tonhowtf/omniget · error
a transcrição saiu vazia
Error message
a transcrição saiu vazia
What it means
After the source is resolved, `run` checks that the collected subtitle cues are non-empty. If transcription/download produced zero cues, the tool aborts with "a transcrição saiu vazia" because there is nothing to build notes from. This catches videos with no captions, empty caption tracks, or a Whisper run that returned no segments.
Solutions
- Choose a video that has available captions or check the URL points to the intended video.
- Fall back to the Whisper path by supplying a media file when captions are empty.
- Check for region/age restrictions that make the caption track inaccessible.
- Retry if the failure was transient (caption fetch occasionally returns empty on throttling).
Defensive patterns
Strategy: fallback
Try / catch
match run(opts).await {
Err(e) if e.to_string().contains("transcrição saiu vazia") => {
// fall back to whisper path with a media file
}
other => other?,
} Prevention
- Prefer videos known to have captions; otherwise always provide a media file.
- Check caption availability for the URL before invoking.
- Handle empty-transcription explicitly in the calling workflow.
When it happens
Trigger: `cues.is_empty()` after source selection: video has no subtitle track, the fetched caption track is empty, or the Whisper transcription returned no cues.
Common situations: A YouTube video with captions disabled; a caption track that exists but contains no entries; audio too short/silent for Whisper to produce segments; wrong language selected yielding an empty track.
Understand the failure class
Background: EmptyResultError / "no results found": when an API or scraper succeeds but returns zero rows — this error's family across 9 libraries.
Related errors
- a conta logada não tem nenhuma assinatura ativa (ou a…
- a lista voltou vazia — o TikTok não entregou os favoritos…
- esse pin nao tem midia baixavel
- esse vídeo não tem legenda; ligue o Whisper para transcrever
- não consegui ler a legenda
AI-assisted analysis of tonhowtf/omniget@8600b91f42 (2026-09-12).
Data as JSON: /api/errors/d84d29182af8fc38.
Report an issue: GitHub.
Appendix: source
Thrown at src-tauri/omniget-core/src/core/tools/yt_notes.rs:521
let r = transcribe(&path, &opts, progress.clone()).await?;
if meta.title.is_empty() {
meta.title = path
.file_stem()
.map(|s| s.to_string_lossy().to_string())
.unwrap_or_default();
}
meta.language = r.language.clone();
meta.duration_seconds = r.seconds;
cues = r.cues;
source = "whisper".to_string();
} else {
return Err(anyhow!(
"informe um link, uma legenda ou um arquivo de mídia"
));
}
if cues.is_empty() {
return Err(anyhow!("a transcrição saiu vazia"));
}
super::report(&progress, ID, "progress", 4, Some(4), None);
let chapters = if opts.use_chapters {
meta.chapters.clone()
} else {
Vec::new()
};
let boundaries: Vec<i64> = chapters.iter().map(|c| c.start_ms).collect();
let paragraphs = stitch_at(&cues, &boundaries, &opts.stitch);
let doc = NotesDoc {
title: meta.title.clone(),
channel: meta.channel.clone(),
url: meta.url.clone(),
duration_seconds: meta.duration_seconds,
language: meta.language.clone(),
generated: chrono::Local::now().format("%Y-%m-%d").to_string(),
chapters: chapters.clone(),
paragraphs: paragraphs.clone(),View on GitHub (pinned to 8600b91f42)