalizer-0.8.0.tar.gz

Assets 11

v0.7.0

github-actions released this 20 Oct 03:45

v0.7.0

ef025de

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.7.0-<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-0.7.0-<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-0.7.0-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-0.7.0-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-0.7.0-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.7.0-<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-0.7.0-<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-0.7.0-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-0.7.0-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-0.7.0-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

Context-conditioned variants: a form that counts only where other terms of the pack appear (D-086); packs that say which engine they need, min_engine (D-087); no pack installed by default: the bundled one is included, installed when chosen, offline (D-088).

The pack shipped inside the program, financas-ptbr, is now included, not installed (D-088). A fresh data folder has no pack installed, and the first screen says "No pack installed yet: you will be asked what the video is about." "What is this video about?" lists the installed packs, then the included ones marked "(included, not installed)", then the packs repository's marked "(from the packs repository)" when it answers, then "Create your own from a template…" and "None / another area"; picking a pack that is not installed installs it, with one line, and normalizes. pack install financas-ptbr works offline (--included skips the repository altogether) and writes the same record as a download, so pack update and pack merge treat it the same; pack update also installs a newer included version after an upgrade, offline. pack list shows installed, included and repository packs, each marked, and still lists the first two when the repository is not reached. Packs → Installed packs shows only installed ones; Get a pack lists included and repository packs, included first; "The pack offered first" appears only with a pack installed, and with one it is that one. Anyone with a pack in packs/ (installed or a copy) sees no change; normalize --pack on the command line still falls back to the included pack.
A pack can say which version of transcript-normalizer it needs (D-087): min_engine in the packs index and in the pack file. pack list shows a pack this version cannot use with the reason ("financas-ptbr 0.3.8 needs transcript-normalizer 0.7.0 or later (this is 0.6.5)"); pack install, pack update, the menu's Get a pack and its look for merges never install or offer it; a pack file copied by hand that needs a newer version is refused when loaded, with that line, instead of being half-understood. The index may list a pack in several versions: the newest this version can use is taken, and versions up to 0.6.5 keep the last one listed, so the packs repository can publish financas-ptbr 0.3.8 without older installs getting it.
financas-ptbr 0.3.8: OPEX gets Ox back as a variant, only in a video where CAPEX appears (D-086), its first context-conditioned form. R2Qgz8tFWVI regains its three Ox → OPEX rows (142 → 145 hits, false positives unchanged); the street-prank video where Ox was the Northeastern oxe gets nothing. The guides have a paragraph on words that are only an error near other words, and CONTRIBUTING section 2.3a says how to write a context.
Writing a context (D-086): pack add-term ... --variant <form> --context <terms> [--unless-near <terms>]; the menu asks, after each variant, whether it is also an ordinary word and which pack terms mark its meaning; the review, after "only in this video", offers to save the form for every video where one of the run's terms appears. A pack whose context names an unknown term or an ordinary word is refused on load. pack propose keeps the context.
A pack form can now depend on context (D-086): context: {Ox: [CAPEX]} makes Ox count as OPEX only in a video where CAPEX appears, at least twice (once: asked, not applied; never: not proposed), and unless_near: asks instead of applying when another term is within 90 seconds. Context terms are found only exactly, never by similarity. Packs without it behave as before.

SHA-256

4bfc8336e4328fd7ff35100df22917931b4c5ca839db76fa384b825774583918  transcript-normalizer-0.7.0-linux-full.tar.gz
d2dac932aff6a1de6ab0137b797f1283439ab1aeb128440b461eea6d4d2b2cc7  transcript-normalizer-0.7.0-linux-lite.tar.gz
41d393cb16b5b22a14be5bb2df5ff2e4155d57fada97acc44e668aff66024470  transcript-normalizer-0.7.0-macos-full.zip
42fd8bfa51d09c32738b26c6192fbb4cd303dfd7263281c974f6ba60db0d44a8  transcript-normalizer-0.7.0-macos-lite.zip
4937bce0edf8f4cf0046441d050951844a4c606ab180e6bb4c4ed3334f7d8e83  transcript-normalizer-0.7.0-windows-full-portable.zip
25ae4330b719f5f0f9a888430052b73bd7caae590ff15e93e5fdb8541e590968  transcript-normalizer-0.7.0-windows-full-setup.exe
3f271e36726890716cec4c40debee5b882c9aac9ad4c422bf2f185b7371fc55c  transcript-normalizer-0.7.0-windows-lite.exe
a7858d7134280b2d761b9642d5cb4a37179b9265664f0b917a1b01b9d0b14b8d  transcript_normalizer-0.7.0-py3-none-any.whl
da26b55548b9f0817c13f76fcbf6149707268aedefd916658b9751c91dd626d1  transcript_normalizer-0.7.0.tar.gz

Assets 11

v0.6.5

github-actions released this 13 Oct 23:47

v0.6.5

490f336

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.6.5-<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-0.6.5-<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-0.6.5-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-0.6.5-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-0.6.5-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.6.5-<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-0.6.5-<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-0.6.5-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-0.6.5-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-0.6.5-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

Other sites besides YouTube: their sign-in, login walls and missing captions (D-078, D-079); a review with one stop per form where Enter decides nothing (D-072, D-073); the caption in the video's own language, the channel's own first (D-080, D-081); fewer wrong guesses, from a common-word guard and number words matched as digits (D-083, D-084); applied and suggested counted apart (D-082, D-085).

"applied, please confirm N" now counts only the close guesses that are in normalized.txt; names found by sound, which are never applied until you confirm them, have their own line, "suggested, not applied M", in the summary, the menu and report.txt (D-085, amending D-082).
Number words from 2 to 20 match their digits (D-084), in Portuguese and English: "BOVA onze" is found as BOVA11, "nove" matches 9, "nine" matches 9. Only for matching: the text is never rewritten from it. "um", "uma" and "one" are not folded.
A close guess (fuzzy match) is no longer made when its words include an ordinary word the term does not have (D-083): "impressora que" is left alone instead of becoming "impressora 3D"; "BR Portness" → BR Partners and "fluxo de caixo" → fluxo de caixa still are. Exact, alias and phonetic matches are unaffected. On the fixtures no hit is lost and false positives go from 14 to 12 and 53 to 51 (frozen packs), 15 to 13 and 9 to 8 (bundled 0.3.7); about a third of the low-confidence marks go too.
"to confirm N" is now "applied, please confirm N", in the summary and in the report (D-082): the close guesses are already in normalized.txt. The help and both guides say so, and that the review can undo them. The counts are the same.
In the video's original language, a caption written by the channel is now taken before YouTube's automatic one, by fetch and as the menu's default (D-081, provisional, amending D-045). The order: the channel's own in the original language, the original audio's automatic one, other languages written by the channel, then automatic dubs and translations. --track still takes exactly the track named. None of the four fixtures has a manual track, so nothing changes for them.
fetch without --lang takes the video's own language, as the site reports it, instead of always pt (D-080). When the site does not say: the video's only original-audio track, else its only manual track, else pt, with a line saying the language is unknown. --lang still wins.
A link the downloader does not support says "This site isn't supported. Download the video another way and use 'A file on this computer'." instead of yt-dlp's "Unsupported URL" and a failure line (D-079).
A site that gives no duration (Instagram) shows "duration: unknown" instead of "0min00s"; after transcribing, the audio's measured length is shown and written to meta.yaml, which now records the duration whenever it is known (D-079).
fetch on a site with no captions at all says " doesn't provide captions for this video." instead of "there is no caption in 'pt' … (manual: none; automatic: none)"; the detailed line stays when there are captions in other languages (D-079).
"How does this work?" in the sign-in list now speaks of any site: YouTube's check usually depends on the connection, Instagram's and Facebook's often on the video. Both guides say Kwai is not supported (yt-dlp has no extractor for it).
Other sites (D-078). The sign-in is now "Sign-in (your browser's login)" and is used for every site, not only YouTube; a setting saved under the old name still works. A site that asks for a login (Instagram, Facebook, TikTok, X, Vimeo, private or followers-only videos) is said plainly: "Instagram asked you to sign in for this video.", or, when a sign-in is already set, "The browser you chose (Firefox) may not be signed in to Instagram. …", with the same ways out as YouTube's bot check (exit code 3).
A link with no captions (most sites other than YouTube) goes straight to transcribing in the full build; the lite build says " doesn't provide captions for this video. The full build can transcribe its audio on this computer." and stops, with no error.
The downloaded audio is now deleted once the transcription is written; Settings → "Keep the audio after transcribing", or fetch --keep-audio, keeps it in the run folder as <video id>.<ext>. Until now it stayed as audio.<ext>.
fetch --list <url> is a quick check of a link on any site, without downloading: site, title, duration, caption tracks or none, whether there is audio, and whether the site asked for a login.
After a review, only the questions that make sense (D-077): "learned layer written to …" appears only when the review changed it, and "Contribute what you taught the tool?" only when this review added or changed something there; answers that were all "only in this video" or "decide later" bring neither. "Add a term you noticed?" and "Open the folder?" are asked once each, in that order.
The YouTube sign-in list shows the browsers found on this computer (D-077), including Firefox from snap or flatpak on Linux: Firefox, one "Chromium-based browser" row (a short list when there are several), Safari on macOS, a cookies.txt file, None, and "How does this work?". The "usually cannot be read" warning on Chromium-based browsers appears on Windows only.
The review no longer rejects by Enter (D-072). A real review of 4tTmY8Buask rejected two terms when the user pressed Enter to skip a screen. The menu's review and normalize --review now stop once at each uncertain form, in the order of the video, with one question whose default is "Decide later": "Yes: this is (fix it from now on)", "Yes, but only in this video", "This is , said that way (recognise it, keep the text)", "No: this is not ", "Decide later". Only "No" rejects. Each stop shows the line before, the line with the form highlighted and the line after, the other times the form occurs, and a link that opens a YouTube video at that moment. Nothing is written until the end: a summary ("will remember … rejected … only in this video … left for later") and "Save these answers?"; no discards them all.
"Only in this video" (D-073): kept in runs/<id>/local-decisions.yaml and applied when that run is normalized; never in the learned layer, a pack or a contribution. --confirm gains o for it.
Dubbed videos (D-074): YouTube's automatic dubs add a caption track per dubbed audio. The video's own language is now the original: listed first and the default, the dubs named ", dubbed audio (automatic)", then English, then the rest. fetch --list shows them as dubbed:...

Assets 11

v0.6.4

github-actions released this 11 Oct 16:34

v0.6.4

f9b2f60

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.6.4-<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-0.6.4-<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 Windows, full is the two files below
`transcript-normalizer-0.6.4-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-0.6.4-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-0.6.4-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.6.4-<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-0.6.4-<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 Windows, o full são os dois arquivos abaixo
`transcript-normalizer-0.6.4-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-0.6.4-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-0.6.4-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

YouTube's bot check said plainly, and a YouTube sign-in for it (D-071); normalizing about three times faster with identical results; the menu no longer waits for the network at startup.

On Windows, pack propose --whole wrote the contribution file with Windows line endings, so it was not the pack file byte for byte; it is now copied as it is.
Test builds: the release workflow can be started by hand (Actions → release → Run workflow) on any commit. It builds and tests the same executables, named after the commit, and keeps them as workflow artifacts <sha>-<os>-<flavor>; no tag check, no Release. Tag pushes release as before.
--gold-draft, the old name of --corrections, is removed (D-023, amended); it was kept far longer than its one release.
Docs: the pip install lines point at v0.6.3 instead of v0.4.2, whose ingest extra lacked D-058's faster-whisper/av bounds. GUIDE §8 and the README's Status give the current measured numbers and name scripts/measure.py as their source. The ask band (D-060) is documented. Smaller fixes to sample output, the merge backup name, the phonetic classes in CONTRIBUTING and the release page's Windows full row.
Residue removed after the 2026-10 inspection (docs/INSPECTION-2026-10.md): the unused contains_words and its test, META_FIELDS, evaluate's two one-line wrappers; fits() is now what normalize and measure.py call. Tests share one bundled-pack fixture and cache the fixture's medium band, which they used to recompute per call.
Tests pin three matcher rules no test covered: D-047's ranking (a canonical term at 80 beats a variant at 84 for the same span) and the D-040 and D-049 guards, before and after overlap resolution, including the case that shows why they are needed (a rejection that removes the longer name). Matching is unchanged.
Normalizing is about three times faster, with byte-identical results: each caption window is compared only with the pack forms that can match it (its exact equals, and fuzzy forms within two letters of its length, D-005), and the phonetic pass no longer checks every window against every applied change, which made it quadratic in caption length. wxgFO_fyfXg (40 min): 2.29 s → 0.69 s; the same caption four times over: 13.2 s → 3.2 s.
The menu never waits for the packs repository at startup (D-069, amended). It looks for pack updates in the background, keeps the index for a day in packs/.index-cache.json (inside the folder in portable mode), and when a copy of yours can be merged it says so in one line and offers "Merge an update" in Packs, instead of asking "Merge?" on the first screen. Offline with a copy, the first screen went from 3.2 s to 0.2 s.
YouTube's bot check is said plainly (D-071). Instead of yt-dlp's raw "Sign in to confirm you're not a bot. Use --cookies-from-browser or --cookies", fetch says "YouTube asked to confirm you are not a bot. This depends on your connection, not on the video." (and, for an age check or a members-only video, that YouTube asks for a signed-in account), stops, and exits 3. The menu then offers: use your browser's YouTube sign-in (cookies), try again later, use a file from this computer, or back.
YouTube sign-in (D-071): Settings → YouTube sign-in takes a browser (Firefox first; Chrome and Edge on Windows usually cannot be read), a cookies.txt file, or none. fetch --cookies-from-browser <browser> and fetch --cookies <file> do the same for one run and win over Settings; in portable mode a cookies.txt in data/ is used without asking. config.toml keeps only the browser's name or the file's path; yt-dlp reads the cookies itself, and no file the tool writes holds one. A browser that cannot be read is named, with Firefox or a cookies.txt as what to try. Help and both guides have a "YouTube says I'm a bot" section with how to export cookies.txt.

SHA-256

bc38f92dae102a01b20d85a67c6cc888a02090fe4fc1fe97db14ede8a7f11c71  transcript-normalizer-0.6.4-linux-full.tar.gz
5914547c5287ec79a43774efc9e20467860b7932ff36941299714bf7a586c894  transcript-normalizer-0.6.4-linux-lite.tar.gz
810bf1dacbd1cf8b004c34d16b247c86afe468e12a31e47fd7117fb7fbba51be  transcript-normalizer-0.6.4-macos-full.zip
5aaa9cbfebf12bf75aef1866cefbf59e9db364026f36b9db68caca180c0efcfe  transcript-normalizer-0.6.4-macos-lite.zip
4355cc1f85a5a5cf498afd137909855d305df36b1744c9467ade742c1b015a9b  transcript-normalizer-0.6.4-windows-full-portable.zip
4dc9476b2b25e1ed104165105284c31957d1a4a0e6fbda3bbe04002158ee7289  transcript-normalizer-0.6.4-windows-full-setup.exe
618cad2e3f244b40320f364cc242b2c1717355fb74becc371d3d766619548468  transcript-normalizer-0.6.4-windows-lite.exe
72874d66475e2a55b530d5f545bc7a7cbe7b1132fa7dbb0282d4188929a82b50  transcript_normalizer-0.6.4-py3-none-any.whl
a8839f9eeaf6de0662a148a36554c30e5a6e35c0317a76d9598489239b34f99c  transcript_normalizer-0.6.4.tar.gz

Assets 11

v0.6.3

github-actions released this 08 Oct 23:16

v0.6.3

a43ae89

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.6.3-<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-0.6.3-<system>-full`	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
`transcript-normalizer-0.6.3-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-0.6.3-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-0.6.3-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.6.3-<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-0.6.3-<sistema>-full`	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
`transcript-normalizer-0.6.3-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-0.6.3-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-0.6.3-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

A Windows installer and a portable build (D-070). Nothing changes in how captions are normalized.

Windows full is now two downloads. -windows-full-setup.exe, an installer: choose where it goes, for you only (no administrator) or for all users; Start menu shortcut, optional desktop shortcut; a clean uninstall from "Add or remove programs" that keeps your files and says so. -windows-full-portable.zip: unzip anywhere, e.g. a USB drive, and delete the folder to remove it. The plain windows-full zip is gone; lite, macOS and Linux are unchanged.
Portable mode: with portable.txt beside the program (any build, lite too), everything stays in its data folder: runs, packs, settings, the speech model (HF_HOME), yt-dlp's cache and whatever its JavaScript runtime writes. Settings says "portable mode: everything stays in " and has no folder dialog. TRANSCRIPT_NORMALIZER_HOME still wins.
The release runner installs, runs and uninstalls the installer silently, and checks that the portable build writes only inside its folder.

SHA-256

6b4a7ebcfeb5491d10f2328e0e0426b17990dbe412080d97ee0c6fa266de30a4  transcript-normalizer-0.6.3-linux-full.tar.gz
db7875eab2fe5b2a7baa82d9e441fa614425eee7fdc185a6eb77ad7f52309f6a  transcript-normalizer-0.6.3-linux-lite.tar.gz
a2ad11ce52b413620feeafc89035e8889c260406a58c17cb13b6f0b40f992be7  transcript-normalizer-0.6.3-macos-full.zip
1e59bc9475a9a9d6770aeced5ed7e5de2387fe8332e1a0e79b23204cd7102642  transcript-normalizer-0.6.3-macos-lite.zip
83e01e2ec3c1cc47ac4df8c928f72d46d41a588554e3b7e1da8c72261ad6596c  transcript-normalizer-0.6.3-windows-full-portable.zip
8b984cc4fbbba3481c8eebaf5be3c7f55d06c22a338a432997c2005a4d6f99f7  transcript-normalizer-0.6.3-windows-full-setup.exe
344340237eeca7e18f0272b4fa1c43cbddb4735f12b44d7db41224ccbbbcd9e8  transcript-normalizer-0.6.3-windows-lite.exe
9b89c39b4125b961ded55466e29b2c4be97434fcdbe29e3050a52b04134bcbf3  transcript_normalizer-0.6.3-py3-none-any.whl
99d7caac4b2ed4a48f2165157b14917897d0d4fd81677d974e021e82be27ee0f  transcript_normalizer-0.6.3.tar.gz

Assets 11

v0.6.2

github-actions released this 08 Oct 22:52

v0.6.2

7808f78

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.6.2-<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-0.6.2-<system>-full`	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 Windows and macOS, a `.zip`: unzip, then open `transcript-normalizer.exe` inside the folder (`transcript-normalizer` on macOS)
`transcript_normalizer-0.6.2-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.6.2-<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-0.6.2-<sistema>-full`	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 Windows e no macOS, um `.zip`: descompacte e abra o `transcript-normalizer.exe` dentro da pasta (`transcript-normalizer` no macOS)
`transcript_normalizer-0.6.2-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

Three-way pack merge (D-069).

A copy of a pack (pack copy, or the menu's copy before editing) records based_on: <name>@<version> and local_edits, and keeps its base in packs/.bases/. Every saved edit counts.
When upstream (the bundled pack or the packs repository) is newer than a copy's base, the menu's first screen asks "Merge?", Installed packs shows ↑ merge available, and pack update says so. Nothing is merged unasked.
pack merge <name> [--dry-run] [--yes-theirs | --yes-mine]: by canonical term, three-way with the base (two-way for a copy from before 0.6.2, which then gains a base). Conflicts are asked one at a time with both versions and lines from your runs: keep mine (m), take theirs (t), keep both (k, when compatible), decide later (l, recorded in <name>.merge-pending.yaml).
Before writing: a <name>.yaml.bak-<timestamp> backup, and the result checked as normalize loads it. A summary of what was added, updated, kept, combined and removed, the conflicts, and where the learned layer (never changed) now repeats or contradicts the pack.
pack propose --whole on a copy proposes only its changes since the base: ": N additions from ".

SHA-256

6f26753f2c464361a016277541ede823f3a0dbf7bd1c2959847565252424035c  transcript-normalizer-0.6.2-linux-full.tar.gz
12667861ef9949982b97de195d956833e5feaea47f3d5c393dfa31b98c33fd8b  transcript-normalizer-0.6.2-linux-lite.tar.gz
e8be32d61e29d96caf572a6ff9e191460c91dfb03a8c82f528f3fffa342b754e  transcript-normalizer-0.6.2-macos-full.zip
e95b240a195d2877f1780adcaf2e370d35cab0fde02c289c0cca837f13ae818d  transcript-normalizer-0.6.2-macos-lite.zip
67ffd3f56083a2dc65223b80f85425c59e72acaf131ebfe983ad9ff52bda9043  transcript-normalizer-0.6.2-windows-full.zip
e154432b56abc5f08f042d4679c8962baf34cff05a4c547c40455fb9cb958242  transcript-normalizer-0.6.2-windows-lite.exe
47aa2735f7e3951cb1f9e4312bcebbd6fe63b91da1e83ede9b8ef0ea89f63b01  transcript_normalizer-0.6.2-py3-none-any.whl
f46eb78be6ecbdcbe6ee52b86b95c7d067da196a73b942a3918324eff967e75b  transcript_normalizer-0.6.2.tar.gz

Assets 10

v0.6.1

github-actions released this 08 Oct 21:59

v0.6.1

27deb90

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.6.1-<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-0.6.1-<system>-full`	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 Windows and macOS, a `.zip`: unzip, then open `transcript-normalizer.exe` inside the folder (`transcript-normalizer` on macOS)
`transcript_normalizer-0.6.1-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.6.1-<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-0.6.1-<sistema>-full`	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 Windows e no macOS, um `.zip`: descompacte e abra o `transcript-normalizer.exe` dentro da pasta (`transcript-normalizer` no macOS)
`transcript_normalizer-0.6.1-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

Editing packs (D-066), contributing a whole pack (D-067), English and phonetic classes (D-068).

Packs → Edit a pack: add a term (class from the pack's classes, aliases, variants one per line), edit a term, remove a term, show terms (paged, searchable). A bundled or repository pack is read-only; the menu offers your own copy first. Every change is checked and saved with the next patch version. A variant under 3 letters is refused (D-005); a variant made of ordinary words is saved with a warning (D-032). Commands: pack copy, pack add-term, pack edit-term, pack remove-term, pack show.
"Add a term you noticed", offered after Normalize and in Show a run's outputs: the wrong form (with up to five of the run's lines containing it), what it should be, then a variant or alias of an existing term, or a new term; then an offer to normalize the run again.
Packs → Export a pack file and pack export <name> [--to <path>]: <name>-<version>.yaml.
Packs → Contribute a pack and pack propose --whole <name>: the pack's summary, a question, contributions/<name>-<version>.yaml, and a prefilled issue "New pack: " or "Update: " with the file in the body, collapsed.
An English language module: folding, plurals (-s, -es, -ies), bn/B and mn/M after a number as billion and million, sentence punctuation. The menu passes --allow-generic, with a notice, only for a language that still has no module.
phonetic_classes: per pack: which classes the phonetic source compares (default pessoa, organizacao, and companhia where declared). The medicina, tecnologia and esportes templates set their own. Pack 0.3.7: financas-ptbr declares D-050's companhia and pessoa; nothing it matches changes. Created packs record their field:.
The Packs menu is now: Installed, Get, Create, Edit, Import, Export, Remove, Contribute, The pack offered first.

SHA-256

500168490e9ce1115240ed17d7871ea20d29fac1dff4ca5e4c90f1fdb6ba368f  transcript-normalizer-0.6.1-linux-full.tar.gz
86d573edaf70df60425668481f3df86a6267dc79e4f0535e49760c5848802470  transcript-normalizer-0.6.1-linux-lite.tar.gz
4954d5accd70f4f46b4e480ba88fc400505e4fb144ec4afb7ce3ab978020448a  transcript-normalizer-0.6.1-macos-full.zip
d65248bcb1ab5f07f24946b8258f0b1ec226f0f51b039c0b48e957609f635251  transcript-normalizer-0.6.1-macos-lite.zip
568b97e453bcd67d1f0b203650fee2d2e59c5eb5445201b0a008d5524ad3b88a  transcript-normalizer-0.6.1-windows-full.zip
e263b07ce0d57fbc755939731560242cca632ef94ef366b5eb4ce0d0233b8118  transcript-normalizer-0.6.1-windows-lite.exe
a97294aa419ceb3b1033db893c76891b44918af95325091ceb498b0fa2e55fb9  transcript_normalizer-0.6.1-py3-none-any.whl
a38f8ec619265543af1ba0f8846e045214c438cb25303ef35d77b9263bc2edda  transcript_normalizer-0.6.1.tar.gz

Assets 10

v0.6.0

github-actions released this 08 Oct 21:24

v0.6.0

392b00a

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.6.0-<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-0.6.0-<system>-full`	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 Windows and macOS, a `.zip`: unzip, then open `transcript-normalizer.exe` inside the folder (`transcript-normalizer` on macOS)
`transcript_normalizer-0.6.0-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.6.0-<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-0.6.0-<sistema>-full`	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 Windows e no macOS, um `.zip`: descompacte e abra o `transcript-normalizer.exe` dentro da pasta (`transcript-normalizer` no macOS)
`transcript_normalizer-0.6.0-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

Packs for other fields: classes per pack (D-064), field templates and a Packs menu (D-065).

A pack declares its classes (classes: [farmaco, doenca]). pessoa, organizacao, sigla and unidade are allowed in every pack. A term with any other class is an error at load, naming the file and the term. A pack with no classes: line keeps the eight finance classes, so every existing pack still loads. Pack 0.3.6: financas-ptbr declares its eight; no term changes.
Ten field templates: financas, medicina, direito, tecnologia, engenharia, educacao-ciencias, esportes, politica-governo, agro, geral. Each gives a new pack its classes and no terms.
Menu item 6, Packs: Installed packs, Get a pack, Create a pack, Import a pack file, Remove a pack, and The pack offered first (moved from Settings). Settings is now 7 and only the folder; Help is 8.
New commands: pack list --installed (version, language, terms, size, source, and ↑ update when the packs repository has a newer version; offline, no wait over 3 seconds), pack create --template <field> --name <n> --lang <l>, pack import <file>, pack remove <name> (never a bundled pack; the learned layer is kept).
When a pack does not fit, the menu says "Pick another pack, or get or create one in Packs."
D-063 records the 0.5.3 measurements: help on windows-full in 5.78, 5.59, 5.13 s as one file, 0.30, 0.29, 0.28 s as a folder; the Linux runner has glibc 2.35.

SHA-256

de7ecee1f3688017ad7a9649a0efaa7dec38c81810134216e34ddcb5eee6bc53  transcript-normalizer-0.6.0-linux-full.tar.gz
10fd9339f37e42a4ad0da8748f268b4468126e81b57ff6d3d3da6e97834a51e6  transcript-normalizer-0.6.0-linux-lite.tar.gz
a5fd2149c88724a7699d1ada6ddc2451980cbceaca3ff9e354f230cb8f63b63d  transcript-normalizer-0.6.0-macos-full.zip
b947f17cd0fe4ec6615f0f2c4f14c334f1cb0aa7a034cd0ed83845dfcc4829e3  transcript-normalizer-0.6.0-macos-lite.zip
fa8dfe69d07ced6856025824bdc8da893852d918ac2594565e5a976b3e5bf618  transcript-normalizer-0.6.0-windows-full.zip
1bab0830eee88da7cb74aaba6f5543f04cd9dfc4e6a8ce6ff917d8a4a64c2bfd  transcript-normalizer-0.6.0-windows-lite.exe
b4e7c66295e660951b2f895c83f1aca3f5e4c93a3c554c089173f3324387b4df  transcript_normalizer-0.6.0-py3-none-any.whl
5d94b33f83f9423271f974c6afc58c701ed1fec8972005d6f263406be3453b5a  transcript_normalizer-0.6.0.tar.gz

Assets 10

v0.5.3

github-actions released this 08 Oct 21:00

v0.5.3

fd39a93

Which file do I download?

file	who it is for	what it does
`transcript-normalizer-0.5.3-<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-0.5.3-<system>-full`	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 Windows and macOS, a `.zip`: unzip, then open `transcript-normalizer.exe` inside the folder (`transcript-normalizer` on macOS)
`transcript_normalizer-0.5.3-py3-none-any.whl`, `.tar.gz`	Python developers	the package, for `pip install`

Qual arquivo baixar?

arquivo	para quem	o que faz
`transcript-normalizer-0.5.3-<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-0.5.3-<sistema>-full`	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 Windows e no macOS, um `.zip`: descompacte e abra o `transcript-normalizer.exe` dentro da pasta (`transcript-normalizer` no macOS)
`transcript_normalizer-0.5.3-py3-none-any.whl`, `.tar.gz`	quem programa em Python	o pacote, para `pip install`

Packaging (D-063), and four fixes from the last Windows run.

The full executables for Windows and macOS are a folder, shipped as a zip (transcript-normalizer-0.5.3-windows-full.zip): unzip, then open transcript-normalizer.exe inside the folder (transcript-normalizer on macOS). As one file, the full build unpacked about 100 MB to a temporary folder on every start, which made it slow to open on Windows. lite stays one file, and so does Linux full. The release runner measures help's start time against 0.5.2's one-file build.
The Linux executables are built on Ubuntu 22.04 (glibc 2.35), so they run on 22.04-based systems such as Zorin 17; 0.5.2's needed the glibc of the newest runner.
The file dialog opens on "All supported (audio, video, captions)"; the separate filters are still there.
Automatic translations in the track list carry "(translations are rate-limited more often)".
A chosen option is echoed by its label, without its description.
Checked: when a pack does not fit, normalized.txt is written with the input's text, line for line (D-054); a test now says so.

SHA-256

d0aa438b4bd03fe6624f3f02e6b0569bf28d993a71906af10d821955d28bf9c6  transcript-normalizer-0.5.3-linux-full.tar.gz
787b0c428d39a74691bd5e4b9195cf803963917ba4c048e14a834375b4fafcbf  transcript-normalizer-0.5.3-linux-lite.tar.gz
3dd362d45eb71d1a4fa25ff5c021c858b9dc5527174492662fc358a8e47c6ff8  transcript-normalizer-0.5.3-macos-full.zip
86e441a431c4486e65f937b2753954e802caac2d2ba4136d278da8bc7a7b2688  transcript-normalizer-0.5.3-macos-lite.zip
73b9a6d6a4029af96eac5d3071b9f5efd7beecae004d85a847a51d3adbef116a  transcript-normalizer-0.5.3-windows-full.zip
96dd0f4a6c1e9227a5e27484adab17ac770d44acc1828b86cb8f5cac983713e9  transcript-normalizer-0.5.3-windows-lite.exe
68045bf8e2bbebc1f5d47ffb2c4731339581b748f567cc2f0b45f9c8b3411ceb  transcript_normalizer-0.5.3-py3-none-any.whl
09b8277d9728cf11b5612c3fc41cb255a9505fbca023d9d3d90c114fdd987172  transcript_normalizer-0.5.3.tar.gz

Assets 10

Releases: Tatiwel/transcript-normalizer

Release list

v0.8.1

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SHA-256

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v0.8.0

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SHA-256

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v0.7.0

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SHA-256

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v0.6.5

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v0.6.4

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SHA-256

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v0.6.3

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SHA-256

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v0.6.2

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SHA-256

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v0.6.1

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SHA-256

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v0.6.0

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SHA-256

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v0.5.3

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SHA-256

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